Publications using NEURON — NEURON documentation (2024)

Each item in this list is a publication about work that actually usedNEURON. With rare exceptions abstracts have been omitted. Please helpus keep this list complete and accurate by addressing questions,corrections, additions, or comments to ted dot carnevale at yaledot edu

Total of 2672 items verified as of February 15, 2022.

Abbasi, S., Abbasi, A. and Sarbaz, Y.. Introducing treatmentstrategy for cerebellar ataxia in mutant med mice: combination ofacetazolamide and 4-aminopyridine. Computer Methods and Programsin Biomedicine 113:697-704, 10.1016/j.cmpb.2013.11.008, 2014.

Abbasi, S., Abbasi, A., Sarbaz, Y. and Janahmadi, M.. Powerspectral density analysis of Purkinje cell tonic and burst firingpatterns from a rat model of ataxia and riluzole treated. Basicand Clinical Neuroscience 8:61-68, 10.15412/J.BCN.03080108, 2017.

Abbasi, S., Abbasi, A., Sarbaz, Y. and Shahabi, P.. Contributionof somatic and dendritic SK channels in the firing rate of deepcerebellar nuclei: implication in cerebellar ataxia. Basic andClinical Neuroscience 7:57-62, 2016.

Abdelaal, A. Y., Mousa, M. H., Gamal, M., Khalil, M. I.,Elbasiouny, S. M. and Eldawlatly, S.. A classification approach torecognize the firing of spinal motoneurons in amyotrophic lateralsclerosis. Annual International Conference of the IEEEEngineering in Medicine and Biology Society 2020:3680-3683,10.1109/EMBC44109.2020.9176551, 2020.

Aberra, A. S., Peterchev, A. V. and Grill, W. M.. Biophysicallyrealistic neuron models for simulation of cortical stimulation.Journal of Neural Engineering 15:066023,10.1088/1741-2552/aadbb1, 2018.

Aberra, A. S., Wang, B., Grill, W. M. and Peterchev, A. V..Simulation of transcranial magnetic stimulation in head model withmorphologically-realistic cortical neurons. Brain Stimulation13:175-189, 10.1016/j.brs.2019.10.002, 2020.

Abrahamsson, T., Cathala, L., Matsui, K., Shigemoto, R. andDigregorio, D. A.. Thin dendrites of cerebellar interneuronsconfer sublinear synaptic integration and a gradient of short-termplasticity. Neuron 73:1159-1172, 10.1016/j.neuron.2012.01.027,2012.

Acciarito, S., Cardarilli, G. C., Cristini, A., Di Nunzio, L.,Fazzolari, R., Khanal, G. M., Re, M. and Susi, G.. Hardware designof LIF with Latency neuron model with memristive STDP synapses.Integration-the VLSI Journal 59:81-89,10.1016/j.vlsi.2017.05.006, 2017.

Acker, C. D. and Antic, S. D.. Quantitative assessment of thedistributions of membrane conductances involved in actionpotential backpropagation along basal dendrites. Journal ofNeurophysiology 101:1524-1541, 2009.

Acker, C. D., Hoyos, E. and Loew, L. M.. EPSPs measured inproximal dendritic spines of cortical pyramidal neurons. eNeuro3:ENEURO.0050-15.2016, 10.1523/ENEURO.0050-15.2016, 2016.

Ackermann, D. M., Bhadra, N., Gerges, M. and Thomas, P. J..Dynamics and sensitivity analysis of high-frequency conductionblock. Journal of Neural Engineering 8:065007,10.1088/1741-2560/8/6/065007, 2011.

Ackermann, Jr., D. M., Foldes, E. L., Bhadra, N. and Kilgore, K.L.. Effect of bipolar cuff electrode design on block thresholds inhigh-frequency electrical neural conduction block. IEEETransactions on Neural Systems and Rehabilitation Engineering17:469-477, 10.1109/TNSRE.2009.2034069, 2009.

Adesnik, H. and Scanziani, M.. Lateral competition for corticalspace by layer-specific horizontal circuits. Nature 464:1155-60,10.1038/nature08935, 2010.

Adonias, G. L., Duffy, C., Barros, M. T., McCoy, C. E. andBalasubramaniam, S.. Analysis of the information capacity ofneuronal molecular communications under demyelination andremyelination. IEEE Transactions on Neural Systems andRehabilitation Engineering 29:2765-2774,10.1109/TNSRE.2021.3137350, 2021.

Adonias, G. L., Siljak, H., Barros, M. T., Marchetti, N., White,M. and Balasubramaniam, S.. Reconfigurable filtering ofneuro-spike communications using synthetically engineered logiccircuits. Frontiers In Computational Neuroscience 14:556628,10.3389/fncom.2020.556628, 2020a.

Adonias, G. L., Yastrebova, A., Barros, M. T., Koucheryavy, Y.,Cleary, F. and Balasubramaniam, S.. Utilizing neurons for digitallogic circuits: a molecular communications analysis. IEEETransactions on NanoBioscience 19:224-236,10.1109/TNB.2020.2975942, 2020b.

Aghvami, S. S., Müller, M., Araabi, B. N. and Egger, V..Coincidence detection within the excitable rat olfactory bulbgranule cell spines. Journal of Neuroscience 39:584-595,10.1523/JNEUROSCI.1798-18.2018, 2019.

Aguiar, P., Sousa, M. and Lima, D.. NMDA channels together withL-type calcium currents and calcium-activated nonspecific cationiccurrents are sufficient to generate windup in WDR neurons.Journal of Neurophysiology 104:1155-1166, 10.1152/jn.00834.2009,2010.

Aguiar, P. and Willshaw, D.. Hippocampal mossy fibre boutons asdynamical synapses. Neurocomputing 58-60:699-703, 2004.

Ahlfors, S. P. and Wreh, 2nd, C.. Modeling the effect of dendriticinput location on MEG and EEG source dipoles. Medical andBiological Engineering and Computing 53:879-887,10.1007/s11517-015-1296-5, 2015.

Ahmed, B., Anderson, J. C., Douglas, R. J., Martin, K. A. C. andWhitteridge, D.. Estimates of the net excitatory currents evokedby visual stimulation of identified neurons in cat visual cortex.Cerebral Cortex 8:462-476, 1998.

Ait Ouares, K., Filipis, L., Tzilivaki, A., Poirazi, P. andCanepari, M.. Two distinct sets of Ca2+ and K+ channels areactivated at different membrane potentials by the climbing fibersynaptic potential in Purkinje neuron dendrites. Journal ofNeuroscience 39:1969-1981, 10.1523/JNEUROSCI.2155-18.2018, 2019.

Akbari, A., Moradi, K., Hadaeghi, F., Gharibzadeh, S. andEmkanjoo, Z.. Is “capacitive coupling” purely excitatory in thecardiac tissue?. Frontiers in Physiology 5:77,10.3389/fphys.2014.00077, 2014.

Akemann, W. and Knöpfel, T.. Interaction of Kv3 potassium channelsand resurgent sodium current influences the rate of spontaneousfiring of Purkinje neurons. Journal of Neuroscience26:4602-4612, 2006.

Akemann, W., Lundby, A., Mutoh, H. and Knöpfel, T.. Effect ofvoltage sensitive fluorescent proteins on neuronal excitability.Biophysical Journal 96:3959-3976, 2009.

Akiyama, H., Shimizu, Y., Miyakawa, H. and Inoue, M..Extracellular DC electric fields induce nonuniform membranepolarization in rat hippocampal CA1 pyramidal neurons. BrainResearch 1383:22-35, 10.1016/j.brainres.2011.01.097, 2011.

Alessi, C., Raspanti, A. and Magistretti, J.. Two distinct typesof depolarizing afterpotentials are differentially expressed instellate and pyramidal-like neurons of entorhinal-cortex layerII.. Hippocampus 26:380-404, 10.1002/hipo.22529, 2016.

Alfonsa, H., Merricks, E. M., Codadu, N. K., Cunningham, M. O.,Deisseroth, K., Racca, C. and Trevelyan, A. J.. The contributionof raised intraneuronal chloride to epileptic network activity.Journal of Neuroscience 35:7715-7726,10.1523/JNEUROSCI.4105-14.2015, 2015.

Allain, A.-E., Cazenave, W., Delpy, A., Exertier, P., Barthe, C.,Meyrand, P., Cattaert, D. and Branchereau, P.. Nonsynaptic glycinerelease is involved in the early KCC2 expression. DevelopmentalNeurobiology 76:764-779, 10.1002/dneu.22358, 2016.

Allam, S. L., Ghaderi, V. S., Bouteiller, J.-M. C., Legendre, A.,Ambert, N., Greget, R., Bischoff, S., Baudry, M. and Berger, T.W.. A computational model to investigate astrocytic glutamateuptake influence on synaptic transmission and neuronal spiking.Frontiers in Computational Neuroscience 6:70,10.3389/fncom.2012.00070, 2012.

Alle, H. and Geiger, J. R. P.. Combined analog and actionpotential coding in hippocampal mossy fibers. Science311:1290-1293, 2006.

Alle, H. and Geiger, J. R. P.. GABAergic spill-over transmissiononto hippocampal mossy fiber boutons. Journal of Neuroscience27:942-950, 2007.

Alle, H., Roth, A. and Geiger, J. R. P.. Energy-efficient actionpotentials in hippocampal mossy fibers. Science 325:1405-1408,10.1126/science.1174331, 2009.

Allen, J. M. and Elbasiouny, S. M.. The effects of modelcomposition design choices on high-fidelity simulations ofmotoneuron recruitment and firing behaviors. Journal of NeuralEngineering 15:036024, 10.1088/1741-2552/aa9db5, 2018.

Allken, V., Chepkoech, J.-L., Einevoll, G. T. and Halnes, G.. Thesubcellular distribution of T-type Ca2+ channels in interneuronsof the lateral geniculate nucleus. PLoS ONE 9:e107780,10.1371/journal.pone.0107780, 2014.

Almog, M., Barkai, T., Lampert, A. and Korngreen, A..Voltage-gated sodium channels in neocortical pyramidal neuronsdisplay Cole-Moore activation kinetics. Frontiers in CellularNeuroscience 12:187, 10.3389/fncel.2018.00187, 2018.

Almog, M. and Korngreen, A.. A quantitative description ofdendritic conductances and its application to dendritic excitationin layer 5 pyramidal neurons. Journal of Neuroscience34:182-196, 10.1523/JNEUROSCI.2896-13.2014, 2014.

Alturki, A., Feng, F., Nair, A., Guntu, V. and Nair, S. S..Distinct current modules shape cellular dynamics in model neurons.Neuroscience 334:309-331, 10.1016/j.neuroscience.2016.08.016,2016.

Alvarez, F. P. and Destexhe, A.. Simulating cortical networkactivity states constrained by intracellular recordings.Neurocomputing 58:285-290, 2004.

Al-Yaari, M., Yamada, R. and Kuba, H.. Excitatory-inhibitorysynaptic coupling in avian nucleus magnocellularis. Journal ofNeuroscience 40:619-631, 10.1523/JNEUROSCI.1124-19.2019, 2020.

Amarillo, Y., Tissone, A. I., Mato, G. and Nadal, M. S.. Inwardrectifier potassium current IKir promotes intrinsic pacemakeractivity of thalamocortical neurons. Journal of Neurophysiology119:2358-2372, 10.1152/jn.00867.2017, 2018.

Amarillo, Y., Zagha, E., Mato, G., Rudy, B. and Nadal, M. S.. Theinterplay of seven subthreshold conductances controls the restingmembrane potential and the oscillatory behavior of thalamocorticalneurons. Journal of Neurophysiology 112:393-410,10.1152/jn.00647.2013, 2014.

Amatrudo, J. M., Weaver, C. M., Crimins, J. L., Hof, P. R.,Rosene, D. L. and Luebke, J. I.. Influence of highly distinctivestructural properties on the excitability of pyramidal neurons inmonkey visual and prefrontal cortices. Journal of Neuroscience32:13644-13660, 10.1523/JNEUROSCI.2581-12.2012, 2012.

Ambros-Ingerson, J., Grover, L. M. and Holmes, W. R.. Aclassification method to distinguish cell-specific responseselicited by current pulses in hippocampal CA1 pyramidal cells.Neural Computation 20:1512-1536, 2008.

Ambros-Ingerson, J. and Holmes, W. R.. Analysis and comparison ofmorphological reconstructions of hippocampal field CA1 pyramidalcells. Hippocampus 15:302-315, 2005.

Amir, R. and Devor, M.. Electrical excitability of the soma ofsensory neurons is required for spike invasion of the soma, butnot for through-conduction. Biophysical Journal 84:2181-2191,2003a.

Amir, R. and Devor, M.. Extra spike formation in sensory neuronsand the disruption of afferent spike patterning. BiophysicalJournal 84:2700-2708, 2003b.

Amir, R., Kocsis, J. D. and Devor, M.. Multiple interacting sitesof ectopic spike electrogenesis in primary sensory neurons.Journal of Neuroscience 25:2576-2585, 2005.

Amir, R., Liu, C.-N., Kocsis, J. D. and Devor, M.. Oscillatorymechanism in primary sensory neurones. Brain 125:421-435, 2002a.

Amir, R., Michaelis, M. and Devor, M.. Burst discharge in primarysensory neurons: triggered by subthreshold oscillations,maintained by depolarizing afterpotentials. Journal ofNeuroscience 22:1187-1198, 2002b.

Amos, G. J., Jacobson, I., Duker, G. and Carlsson, L.. Block ofHERG-carried K+ currents by the new repolarization delaying agentH 345/52. Journal of Cardiovascular Electrophysiology14:651-658, 2003.

Amsalem, O., Eyal, G., Rogozinski, N., Gevaert, M., Kumbhar, P.,Schürmann, F. and Segev, I.. An efficient analytical reduction ofdetailed nonlinear neuron models. Nature Communications 11:288,10.1038/s41467-019-13932-6, 2020.

Amsalem, O., Van Geit, W., Muller, E., Markram, H. and Segev, I..From neuron biophysics to orientation selectivity in electricallycoupled networks of neocortical L2/3 large basket cells. CerebralCortex 26:3655-3668, 10.1093/cercor/bhw166, 2016.

An, L., Tang, Y., Wang, Q., Pei, Q., Wei, R., Duan, H. and Liu, J.K.. Coding capacity of purkinje cells with different schemes ofmorphological reduction. Frontiers In Computational Neuroscience13:29, 10.3389/fncom.2019.00029, 2019.

Anastassiou, C. A., Montgomery, S. M., Barahona, M., Buzsáki, G.and Koch, C.. The effect of spatially inhom*ogeneous extracellularelectric fields on neurons. Journal of Neuroscience30:1925-1936, 10.1523/JNEUROSCI.3635-09.2010, 2010.

Anaya, C. J., Zander, H. J., Graham, R. D., Sankarasubramanian, V.and Lempka, S. F.. Evoked potentials recorded from the spinal cordduring neurostimulation for pain: a computational modeling study.Neuromodulation 23:64-73, 10.1111/ner.12965, 2020.

Anderson, D. N., Anderson, C., Lanka, N., Sharma, R., Butson, C.R., Baker, B. W. and Dorval, A. D.. The μDBS: multiresolution,directional deep brain stimulation for improved targeting of smalldiameter fibers. Frontiers in Neuroscience 13:1152,10.3389/fnins.2019.01152, 2019a.

Anderson, D. N., Duffley, G., Vorwerk, J., Dorval, A. D. andButson, C. R.. Anodic stimulation misunderstood: preferentialactivation of fiber orientations with anodic waveforms in deepbrain stimulation. Journal of Neural Engineering 16:016026,10.1088/1741-2552/aae590, 2019b.

Anderson, D. N., Osting, B., Vorwerk, J., Dorval, A. D. andButson, C. R.. Optimized programming algorithm for cylindrical anddirectional deep brain stimulation electrodes. Journal of NeuralEngineering 15:026005, 10.1088/1741-2552/aaa14b, 2018a.

Anderson, J. C., Binzegger, T., Kahana, O., Segev, I. and Martin,K. A. C.. Dendritic asymmetry cannot account for directionalresponses of neurons in visual cortex. Nature Neuroscience2:820-824, 1999.

Anderson, R. W., Farokhniaee, A., Gunalan, K., Howell, B. andMcIntyre, C. C.. Action potential initiation, propagation, andcortical invasion in the hyperdirect pathway during subthalamicdeep brain stimulation. Brain Stimulation 11:1140-1150,10.1016/j.brs.2018.05.008, 2018b.

Andrade, A., Hope, J., Allen, A., Yorgan, V., Lipscombe, D. andPan, J. Q.. A rare schizophrenia risk variant of CACNA1I disruptsCaV3.3 channel activity. Scientific Reports 6:34233,10.1038/srep34233, 2016.

Andree, A., Li, N., Butenko, K., Kober, M., Chen, J. Z., Higuchi,T., Fauser, M., Storch, A., Ip, C. W., Kühn, A. A., Horn, A. andvan Rienen, U.. Deep brain stimulation electrode modeling in rats.Experimental Neurology 350:113978,10.1016/j.expneurol.2022.113978, 2022.

Andreozzi, E., Carannante, I., D’Addio, G., Cesarelli, M. andBalbi, P.. Phenomenological models of Nav1.5. A side by side,procedural, hands-on comparison between Hodgkin-Huxley and kineticformalisms.. Scientific Reports 9:17493,10.1038/s41598-019-53662-9, 2019.

Androuin, A., Potier, B., Nägerl, U. V., Cattaert, D., Danglot,L., Thierry, M., Youssef, I., Triller, A., Duyckaerts, C.,Hachimi, K. H. E., Dutar, P., Delatour, B. and Marty, S.. Evidencefor altered dendritic spine compartmentalization in Alzheimer’sdisease and functional effects in a mouse model. ActaNeuropathologica 135:839-854, 10.1007/s00401-018-1847-6, 2018.

Angelo, K., London, M., Christensen, S. R. and Häusser, M.. Localand global effects of I-h distribution in dendrites of mammalianneurons. Journal of Neuroscience 27:8643-8653, 2007.

Angulo, S. L., Henzi, T., Neymotin, S. A., Suarez, M. D., Lytton,W. W., Schwaller, B. and Moreno, H.. Amyloid pathology-producedunexpected modifications of calcium homeostasis in hippocampalsubicular dendrites. Alzheimer’s and Dementia 16:251-261,10.1016/j.jalz.2019.07.017, 2020.

Angulo, S. L., Orman, R., Neymotin, S. A., Liu, L., Buitrago, L.,Cepeda-Prado, E., Stefanov, D., Lytton, W. W., Stewart, M., Small,S. A., Duff, K. E. and Moreno, H.. Tau and amyloid-relatedpathologies in the entorhinal cortex have divergent effects in thehippocampal circuit. Neurobiology of Disease 108:261-276,10.1016/j.nbd.2017.08.015, 2017.

Anirudhan, A. and Narayanan, R.. Analogous synaptic plasticityprofiles emerge from disparate channel combinations. Journal ofNeuroscience 35:4691-4705, 10.1523/JNEUROSCI.4223-14.2015, 2015.

Ankri, L., Ezra-Tsur, E., Maimon, S. R., Kaushansky, N. andRivlin-Etzion, M.. Antagonistic center-surround mechanisms fordirection selectivity in the retina. Cell Reports 31:107608,10.1016/j.celrep.2020.107608, 2020.

Antunes, G., Faria da Silva, S. F. and Simoes de Souza, F. M..Mirror neurons modeled through spike-timing-dependent plasticityare affected by channelopathies associated with autism spectrumdisorder. International Journal of Neural Systems 28:1750058,10.1142/S0129065717500587, 2018.

Anwar, H., Hepburn, I., Nedelescu, H., Chen, W. and De Schutter,E.. Stochastic calcium mechanisms cause dendritic calcium spikevariability. Journal of Neuroscience 33:15848-15867,10.1523/JNEUROSCI.1722-13.2013, 2013.

Anwar, H., Hong, S. and De Schutter, E.. ControllingCa2+-activated K+ channels with models of Ca2+ buffering inPurkinje cells. Cerebellum 11:681-693,10.1007/s12311-010-0224-3, 2012.

Anwar, H., Roome, C. J., Nedelescu, H., Chen, W., Kuhn, B. and DeSchutter, E.. Dendritic diameters affect the spatial variabilityof intracellular calcium dynamics in computer models. Frontiersin Cellular Neuroscience 8:168, 10.3389/fncel.2014.00168, 2014.

Apollo, N., Grayden, D. B., Burkitt, A. N., Meffin, H. andKameneva, T.. Modeling intrinsic electrophysiology of AII amacrinecells: preliminary results [Online]. IEEE Engineering in Medicineand Biology Society Proceedings 2013:6551-6554,10.1109/EMBC.2013.6611056, 2013.

Apostolides, P. F., Milstein, A. D., Grienberger, C., Bittner, K.C. and Magee, J. C.. Axonal filtering allows reliable outputduring dendritic plateau-driven complex spiking in Ca1 neurons.Neuron 89:770-783, 10.1016/j.neuron.2015.12.040, 2016.

Appukuttan, S., Brain, K. L. and Manchanda, R.. A computationalmodel of urinary bladder smooth muscle syncytium: validation andinvestigation of electrical properties. Journal of ComputationalNeuroscience 38:167-187, 10.1007/s10827-014-0532-6, 2015a.

Appukuttan, S., Brain, K. L. and Manchanda, R.. Modelingextracellular fields for a three-dimensional network of cellsusing NEURON. Journal of Neuroscience Methods 290:27-38,10.1016/j.jneumeth.2017.07.005, 2017a.

Appukuttan, S., Brain, K. L. and Manchanda, R.. Effect ofvariations in gap junctional coupling on the frequency ofoscillatory action potentials in a smooth muscle syncytium.Frontiers in Physiology 12:655225, 10.3389/fphys.2021.655225,2021.

Appukuttan, S., Padmakumar, M., Brain, K. L. and Manchanda, R.. Amethod for the analysis of AP foot convexity: insights into smoothmuscle biophysics. Frontiers in Bioengineering and Biotechnology5:64, 10.3389/fbioe.2017.00064, 2017b.

Appukuttan, S., Padmakumar, M., Young, J. S., Brain, K. L. andManchanda, R.. Investigation of the syncytial nature of detrusorsmooth muscle as a determinant of action potential shape.Frontiers in Physiology 9:1300, 10.3389/fphys.2018.01300, 2018.

Appukuttan, S., Sathe, R. and Manchanda, R.. Modular approach tomodeling hom*otypic and heterotypic gap junctions [Online]. 2015IEEE 5th International Conference on Computational Advances in Bioand Medical Sciences, 10.1109/iccabs.2015.7344707, 2015b.

Appukuttan, S., Sathe, R. and Manchanda, R.. Influence of gapjunction subtypes on passive and active electrical properties ofsyncytial tissues [Online]. 2016 International Conference onSystems in Medicine and Biology, 10.1109/icsmb.2016.7915104,2016.

Aradi, I. and Erdi, P.. Multicompartmental modeling of neuralcircuits in the olfactory bulb. International Journal of NeuralSystems 7:519-527, 1996a.

Aradi, I. and Erdi, P.. Multicompartmental modeling of theolfactory bulb. Cybernetics and Systems 27:605-615, 1996b.

Aradi, I. and Erdi, P.. Signal generation and propagation in theolfactory bulb: multicompartmental modeling. Computers andMathematics with Applications 32:1-27, 1996c.

Aradi, I. and Erdi, P.. Simulation of the whole olfactory bulbbased on detailed single cell models. Neurobiology 4:251-252,1996d.

Aradi, I. and Maccaferri, G.. Cell type-specific synaptic dynamicsof synchronized bursting in the juvenile CA3 rat hippocampus.Journal of Neuroscience 24:9681-9692, 2004.

Aradi, I., Santhakumar, V., Chen, K. and Soltesz, I.. Postsynapticeffects of GABAergic synaptic diversity: regulation of neuronalexcitability by changes in IPSC variance. Neuropharmacology43:511-522, 2002.

Aradi, I., Santhakumar, V. and Soltesz, I.. Impact ofheterogeneous perisomatic IPSC populations on pyramidal cellfiring rates. Journal of Neurophysiology 91:2849-2858, 2004.

Aradi, I. and Soltesz, I.. Modulation of network behaviour bychanges in variance in interneuronal properties. Journal ofPhysiology 538:227-251, 2002.

Arai, I., Tanaka, M. and Tachibana, M.. Active roles ofelectrically coupled bipolar cell network in the adult retina.Journal of Neuroscience 30:9260-9270,10.1523/JNEUROSCI.1590-10.2010, 2010.

Araya, R., Vogels, T. P. and Yuste, R.. Activity-dependentdendritic spine neck changes are correlated with synapticstrength. Proceedings of the National Academy of Sciences of theUnited States of America 111:E2895-E2904,10.1073/pnas.1321869111, 2014.

Archie, K. A. and Mel, B. W.. A model for intradendriticcomputation of binocular disparity. Nature Neuroscience 3:54-63,2000.

Arias, E. R., Valle-Leija, P., Morales, M. A. and Cifuentes, F..Differential contribution of BDNF and NGF to long-termpotentiation in the superior cervical ganglion of the rat.Neuropharmacology 81:206-214, 10.1016/j.neuropharm.2014.02.001,2014.

Ariav, G., Polsky, A. and Schiller, J.. Submillisecond precisionof the input-output transformation function mediated by fastsodium dendritic spikes in basal dendrites of CA1 pyramidalneurons. Journal of Neuroscience 23:7750-7758, 2003.

Arkhipov, A., Gouwens, N. W., Billeh, Y. N., Gratiy, S., Iyer, R.,Wei, Z., Xu, Z., Abbasi-Asl, R., Berg, J., Buice, M., Cain, N., daCosta, N., de Vries, S., Denman, D., Durand, S., Feng, D., Jarsky,T., Lecoq, J., Lee, B., Li, L., Mihalas, S., Ocker, G. K., Olsen,S. R., Reid, R. C., Soler-Llavina, G., Sorensen, S. A., Wang, Q.,Waters, J., Scanziani, M. and Koch, C.. Visual physiology of thelayer 4 cortical circuit in silico. PLoS Computational Biology14:e1006535, 10.1371/journal.pcbi.1006535, 2018.

Arleo, A., Nieus, T., Bezzi, M., D’Errico, A., D’Angelo, E. andCoenen, O. J.-M. D.. How synaptic release probability shapesneuronal transmission: information-theoretic analysis in acerebellar granule cell. Neural Computation 22:2031-2058,10.1162/NECO_a_00006-Arleo, 2010.

Arruda, D., Publio, R. and Roque, A. C.. The periglomerular cellof the olfactory bulb and its role in controlling mitral cellspiking: a computational model. PLoS ONE 8:e56148,10.1371/journal.pone.0056148, 2013.

Arsiero, M., Lüscher, H.-R., Lundstrom, B. N. and Giugliano, M..The impact of input fluctuations on the frequency-currentrelationships of layer 5 pyramidal neurons in the rat medialprefrontal cortex. Journal of Neuroscience 27:3274-3284, 2007.

Aruljothi, S., Mandge, D. and Manchanda, R.. A biophysical modelof heat sensitivity in nociceptive C-fiber neurons [Online]. 20178th International IEEE/EMBS Conference on Neural Engineering,10.1109/ner.2017.8008422, 2017.

Ascoli, G. A., Gasparini, S., Medinilla, V. and Migliore, M..Local control of postinhibitory rebound spiking in CA1 pyramidalneuron dendrites. Journal of Neuroscience 30:6434-6442,10.1523/JNEUROSCI.4066-09.2010, 2010.

Ashhad, S. and Feldman, J. L.. Emergent elements of inspiratoryrhythmogenesis: network synchronization and synchrony propagation.Neuron 106:482-497.e4, 10.1016/j.neuron.2020.02.005, 2020.

Ashhad, S. and Narayanan, R.. Quantitative interactions betweenthe A-type K+ current and inositol trisphosphate receptorsregulate intraneuronal Ca2+ waves and synaptic plasticity.Journal of Physiology 591:1645-1669,10.1113/jphysiol.2012.245688, 2013.

Ashhad, S. and Narayanan, R.. Active dendrites regulate the impactof gliotransmission on rat hippocampal pyramidal neurons..Proceedings of the National Academy of Sciences of the UnitedStates of America 113:E3280-E3289, 10.1073/pnas.1522180113, 2016.

Aspart, F., Ladenbauer, J. and Obermayer, K.. Extendingintegrate-and-fire model neurons to account for the effects ofweak electric fields and input filtering mediated by the dendrite.PLoS Computational Biology 12:e1005206,10.1371/journal.pcbi.1005206, 2016.

Aspart, F., Remme, M. W. H. and Obermayer, K.. Differentialpolarization of cortical pyramidal neuron dendrites through weakextracellular fields. PLoS Computational Biology 14:e1006124,10.1371/journal.pcbi.1006124, 2018.

Athilingam, J. C., Ben-Shalom, R., Keeshen, C. M., Sohal, V. S.and Bender, K. J.. Serotonin enhances excitability and gammafrequency temporal integration in mouse prefrontal fast-spikinginterneurons. eLife 610.7554/eLife.31991, 2017.

Aubie, B., Sayegh, R. and Faure, P. A.. Duration tuning acrossvertebrates. Journal of Neuroscience 32:6373-6390,10.1523/JNEUROSCI.5624-11.2012, 2012.

Augustin, H., Zylbertal, A. and Partridge, L.. A computationalmodel of the escape response latency in the giant fiber system ofDrosophila melanogaster. eNeuro 6:ENEURO.0423-18.2019,10.1523/ENEURO.0423-18.2019, 2019.

Avella Gonzalez, O. J., van Aerde, K. I., van Elburg, R. A. J.,Poil, S.-S., Mansvelder, H. D., Linkenkaer-Hansen, K., van Pelt,J. and van Ooyen, A.. External drive to inhibitory cells inducesalternating episodes of high- and low-amplitude oscillations.PLoS Computational Biology 8:e1002666,10.1371/journal.pcbi.1002666, 2012.

Avella Gonzalez, O. J., van Aerde, K. I., Mansvelder, H. D., vanPelt, J. and van Ooyen, A.. Inter-network interactions: impact ofconnections between oscillatory neuronal networks on oscillationfrequency and pattern. PLoS ONE 9:e100899,10.1371/journal.pone.0100899, 2014.

Avella Gonzalez, O. J., Mansvelder, H. D., van Pelt, J. and vanOoyen, A.. H-channels affect frequency, power and amplitudefluctuations of neuronal network oscillations. Frontiers inComputational Neuroscience 9:141, 10.3389/fncom.2015.00141, 2015.

Aviner, B., Gradwohl, G., Moore, H. J. and Grossman, Y..Modulation of presynaptic Ca(2+) currents in frog motor nerveterminals by high pressure.. European Journal of Neuroscience38:2716-2729, 10.1111/ejn.12267, 2013.

Azouz, R.. Dynamic spatiotemporal synaptic integration in corticalneurons: neuronal gain, revisited. Journal of Neurophysiology94:2785-2796, 2005.

Azouz, R. and Gray, C. M.. Dynamic spike threshold reveals amechanism for synaptic coincidence detection in cortical neuronsin vivo. Proceedings of the National Academy of Sciences of theUnited States of America 97:8110-8115, 2000.

Azouz, R. and Gray, C. M.. Adaptive coincidence detection anddynamic gain control in visual cortical neurons in vivo. Neuron37:513-523, 2003.

Azouz, R. and Gray, C. M.. Stimulus-selective spiking is driven bythe relative timing of synchronous excitation and disinhibition incat striate neurons in vivo. European Journal of Neuroscience28:1286-1300, 2008.

Baccus, S. A.. Synaptic facilitation by reflected actionpotentials: enhancement of transmission when nerve impulsesreverse direction at axon branch points. Proceedings of theNational Academy of Sciences of the United States of America95:8345-8350, 1998.

Baccus, S. A., Sahley, C. L. and Muller, K. J.. Multiple sites ofaction potential initiation increase neuronal firing rate.Journal of Neurophysiology 86:1226-1236, 2001.

Badoual, M., Rudolph, M., Piwkowska, Z., Destexhe, A. and Bal, T..High discharge variability in neurons driven by current noise.Neurocomputing 65:493-498, 2005.

Badoual, M., Zou, Q., Davison, A. P., Rudolph, M., Bal, T.,Fregnac, Y. and Destexhe, A.. Biophysical and phenomenologicalmodels of multiple spike interactions in spike-timing dependentplasticity. International Journal of Neural Systems 16:79-97,2006.

BagheriMofidi, S. M., Pouladian, M., Jameie, S. B. andTehrani-Fard, A. A.. Computational modeling of neuronal currentMRI signals with rat somatosensory cortical neurons.Interdisciplinary Sciences: Computational Life Sciences8:253-262, 2016a.

BagheriMofidi, S. M., Pouladian, M., Jameie, S. B. andTehrani-Fard, A. A.. Estimation of phase signal change in neuronalcurrent MRI for evoke response of tactile detection with realisticsomatosensory laminar network model. Australasian Physical andEngineering Sciences in Medicine 39:717-726,10.1007/s13246-016-0467-5, 2016b.

Bagnall, M. W., Hull, C., Bushong, E. A., Ellisman, M. H. andScanziani, M.. Multiple clusters of release sites formed byindividual thalamic afferents onto cortical interneurons ensurereliable transmission. Neuron 71:180-194,10.1016/j.neuron.2011.05.032, 2011.

Bahl, A., Stemmler, M. B., Herz, A. V. M. and Roth, A.. Automatedoptimization of a reduced layer 5 pyramidal cell model based onexperimental data. Journal of Neuroscience Methods 210:22-34,10.1016/j.jneumeth.2012.04.006, 2012.

Bahmer, A. and Gupta, D. S.. Role of oscillations in auditorytemporal processing: a general model for temporal processing ofsensory information in the brain?. Frontiers in Neuroscience12:793, 10.3389/fnins.2018.00793, 2018.

Bahmer, A. and Langner, G.. Parameters for a model of anoscillating neuronal network in the cochlear nucleus defined bygenetic algorithms. Biological Cybernetics 102:81-93,10.1007/s00422-009-0353-2, 2010.

Baker, J. L., Perez-Rosello, T., Migliore, M., Barrionuevo, G. andAscoli, G. A.. A computer model of unitary responses fromassociational/commissural and perforant path synapses inhippocampal CA3 pyramidal cells. Journal of ComputationalNeuroscience 31:137-158, 10.1007/s10827-010-0304-x, 2011.

Baker, J. L., Ryou, J.-W., Wei, X. F., Butson, C. R., Schiff, N.D. and Purpura, K. P.. Robust modulation of arousal regulation,performance, and frontostriatal activity through central thalamicdeep brain stimulation in healthy nonhuman primates. Journal ofNeurophysiology 116:2383-2404, 10.1152/jn.01129.2015, 2016.

Balaguer, J.-M. and Capogrosso, M.. A computational model of theinteraction between residual cortico-spinal inputs and spinal cordstimulation after paralysis [Online]. Proceedings of the 10thInternational IEEE/EMBS Conference on Neural Engineering:251-254, 10.1109/NER49283.2021.9441219, 2021.

Balakrishnan, S. and Pearce, R. A.. Midazolam and atropine altertheta oscillations in the hippocampal CA1 region by modulatingboth the somatic and distal dendritic dipoles. Hippocampus24:1212-1231, 10.1002/hipo.22307, 2014.

Balakrishnan, S. and Pearce, R. A.. Spatiotemporal characteristicsand pharmacological modulation of multiple gamma oscillations inthe CA1 region of the hippocampus. Frontiers in Neural Circuits8:150, 10.3389/fncir.2014.00150, 2015.

Balbi, P., Martinoia, S., Colombo, R. and Massobrio, P.. Modellingrecurrent discharge in the spinal α-motoneuron: reappraisal of theF wave. Clinical Neurophysiology 125:427-429,10.1016/j.clinph.2013.09.025, 2014.

Balbi, P., Martinoia, S. and Massobrio, P.. Axon-somaticback-propagation in detailed models of spinal alpha motoneurons.Frontiers in Computational Neuroscience 9:15,10.3389/fncom.2015.00015, 2015.

Balbi, P., Massobrio, P. and Hellgren Kotaleski, J.. A singleMarkov-type kinetic model accounting for the macroscopic currentsof all human voltage-gated sodium channel isoforms. PLoSComputational Biology 13:e1005737, 10.1371/journal.pcbi.1005737,2017.

Ball, J. M., Hummos, A. M. and Nair, S. S.. Role of sensory inputdistribution and intrinsic connectivity in lateral amygdala duringauditory fear conditioning: a computational study. Neuroscience224:249-267, 10.1016/j.neuroscience.2012.08.030, 2012.

Balmer, T. S., Borges-Merjane, C. and Trussell, L. O.. Incompleteremoval of extracellular glutamate controls synaptic transmissionand integration at a cerebellar synapse. eLife1010.7554/eLife.63819, 2021.

Banerjee, A.. On the phase-space dynamics of systems of spikingneurons. I: Model and experiments. Neural Computation13:161-193, 2001.

Banitt, Y., Martin, K. A. C. and Segev, I.. Depressed responses offacilitatory synapses. Journal of Neurophysiology 94:865-870,2005.

Banitt, Y., Martin, K. A. C. and Segev, I.. A biologicallyrealistic model of contrast invariant orientation tuning bythalamocortical synaptic depression. Journal of Neuroscience27:10230-10239, 2007.

Bar Ilan, L., Gidon, A. and Segev, I.. Interregional synapticcompetition in neurons with multiple STDP-inducing signals.Journal of Neurophysiology 105:989-998, 10.1152/jn.00612.2010,2011.

Baranauskas, G., David, Y. and Fleidervish, I. A.. Spatialmismatch between the Na+ flux and spike initiation in axon initialsegment. Proceedings of the National Academy of Sciences of theUnited States of America 110:4051-4056, 10.1073/pnas.1215125110,2013.

Baranauskas, G. and Martina, M.. Sodium currents activate withouta Hodgkin and Huxley-type delay in central mammalian neurons.Journal of Neuroscience 26:671-684, 2006.

Baranauskas, G., Mukovskiy, A., Wolf, F. and Volgushev, M.. Thedeterminants of the onset dynamics of action potentials in acomputational model. Neuroscience 167:1070-1090,10.1016/j.neuroscience.2010.02.072, 2010.

Barbieri, R., Bertelli, S., Pusch, M. and Gavazzo, P.. Late sodiumcurrent blocker GS967 inhibits persistent currents induced byfamilial hemiplegic migraine type 3 mutations of the SCN1A gene.Journal of Headache and Pain 20:107, 10.1186/s10194-019-1056-2,2019.

Barela, A. J., Waddy, S. P., Lickfett, J. G., Hunter, J., Anido,A., Helmers, S. L., Goldin, A. L. and Escayg, A.. An epilepsymutation in the sodium channel SCN1A that decreases channelexcitability. Journal of Neuroscience 26:2714-2723, 2006.

Barkai, O., Butterman, R., Katz, B., Lev, S. and Binshtok, A. M..The input-output relation of primary nociceptive neurons isdetermined by the morphology of the peripheral nociceptiveterminals. Journal of Neuroscience 40:9346-9363,10.1523/JNEUROSCI.1546-20.2020, 2020.

Barkai, O., Goldstein, R. H., Caspi, Y., Katz, B., Lev, S. andBinshtok, A. M.. The role of Kv7/M potassium channels incontrolling ectopic firing in nociceptors. Frontiers in MolecularNeuroscience 10:181, 10.3389/fnmol.2017.00181, 2017.

Barlow, B. M., Joos, B., Trinh, A. K. and Longtin, A.. Coolingreverses pathological bifurcations to spontaneous firing caused bymild traumatic injury. Chaos 28:106328, 10.1063/1.5040288, 2018.

Barriga-Rivera, A., Guo, T., Yang, C.-Y., Abed, A. A., Dokos, S.,Lovell, N. H., Morley, J. W. and Suaning, G. J.. High-amplitudeelectrical stimulation can reduce elicited neuronal activity invisual prosthesis. Scientific Reports 7:42682,10.1038/srep42682, 2017.

Barros-Zulaica, N., Rahmon, J., Chindemi, G., Perin, R., Markram,H., Muller, E. and Ramaswamy, S.. Estimating thereadily-releasable vesicle pool size at synaptic connections inthe neocortex. Frontiers in Synaptic Neuroscience 11:29,10.3389/fnsyn.2019.00029, 2019.

Barry, J. F., Turner, M. J., Schloss, J. M., Glenn, D. R., Song,Y., Lukin, M. D., Park, H. and Walsworth, R. L.. Optical magneticdetection of single-neuron action potentials using quantum defectsin diamond. Proceedings of the National Academy of Sciences ofthe United States of America 113:14133-14138,10.1073/pnas.1601513113, 2016.

Bartos, M., Vida, I., Frotscher, M., Geiger, J. R. P. and Jonas,P.. Rapid signaling at inhibitory synapses in a dentate gyrusinterneuron network. Journal of Neuroscience 21:2687-2698, 2001.

Bartos, M., Vida, I., Frotscher, M., Meyer, A., Monyer, H.,Geiger, J. R. P. and Jonas, P.. Fast synaptic inhibition promotessynchronized gamma oscillations in hippocampal interneuronnetworks. Proceedings of the National Academy of Sciences of theUnited States of America 99:13222-13227, 2002.

Bar-Yehuda, D. and Korngreen, A.. Space-clamp problems whenvoltage clamping neurons expressing voltage-gated conductances.Journal of Neurophysiology 99:1127-1136, 2008.

Basak, R. and Narayanan, R.. Active dendrites regulate thespatiotemporal spread of signaling microdomains. PLoSComputational Biology 14:e1006485, 10.1371/journal.pcbi.1006485,2018a.

Basak, R. and Narayanan, R.. Spatially dispersed synapses yieldsharply-tuned place cell responses through dendritic spikeinitiation. Journal of Physiology 596:4173-4205,10.1113/JP275310, 2018b.

Basak, R. and Narayanan, R.. Robust emergence of sharply tunedplace-cell responses in hippocampal neurons with structural andbiophysical heterogeneities. Brain Structure and Function225:567-590, 10.1007/s00429-019-02018-0, 2020.

Basalyga, G., Gleiser, P. M. and Wennekers, T.. Emergence ofsmall-world structure in networks of spiking neurons through STDPplasticity. Advances in Experimental Medicine and Biology718:33-39, 10.1007/978-1-4614-0164-3_4, 2011.

Basalyga, G., Montemurro, M. A. and Wennekers, T.. Informationcoding in a laminar computational model of cat primary visualcortex. Journal of Computational Neuroscience 34:273-283,10.1007/s10827-012-0420-x, 2013.

Basu, J., Srinivas, K. V., Cheung, S. K., Taniguchi, H., Huang, Z.J. and Siegelbaum, S. A.. A cortico-hippocampal learning ruleshapes inhibitory microcircuit activity to enhance hippocampalinformation flow. Neuron 79:1208-1221,10.1016/j.neuron.2013.07.001, 2013.

Bathellier, B., Margrie, T. W. and Larkum, M. E.. Properties ofpiriform cortex pyramidal cell dendrites: implications forolfactory circuit design. Journal of Neuroscience29:12641-12652, 2009.

Battefeld, A., Popovic, M. A., de Vries, S. I. and Kole, M. H. P..High-frequency microdomain Ca2+ transients and waves during earlymyelin internode remodeling. Cell Reports 26:182-191.e5,10.1016/j.celrep.2018.12.039, 2019.

Battefeld, A., Tran, B. T., Gavrilis, J., Cooper, E. C. and Kole,M. H. P.. Heteromeric Kv7.2/7.3 channels differentially regulateaction potential initiation and conduction in neocorticalmyelinated axons. Journal of Neuroscience 34:3719-3732,10.1523/JNEUROSCI.4206-13.2014, 2014.

Beaulieu-Laroche, L., Brown, N. J., Hansen, M., Toloza, E. H. S.,Sharma, J., Williams, Z. M., Frosch, M. P., Cosgrove, G. R., Cash,S. S. and Harnett, M. T.. Allometric rules for mammalian corticallayer 5 neuron biophysics. Nature 600:274-278,10.1038/s41586-021-04072-3, 2021.

Beaulieu-Laroche, L., Toloza, E. H. S., van der Goes, M.-S.,Lafourcade, M., Barnagian, D., Williams, Z. M., Eskandar, E. N.,Frosch, M. P., Cash, S. S. and Harnett, M. T.. Enhanced dendriticcompartmentalization in human cortical neurons. Cell175:643-651.e14, 10.1016/j.cell.2018.08.045, 2018.

Bédard, C., Béhuret, S., Deleuze, C., Bal, T. and Destexhe, A..Oversampling method to extract excitatory and inhibitoryconductances from single-trial membrane potential recordings.Journal of Neuroscience Methods 210:3-14,10.1016/j.jneumeth.2011.09.010, 2012.

Bédard, C. and Destexhe, A.. A modified cable formalism formodeling neuronal membranes at high frequencies. BiophysicalJournal 94:1133-1143, 2008.

Bédard, C., Kröger, H. and Destexhe, A.. Modeling extracellularfield potentials and the frequency-filtering properties ofextracellular space. Biophysical Journal 86:1829-1842, 2004.

Bédard, C., Rodrigues, S., Roy, N., Contreras, D. and Destexhe,A.. Evidence for frequency-dependent extracellular impedance fromthe transfer function between extracellular and intracellularpotentials. Journal of Computational Neuroscience 29:389-403,10.1007/s10827-010-0250-7, 2010.

Begum, R., Bakiri, Y., Volynski, K. E. and Kullmann, D. M.. Actionpotential broadening in a presynaptic channelopathy. NatureCommunications 7:12102, 10.1038/ncomms12102, 2016.

Behabadi, B. F. and Mel, B. W.. J4 at sweet 16: A new wrinkle?.Neural Computation 19:2865-2870, 2007.

Behabadi, B. F. and Mel, B. W.. Mechanisms underlying subunitindependence in pyramidal neuron dendrites. Proceedings of theNational Academy of Sciences of the United States of America111:498-503, 10.1073/pnas.1217645111, 2014.

Behabadi, B. F., Polsky, A., Jadi, M., Schiller, J. and Mel, B.W.. Location-dependent excitatory synaptic interactions inpyramidal neuron dendrites. PLoS Computational Biology8:e1002599, 10.1371/journal.pcbi.1002599, 2012.

Béhuret, S., Deleuze, C. and Bal, T.. Corticothalamic synapticnoise as a mechanism for selective attention in thalamic neurons.Frontiers in Neural Circuits 9:80, 10.3389/fncir.2015.00080,2015.

Béhuret, S., Deleuze, C., Gomez, L., Frégnac, Y. and Bal, T..Cortically-controlled population stochastic facilitation as aplausible substrate for guiding sensory transfer across thethalamic gateway. PLoS Computational Biology 9:e1003401,10.1371/journal.pcbi.1003401, 2013.

Beining, M., Mongiat, L. A., Schwarzacher, S. W., c*ntz, H. andJedlicka, P.. T2N as a new tool for robust electrophysiologicalmodeling demonstrated for mature and adult-born dentate granulecells. eLife 6:e26517, 10.7554/eLife.26517, 2017.

Bekkers, J. M. and Stevens, C. F.. Cable properties of culturedhippocampal neurons determined from sucrose-evoked miniatureEPSCs. Journal of Neurophysiology 75:1250-1255, 1996.

Bekkouche, B., Shoemaker, P. A., Fabian, J., Rigosi, E.,Wiederman, S. D. and O’Carroll, D. C.. Multicompartmentsimulations of NMDA receptor based facilitation in an insecttarget tracking neuron. In: Artificial Neural Networks andMachine Learning – ICANN 2017. Springer InternationalPublishing, 2017, pp. 397-404.

Bekkouche, B. M. B., Shoemaker, P. A., Fabian, J. M., Rigosi, E.,Wiederman, S. D. and O’Carroll, D. C.. Modeling nonlineardendritic processing of facilitation in a dragonflytarget-tracking neuron. Frontiers in Neural Circuits 15:684872,10.3389/fncir.2021.684872, 2021.

Bekolay, T., Bergstra, J., Hunsberger, E., Dewolf, T., Stewart, T.C., Rasmussen, D., Choo, X., Voelker, A. R. and Eliasmith, C..Nengo: a Python tool for building large-scale functional brainmodels. Frontiers in Neuroinformatics 7:48,10.3389/fninf.2013.00048, 2014.

Bell, A., Mainen, Z. F. and Sejnowski, T. J.. Balancing ofconductances may explain irregularity of cortical spiking[Online]. Proceedings of the Joint Symposium on NeuralComputation, University of California, San Diego and CaliforniaInstitute of Technology 4:1-5, 1994.

Bell, A., Mainen, Z. F. and Sejnowski, T. J.. Technical ReportINC-9502: “Balancing” of conductances may explain irregularity ofcortical spiking. Institute for Neural Computation,10.1.1.50.5668, 1995.

Bellinger, S. C., Miyazawa, G. and Steinmetz, P. N.. Submyelinpotassium accumulation may functionally block subsets of localaxons during deep brain stimulation: a modeling study. Journal ofNeural Engineering 5:263-274, 2008.

Bellinger, S. C., Rho, J. M. and Steinmetz, P. N.. Modeling actionpotential generation during single and dual electrode stimulationof CA3 axons in hippocampal slice. Computers in Biology andMedicine 40:487-497, 10.1016/j.compbiomed.2010.03.003, 2010.

Benke, T. A., Lüthi, A., Palmer, M. J., Wikström, M. A., Anderson,W. W., Isaac, J. T. R. and Collingridge, G. L.. Mathematicalmodelling of non-stationary fluctuation analysis for studyingchannel properties of synaptic AMPA receptors. Journal ofPhysiology 537:407-420, 2001.

Bennett, C. B. and Muschol, M.. Large neurohypophysialvaricosities amplify action potentials: results from numericalsimulations. Endocrinology 150:2829-2836, 2009.

Ben-Shalom, R., Aviv, A., Razon, B. and Korngreen, A.. Optimizingion channel models using a parallel genetic algorithm on graphicalprocessors. Journal of Neuroscience Methods 206:183-194,10.1016/j.jneumeth.2012.02.024, 2012.

Ben-Shalom, R., Keeshen, C. M., Berrios, K. N., An, J. Y.,Sanders, S. J. and Bender, K. J.. Opposing effects on NAV1.2function underlie differences between SCN2A variants observed inindividuals with autism spectrum disorder or infantile seizures.Biological Psychiatry 82:224-232,10.1016/j.biopsych.2017.01.009, 2017.

Ben-Shalom, R., Ladd, A., Artherya, N. S., Cross, C., Kim, K. G.,Sanghevi, H., Korngreen, A., Bouchard, K. E. and Bender, K. J..NeuroGPU: accelerating multi-compartment, biophysically detailedneuron simulations on GPUs. Journal of Neuroscience Methods366:109400, 10.1016/j.jneumeth.2021.109400, 2022.

Ben-Shalom, R., Liberman, G. and Korngreen, A.. Acceleratingcompartmental modeling on a graphical processing unit. Frontiersin Neuroinformatics 7:4, 10.3389/fninf.2013.00004, 2013.

Benucci, A., Verschure, P. F. M. J. and König, P.. Two-statemembrane potential fluctuations driven by weak pairwisecorrelations. Neural Computation 16:2351-2378, 2004.

Benucci, A., Verschure, P. F. M. J. and König, P.. Dynamicalfeatures of higher-order correlation events: impact on corticalcells. Cognitive Neurodynamics 1:53-69, 2007.

Berecki, G., Bryson, A., Terhag, J., Maljevic, S., Gazina, E. V.,Hill, S. L. and Petrou, S.. SCN1A gain of function in earlyinfantile encephalopathy. Annals of Neurology 85:514-525,10.1002/ana.25438, 2019.

Berends, M., Maex, R. and De Schutter, E.. The effect of NMDAreceptors on gain modulation. Neural Computation 17:2531-2547,2005.

Bernander, Ö., Douglas, R. J., Martin, K. A. C. and Koch, C..Synaptic background activity influences spatiotemporal integrationin single pyramidal cells. Proceedings of the National Academy ofSciences of the United States of America 88:11569-11573, 1991.

Bernander, Ö., Koch, C. and Douglas, R. J.. Amplification andlinearization of distal synaptic input to cortical pyramidalneurons. Journal of Neurophysiology 72:2743-2753, 1994.

Bernasconi, C. A., Schindler, K. A., Stoop, R. and Douglas, R..Complex response to periodic inhibition in simple and detailedneuronal models. Neural Computation 11:67-74, 1999.

Berzhanskaya, J., Chernyy, N., Gluckman, B. J., Schiff, S. J. andAscoli, G. A.. Modulation of hippocampal rhythms by subthresholdelectric fields and network topology. Journal of ComputationalNeuroscience 34:369-389, 10.1007/s10827-012-0426-4, 2013.

Bessaih, T., Leresche, N. and Lambert, R. C.. T currentpotentiation increases the occurrence and temporal fidelity ofsynaptically evoked burst firing in sensory thalamic neurons.Proceedings of the National Academy of Sciences of the UnitedStates of America 105:11376-11381, 2008.

Bezaire, M., Raikov, I., Burk, K., Armstrong, C. and Soltesz, I..SimTracker tool and code template to design, manage and analyzeneural network model simulations in parallel NEURON. bioRxiv:081927, 2016a.

Bezaire, M. J., Raikov, I., Burk, K., Vyas, D. and Soltesz, I..Interneuronal mechanisms of hippocampal theta oscillations in afull-scale model of the rodent CA1 circuit. eLife 5:e18566,10.7554/eLife.18566, 2016b.

Bhadra, N. and Kilgore, K. L.. Direct current electricalconduction block of peripheral nerve. IEEE Transactions on NeuralSystems and Rehabilitation Engineering 12:313-324, 2004.

Bhadra, N., Lahowetz, E. A., Foldes, S. T. and Kilgore, K. L..Simulation of high-frequency sinusoidal electrical block ofmammalian myelinated axons. Journal of ComputationalNeuroscience 22:313-326, 2007.

Bhumbra, G. S., Bannatyne, B. A., Watanabe, M., Todd, A. J.,Maxwell, D. J. and Beato, M.. The recurrent case for the Renshawcell. Journal of Neuroscience 34:12919-12932,10.1523/JNEUROSCI.0199-14.2014, 2014.

Bialowas, A., Rama, S., Zbili, M., Marra, V.,Fronzaroli-Molinieres, L., Ankri, N., Carlier, E. and Debanne, D..Analog modulation of spike-evoked transmission in CA3 circuits isdetermined by axonal Kv1.1 channels in a time-dependent manner.European Journal of Neuroscience 41:293-304, 10.1111/ejn.12787,2015.

Bianchi, D., De Michele, P., Marchetti, C., Tirozzi, B., Cuomo,S., Marie, H. and Migliore, M.. Effects of increasingCREB-dependent transcription on the storage and recall processesin a hippocampal CA1 microcircuit. Hippocampus 24:165-177,10.1002/hipo.22212, 2014.

Bianchi, D., Marasco, A., Limongiello, A., Marchetti, C., Marie,H., Tirozzi, B. and Migliore, M.. On the mechanisms underlying thedepolarization block in the spiking dynamics of CA1 pyramidalneurons. Journal of Computational Neuroscience 33:207-225,10.1007/s10827-012-0383-y, 2012.

Bianchi, D., Migliore, R., Vitale, P., Garad, M., Pousinha, P. A.,Marie, H., Lessmann, V. and Migliore, M.. Membrane electricalproperties of mouse hippocampal CA1 pyramidal neurons duringstrong inputs. Biophysical Journal 121:644-657,10.1016/j.bpj.2022.01.002, 2022.

Biane, C., Rückerl, F., Abrahamsson, T., Saint-Cloment, C.,Mariani, J., Shigemoto, R., DiGregorio, D. A., Sherrard, R. M. andCathala, L.. Developmental emergence of two-stage nonlinearsynaptic integration in cerebellar interneurons. eLife1010.7554/eLife.65954, 2021.

Bicknell, B. A. and Häusser, M.. A synaptic learning rule forexploiting nonlinear dendritic computation. Neuron109:4001-4017.e10, 10.1016/j.neuron.2021.09.044, 2021.

Bieda, M. C. and Copenhagen, D. R.. Inhibition is not required forthe production of transient spiking responses from retinalganglion cells. Visual Neuroscience 17:243-254, 2000.

Billeh, Y. N., Cai, B., Gratiy, S. L., Dai, K., Iyer, R., Gouwens,N. W., Abbasi-Asl, R., Jia, X., Siegle, J. H., Olsen, S. R., Koch,C., Mihalas, S. and Arkhipov, A.. Systematic integration ofstructural and functional data into multi-scale models of mouseprimary visual cortex. Neuron 106:388-403.e18,10.1016/j.neuron.2020.01.040, 2020.

Billings, G., Piasini, E., Lorincz, A., Nusser, Z. and Silver, R.A.. Network structure within the cerebellar input layer enableslossless sparse encoding. Neuron 83:960-974,10.1016/j.neuron.2014.07.020, 2014.

Bingham, C. S., Bouteiller, J.-M. C., Song, D. and Berger, T. W..Graph-based models of cortical axons for the prediction ofneuronal response to extracellular electrical stimulation. IEEEEngineering in Medicine and Biology Society. Annual Conference2018:1380-1383, 10.1109/EMBC.2018.8512503, 2018a.

Bingham, C. S., Loizos, K., Yu, G., Gilbert, A., Bouteiller,J.-M., Song, D., Lazzi, G. and Berger, T. W.. A large-scaledetailed neuronal model of electrical stimulation of the dentategyrus and perforant path as a platform for electrode design andoptimization. IEEE Engineering in Medicine and Biology SocietyAnnual Conference 2016:2794-2797, 10.1109/EMBC.2016.7591310,2016.

Bingham, C. S., Loizos, K., Yu, G. J., Gilbert, A., Bouteiller,J.-M. C., Song, D., Lazzi, G. and Berger, T. W.. Model-basedanalysis of electrode placement and pulse amplitude forhippocampal stimulation. IEEE Transactions on Bio-MedicalEngineering 65:2278-2289, 10.1109/TBME.2018.2791860, 2018b.

Bingham, C. S., Mergenthal, A., Bouteiller, J.-M. C., Song, D.,Lazzi, G. and Berger, T. W.. ROOTS: an algorithm to generatebiologically realistic cortical axons and an application toelectroceutical modeling. Frontiers In ComputationalNeuroscience 14:13, 10.3389/fncom.2020.00013, 2020a.

Bingham, C. S., Paknahad, J., Girard, C. B. C., Loizos, K.,Bouteiller, J.-M. C., Song, D., Lazzi, G. and Berger, T. W..Admittance method for estimating local field potentials generatedin a multi-scale neuron model of the hippocampus. Frontiers inComputational Neuroscience 14:72, 10.3389/fncom.2020.00072,2020b.

Birdno, M. J., Cooper, S. E., Rezai, A. R. and Grill, W. M..Pulse-to-pulse changes in the frequency of deep brain stimulationaffect tremor and modeled neuronal activity. Journal ofNeurophysiology 98:1675-1684, 2007.

Birdno, M. J., Kuncel, A. M., Dorval, A. D., Turner, D. A., Gross,R. E. and Grill, W. M.. Stimulus features underlying reducedtremor suppression with temporally patterned deep brainstimulation. Journal of Neurophysiology 107:364-383,10.1152/jn.00906.2010, 2012.

Birdno, M. J., Tang, W., Dostrovsky, J. O., Hutchison, W. D. andGrill, W. M.. Response of human thalamic neurons to high-frequencystimulation. PLoS ONE 9:e96026, 10.1371/journal.pone.0096026,2014.

Biró, Á. A., Brémaud, A., Falck, J. and Ruiz, A. J.. A-type K+channels impede supralinear summation of clustered glutamatergicinputs in layer 3 neocortical pyramidal neurons.Neuropharmacology 140:86-99, 10.1016/j.neuropharm.2018.07.005,2018.

Bittner, K. C., Milstein, A. D., Grienberger, C., Romani, S. andMagee, J. C.. Behavioral time scale synaptic plasticity underliesCA1 place fields. Science 357:1033-1036,10.1126/science.aan3846, 2017.

Blackman, A. V., Grabuschnig, S., Legenstein, R. and Sjöström, P.J.. A comparison of manual neuronal reconstruction from biocytinhistology or 2-photon imaging: morphometry and computer modeling.Frontiers in Neuroanatomy 8:65, 10.3389/fnana.2014.00065, 2014.

Blair, H. T.. A thalamocortical circuit for computing directionalheading in the rat. In: Advances in Neural Information ProcessingSystems, edited by Touretzky, D. S., Mozer, M. C. and Hasselmo,M. E.. Cambridge, MA: Cambridge, MA, MIT Press, 1996, pp. 152-158.

Blank, D. A. and Stoop, R.. Collective bursting in populations ofintrinsically nonbursting neurons. Zeitschrift für NaturforschungA 54:617-627, 1999.

Blank, D. A., Stoop, R., Kern, A. and Douglas, R. J.. Optimalrecurrent excitation amplification in biophysically plausibleneuron models [Online]. Proceedings of the 2nd ICSD Symposium onNeural Computation 2:463-469, 2000.

Bloss, E. B., Cembrowski, M. S., Karsh, B., Colonell, J., Fetter,R. D. and Spruston, N.. Structured dendritic inhibition supportsbranch-selective integration in CA1 pyramidal cells. Neuron89:1016-1030, 10.1016/j.neuron.2016.01.029, 2016.

Bloss, E. B., Cembrowski, M. S., Karsh, B., Colonell, J., Fetter,R. D. and Spruston, N.. Single excitatory axons form clusteredsynapses onto CA1 pyramidal cell dendrites. Nature Neuroscience21:353-363, 10.1038/s41593-018-0084-6, 2018.

Bock, T., Honnuraiah, S. and Stuart, G. J.. Paradoxical excitatoryimpact of SK channels on dendritic excitability. Journal ofNeuroscience 39:7826-7839, 10.1523/JNEUROSCI.0105-19.2019, 2019.

Bock, T., Negrean, A. and Siegelbaum, S. A.. Somaticdepolarization enhances hippocampal Ca1 dendritic spikepropagation and distal input driven synaptic plasticity. Journalof Neuroscience 10.1523/JNEUROSCI.0780-21.2022, 2022.

Bodda, S., Palathingal, R. K., Sankar, V., Nair, B. and Diwakar,S.. Modeling population network activity using LFPsim, spikingneurons and neural mass models [Online]. 2017 InternationalConference on Advances in Computing, Communications andInformatics, 10.1109/icacci.2017.8125898, 2017.

Bogaard, A., Parent, J., Zochowski, M. and Booth, V.. Interactionof cellular and network mechanisms in spatiotemporal patternformation in neuronal networks. Journal of Neuroscience29:1677-1687, 2009.

Bolduan, F., Grosser, S. and Vida, I.. Minimizing shrinkage ofacute brain slices using metal spacers during histologicalembedding. Brain Structure and Function 225:2577-2589,10.1007/s00429-020-02141-3, 2020.

Bonaiuto, J. J., Little, S., Neymotin, S. A., Jones, S. R.,Barnes, G. R. and Bestmann, S.. Laminar dynamics of high amplitudebeta bursts in human motor cortex. NeuroImage 242:118479,10.1016/j.neuroimage.2021.118479, 2021.

Booker, S. A., Gross, A., Althof, D., Shigemoto, R., Bettler, B.,Frotscher, M., Hearing, M., Wickman, K., Watanabe, M., Kulik, Á.and Vida, I.. Differential GABAB-receptor-mediated effects inperisomatic- and dendrite-targeting parvalbumin interneurons.Journal of Neuroscience 33:7961-7974,10.1523/JNEUROSCI.1186-12.2013, 2013.

Booker, S. A., Simões de Oliveira, L., Anstey, N. J., Kozic, Z.,Dando, O. R., Jackson, A. D., Baxter, P. S., Isom, L. L., Sherman,D. L., Hardingham, G. E., Brophy, P. J., Wyllie, D. J. A. andKind, P. C.. Input-output relationship of Ca1 pyramidal neuronsreveals intact homeostatic mechanisms in a mouse model of fragileX syndrome. Cell Reports 32:107988,10.1016/j.celrep.2020.107988, 2020.

Booth, V. and Poe, G. R.. Input source and strength influencesoverall firing phase of model hippocampal CA1 pyramidal cellsduring theta: Relevance to REM sleep reactivation and memoryconsolidation. Hippocampus 16:161-173, 2006.

Borda Bossana, S., Verbist, C. and Giugliano, M.. hom*ogeneous andnarrow bandwidth of spike initiation in rat L1 corticalinterneurons. Frontiers in Cellular Neuroscience 14:118,10.3389/fncel.2020.00118, 2020.

Borel, M., Guadagna, S., Jang, H. J., Kwag, J. and Paulsen, O..Frequency dependence of CA3 spike phase response arising fromh-current properties. Frontiers In Cellular Neuroscience710.3389/fncel.2013.00263, 2013.

Bos, R., Harris-Warrick, R. M., Brocard, C., Demianenko, L. E.,Manuel, M., Zytnicki, D., Korogod, S. M. and Brocard, F.. Kv1.2channels promote nonlinear spiking motoneurons for powering uplocomotion. Cell Reports 22:3315-3327,10.1016/j.celrep.2018.02.093, 2018.

Botta, P., Simões de Souza, F. M., Sangrey, T., De Schutter, E.and Valenzuela, C. F.. Alcohol excites cerebellar Golgi cells byinhibiting the Na+/K+ ATPase. Neuropsychopharmacology35:1984-1996, 10.1038/npp.2010.76, 2010.

Botta, P., Simões de Souza, F. M., Sangrey, T., De Schutter, E.and Valenzuela, C. F.. Excitation of rat cerebellar Golgi cells byethanol: further characterization of the mechanism. Alcoholism,Clinical and Experimental Research 36:616-624,10.1111/j.1530-0277.2011.01658.x, 2012.

Bourbeau, D. J., Hokanson, J. A., Rubin, J. E. and Weber, D. J.. Acomputational model for estimating recruitment of primary afferentfibers by intraneural stimulation in the dorsal root ganglia.Journal of Neural Engineering 8:056009,10.1088/1741-2560/8/5/056009, 2011.

Bouteiller, J.-M. C., Allam, S. L., Hu, E. Y., Greget, R., Ambert,N., Keller, A. F., Bischoff, S., Baudry, M. and Berger, T. W..Integrated multiscale modeling of the nervous system: predictingchanges in hippocampal network activity by a positive AMPAreceptor modulator. IEEE Transactions on Biomedical Engineering58:3008-3011, 10.1109/TBME.2011.2158605, 2011a.

Bouteiller, J.-M. C., Allam, S. L., Hu, E. Y., Greget, R., Ambert,N., Keller, A. F., Pernot, F., Bischoff, S., Baudry, M. andBerger, T. W.. Modeling of the nervous system: from moleculardynamics and synaptic modulation to neuron spiking activity[Online]. IEEE Engineering in Medicine and Biology SocietyProceedings 2011:445-448, 10.1109/IEMBS.2011.6090061, 2011b.

Bouteiller, J.-M. C., Legendre, A., Allam, S. L., Ambert, N., Hu,E. Y., Greget, R., Keller, A. F., Pernot, F., Bischoff, S.,Baudry, M. and Berger, T. W.. Modeling of the nervous system: frommodulation of glutamatergic and gabaergic molecular dynamics toneuron spiking activity [Online]. IEEE Engineering in Medicineand Biology Society Proceedings 2012:6612-6615,10.1109/EMBC.2012.6347510, 2012.

Bower, K. L. and McIntyre, C. C.. Deep brain stimulation ofterminating axons. Brain Stimulation 13:1863-1870,10.1016/j.brs.2020.09.001, 2020.

Braganza, O., Mueller-Komorowska, D., Kelly, T. and Beck, H..Quantitative properties of a feedback circuit predictfrequency-dependent pattern separation. eLife910.7554/eLife.53148, 2020.

Branchereau, P., Cattaert, D., Delpy, A., Allain, A.-E., Martin,E. and Meyrand, P.. Depolarizing GABA/glycine synaptic eventsswitch from excitation to inhibition during frequency increases.Scientific Reports 6:21753, 10.1038/srep21753, 2016.

Branchereau, P., Martin, E., Allain, A.-E., Cazenave, W., Supiot,L., Hodeib, F., Laupénie, A., Dalvi, U., Zhu, H. and Cattaert, D..Relaxation of synaptic inhibitory events as a compensatorymechanism in fetal SOD spinal motor networks. eLife 8:e51402,10.7554/eLife.51402, 2019.

Branco, T., Clark, B. A. and Häusser, M.. Dendritic discriminationof temporal input sequences in cortical neurons. Science329:1671-1675, 10.1126/science.1189664, 2010.

Branco, T. and Häusser, M.. Synaptic integration gradients insingle cortical pyramidal cell dendrites. Neuron 69:885-892,10.1016/j.neuron.2011.02.006, 2011.

Branco, T., Tozer, A., Magnus, C. J., Sugino, K., Tanaka, S., Lee,A. K., Wood, J. N. and Sternson, S. M.. Near-perfect synapticintegration by Na(v)1.7 in hypothalamic neurons regulates bodyweight. Cell 165:1749-1761, 10.1016/j.cell.2016.05.019, 2016.

Bras, H., Lahjouji, F., Korogod, S. M., Kulagina, I. B. and Barbe,A.. Heterogeneous synaptic covering and differential chargetransfer sensitivity among the dendrites of a reconstructedabducens motor neurone: correlations between electron microscopicand compter simulation data. Journal of Neurocytology 32:5-24,2003.

Brecht, M., Roth, A. and Sakmann, B.. Dynamic receptive fields ofreconstructed pyramidal cells in layers 3 and 2 of ratsomatosensory barrel cortex. Journal of Physiology 553:243-265,2003.

Brecht, M. and Sakmann, B.. Dynamic representation of whiskerdeflection by synaptic potentials in spiny stellate and pyramidalcells in the barrels and septa of layer 4 rat somatosensorycortex. Journal of Physiology 543:49-70, 2002.

Breen, B. J., Gerken, W. C. and Butera, R. J.. Hybridintegrate-and-fire model of a bursting neuron. NeuralComputation 15:2843-2862, 2003.

Brennan, E. K., Jedrasiak-Cape, I., Kailasa, S., Rice, S. P.,Sudhakar, S. K. and Ahmed, O. J.. Thalamus and claustrum controlparallel layer 1 circuits in retrosplenial cortex. eLife1010.7554/eLife.62207, 2021.

Brennan, E. K. W., Sudhakar, S. K., Jedrasiak-Cape, I., John, T.T. and Ahmed, O. J.. Hyperexcitable neurons enable precise andpersistent information encoding in the superficial retrosplenialcortex. Cell Reports 30:1598-1612.e8,10.1016/j.celrep.2019.12.093, 2020.

Breton-Provencher, V., Bakhshetyan, K., Hardy, D., Bammann, R. R.,Cavarretta, F., Snapyan, M., Côté, D., Migliore, M. andSaghatelyan, A.. Principal cell activity induces spine relocationof adult-born interneurons in the olfactory bulb. NatureCommunications 7:12659, 10.1038/ncomms12659, 2016.

Brette, R. and Gerstner, W.. Adaptive exponentialintegrate-and-fire model as an effective description of neuronalactivity. Journal of Neurophysiology 94:3637-3642, 2005.

Brette, R., Piwkowska, Z., Monier, C., González, J. F. G.,Frégnac, Y., Bal, T. and Destexhe, A.. Dynamic clamp withhigh-resistance electrodes using active electrode compensation invitro and in vivo. In: Dynamic-Clamp: From Principles toApplications. New York, NY: Springer US, 2009, pp. 347-382.

Brette, R., Piwkowska, Z., Monier, C., Rudolph-Lilith, M.,Fournier, J., Levy, M., Fregnac, Y., Bal, T. and Destexhe, A..High-resolution intracellular recordings using a real-timecomputational model of the electrode. Neuron 59:379-391, 2008.

Brette, R., Piwkowska, Z., Rudolph, M., Bal, T. and Destexhe, A..A non-parametric electrode model for intracellular recording.Neurocomputing 70:1597-1601, 2007a.

Brette, R., Rudolph, M., Carnevale, T., Hines, M., Beeman, D.,Bower, J. M., Diesmann, M., Goodman, P. H., Harris, F. C. J.,Zirpe, M., Natschläger, T., Pecevski, D., Ermentrout, B.,Djurfeldt, M., Lansner, A., Rochel, O., Vieville, T., Muller, E.,Davison, A., El Boustani, S. and Destexhe, A.. Simulation ofnetworks of spiking neurons: a review of tools and strategies.Journal of Computational Neuroscience 23:349-398, 2007b.

Briant, L. J. B., Paton, J. F. R., Pickering, A. E. and Champneys,A. R.. Modelling the vascular response to sympatheticpostganglionic nerve activity. Journal of Theoretical Biology371:102-116, 10.1016/j.jtbi.2015.01.037, 2015.

Briant, L. J. B., Reinbothe, T. M., Spiliotis, I., Miranda, C.,Rodriguez, B. and Rorsman, P.. δ-cells and β-cells areelectrically coupled and regulate α-cell activity viasomatostatin. Journal of Physiology 596:197-215,10.1113/JP274581, 2018.

Briant, L. J. B., Stalbovskiy, A. O., Nolan, M. F., Champneys, A.R. and Pickering, A. E.. Increased intrinsic excitability ofmuscle vasoconstrictor preganglionic neurons may contribute to theelevated sympathetic activity in hypertensive rats. Journal ofNeurophysiology 112:2756-2778, 10.1152/jn.00350.2014, 2014.

Briska, A. M., Uhlrich, D. J. and Lytton, W. W.. Independentdendritic domains in the thalamic circuit. Neurocomputing32:299-305, 2000.

Briska, A. M., Uhlrich, D. J. and Lytton, W. W.. Computer model ofpassive signal integration based on whole-cell in vitro studies ofrat lateral geniculate nucleus. European Journal of Neuroscience17:1531-1541, 2003.

Brody, M. and Korngreen, A.. Simulating the effects of short-termsynaptic plasticity on postsynaptic dynamics in the globuspallidus. Frontiers in Systems Neuroscience 7:40,10.3389/fnsys.2013.00040, 2013.

Broicher, T., Kanyshkova, T., Landgraf, P., Rankovic, V., Meuth,P., Meuth, S. G., Pape, H. C. and Budde, T.. Specific expressionof low-voltage-activated calcium channel isoforms and splicevariants in thalamic local circuit interneurons. Molecular andCellular Neuroscience 36:132-145, 2007a.

Broicher, T., Kanyshkova, T., Meuth, P., Pape, H. C. and Budde,T.. Correlation of T-channel coding gene expression, I-T, and thelow threshold Ca2+ spike in the thalamus of a rat model of absenceepilepsy. Molecular and Cellular Neuroscience 39:384-399, 2008.

Broicher, T., Seidenbecher, T., Meuth, P., Munsch, T., Meuth, S.G., Kanyshkova, T., Pape, H. C. and Budde, T.. T-current relatedeffects of antiepileptic drugs and a Ca2+ channel antagonist onthalamic relay and local circuit interneurons in a rat model ofabsence epilepsy. Neuropharmacology 53:431-446, 2007b.

Broser, P. J., Schulte, R., Lang, S., Roth, A., Helmchen, F.,Waters, J., Sakmann, B. and Wittum, G.. Nonlinear anisotropicdiffusion filtering of three-dimensional image data fromtwo-photon microscopy. Journal of Biomedical Optics 9:1253-1264,2004.

Brown, A. M., Evans, R. D., Smith, P. A., Rich, L. R. and Ransom,B. R.. Hypothermic neuroprotection during reperfusion followingexposure to aglycemia in central white matter is mediated byacidification. Physiological Reports 7:e14007,10.14814/phy2.14007, 2019.

Brown, D., Feng, J. and Feerick, S.. Variability of firing ofHodgkin-Huxley and FitzHugh-Nagumo neurons with stochasticsynaptic input. Physical Review Letters 82:4731-4734, 1999.

Brown, S.-A., Moraru, I. I., Schaff, J. C. and Loew, L. M..Virtual NEURON: a strategy for merged biochemical andelectrophysiological modeling. Journal of ComputationalNeuroscience 31:385-400, 10.1007/s10827-011-0317-0, 2011.

Brown, T. H., Mainen, Z. F., Zador, A. M. and Claiborne, B. J..Self-organization of Hebbian synapses in hippocampal neurons. In:Advances in Neural Information Processing Systems, edited byLippmann, R. P., Moody, J. E. and Touretzky, D. J.. San Mateo, CA:San Mateo, CA, Morgan Kaufmann, 1991a, pp. 39-45.

Brown, T. H., Zador, A. M., Mainen, Z. F. and Claiborne, B. J..Hebbian modifications in hippocampal neurons. In: Long-termpotentiation: A debate of current issues, edited by Davis, J. andBaudry, M.. Cambridge, MA: Cambridge, MA, MIT Press, 1991b, pp.357-389.

Brown, T. H., Zador, A. M., Mainen, Z. F. and Claiborne, B. J..Hebbian computations in hippocampal dendrites and spines. In:Single Neuron Computation, edited by McKenna, T., Davis, J. andZornetzer, S. F.. San Diego: San Diego, Academic Press, 1992, pp.81-116.

Brüderle, D., Petrovici, M. A., Vogginger, B., Ehrlich, M., Pfeil,T., Millner, S., Gruebl, A., Wendt, K., Mueller, E., Schwartz,M.-O., de Oliveira, D. H., Jeltsch, S., Fieres, J., Schilling, M.,Mueller, P., Breitwieser, O., Petkov, V., Muller, L., Davison, A.P., Krishnamurthy, P., Kremkow, J., Lundqvist, M., Muller, E.,Partzsch, J., Scholze, S., Zuehl, L., Mayr, C., Destexhe, A.,Diesmann, M., Potjans, T. C., Lansner, A., Schueffny, R.,Schemmel, J. and Meier, K.. A comprehensive workflow forgeneral-purpose neural modeling with highly configurableneuromorphic hardware systems. Biological Cybernetics104:263-296, 10.1007/s00422-011-0435-9, 2011.

Brunner, J., Ster, J., Van-Weert, S., Andrási, T., Neubrandt, M.,Corti, C., Corsi, M., Ferraguti, F., Gerber, U. and Szabadics, J..Selective silencing of individual dendritic branches by anmGlu2-activated potassium conductance in dentate gyrus granulecells. Journal of Neuroscience 33:7285-7298,10.1523/JNEUROSCI.4537-12.2013, 2013.

Brunner, J. and Szabadics, J.. Analogue modulation ofback-propagating action potentials enables dendritic hybridsignalling. Nature Communications 7:13033, 10.1038/ncomms13033,2016.

Bryman, G. S., Liu, A. and Do, M. T. H.. Optimized signal flowthrough photoreceptors supports the high-acuity vision ofprimates. Neuron 108:335-348.e7, 10.1016/j.neuron.2020.07.035,2020.

Bryson, A., Berkovic, S. F., Petrou, S. and Grayden, D. B.. Statetransitions through inhibitory interneurons in a cortical networkmodel. PLoS Computational Biology 17:e1009521,10.1371/journal.pcbi.1009521, 2021.

Bryson, A., Hatch, R. J., Zandt, B.-J., Rossert, C., Berkovic, S.F., Reid, C. A., Grayden, D. B., Hill, S. L. and Petrou, S..GABA-mediated tonic inhibition differentially modulates gain infunctional subtypes of cortical interneurons. Proceedings of theNational Academy of Sciences 117:3192-3202,10.1073/pnas.1906369117, 2020.

Buccino, A. P. and Einevoll, G. T.. MEArec: a fast andcustomizable testbench simulator for ground-truth extracellularspiking activity. Neuroinformatics 19:185-204,10.1007/s12021-020-09467-7, 2021.

Buccino, A. P., Hagen, E., Einevoll, G. T., Hafliger, P. D. andCauwenbergh, G.. Independent component analysis for fullyautomated multi-electrode array spike sorting. IEEE Engineeringin Medicine and Biology Society. Annual Conference2018:2627-2630, 10.1109/EMBC.2018.8512788, 2018a.

Buccino, A. P., Hurwitz, C. L., Garcia, S., Magland, J., Siegle,J. H., Hurwitz, R. and Hennig, M. H.. SpikeInterface, a unifiedframework for spike sorting. eLife 910.7554/eLife.61834, 2020.

Buccino, A. P., Kordovan, M., Ness, T. V., Merkt, B., Häfliger, P.D., Fyhn, M., Cauwenberghs, G., Rotter, S. and Einevoll, G. T..Combining biophysical modeling and deep learning formultielectrode array neuron localization and classification.Journal of Neurophysiology 120:1212-1232, 10.1152/jn.00210.2018,2018b.

Buccino, A. P., Kuchta, M., Jæger, K. H., Ness, T. V., Berthet,P., Mardal, K.-A., Cauwenberghs, G. and Tveito, A.. How does thepresence of neural probes affect extracellular potentials?.Journal of Neural Engineering 16:026030,10.1088/1741-2552/ab03a1, 2019.

Buccino, A. P., Ness, T. V., Einevoll, G. T., Cauwenberghs, G. andHafliger, P. D.. Localizing neuronal somata from multi-electrodearray in-vivo recordings using deep learning. IEEE Engineering inMedicine and Biology Society. Annual Conference 2017:974-977,10.1109/EMBC.2017.8036988, 2017.

Buccino, A. P., Ness, T. V., Einevoll, G. T., Cauwenberghs, G. andHafliger, P. D.. A deep learning approach for the classificationof neuronal cell types. IEEE Engineering in Medicine and BiologySociety. Annual Conference 2018:999-1002,10.1109/EMBC.2018.8512498, 2018c.

Buckingham, S. D. and Spencer, A. N.. Role of high-voltageactivated potassium currents in high-frequency neuronal firing:evidence from a basal metazoan. Journal of Neurophysiology88:861-868, 2002.

Buckingham, S. D. and Ali, D. W.. Computer simulations ofhigh-pass filtering in zebrafish larval muscle fibres. Journal ofExperimental Biology 208:3055-3063, 2005.

Bucurenciu, I., Kulik, A., Schwaller, B., Frotscher, M. and Jonas,P.. Nanodomain coupling between Ca2+ channels and Ca2+ sensorspromotes fast and efficient transmitter release at a corticalGABAergic synapse. Neuron 57:536-545,10.1016/j.neuron.2007.12.026, 2008.

Budak, M., Grosh, K., Sasmal, A., Corfas, G., Zochowski, M. andBooth, V.. Contrasting mechanisms for hidden hearing loss:synaptopathy vs myelin defects. PLoS Computational Biology17:e1008499, 10.1371/journal.pcbi.1008499, 2021.

Budd, J. M. L.. Theta oscillations by synaptic excitation in aneocortical circuit model. Proceedings of the Royal Society B:Biological Sciences 272:101-109, 2005.

Budde, T., Coulon, P., Pawlowski, M., Meuth, P., Kanyshkova, T.,Japes, A., Meuth, S. G. and Pape, H. C.. Reciprocal modulation ofI-h and I-TASK in thalamocortical relay neurons by halothane.Pflügers Archiv-European Journal of Physiology 456:1061-1073,2008.

Buonomano, D. V.. Decoding temporal information: a model based onshort-term synaptic plasticity. Journal of Neuroscience20:1129-1141, 2000.

Buonomano, D. V.. A learning rule for the emergence of stabledynamics and timing in recurrent networks. Journal ofNeurophysiology 94:2275-2283, 2005.

Burton, S. D. and Urban, N. N.. Rapid feedforward inhibition andasynchronous excitation regulate granule cell activity in themammalian main olfactory bulb. Journal of Neuroscience35:14103-14122, 10.1523/JNEUROSCI.0746-15.2015, 2015.

Bús, B., Antal, K. and Emri, Z.. Intrathalamic connections shapespindle activity - a modelling study. Acta Biologica Hungarica69:16-28, 10.1556/018.68.2018.1.2, 2018.

Bush, P. and Priebe, N.. GABAergic inhibitory control of thetransient and sustained components of orientation selectivity in amodel microcolumn in layer 4 of cat visual cortex. NeuralComputation 10:855-867, 1998.

Bush, P. C., Prince, D. A. and Miller, K. D.. Increased pyramidalexcitability and NMDA conductance can explain posttraumaticepileptogenesis without disinhibition: a model. Journal ofNeurophysiology 82:1748-1758, 1999.

Bush, P. C. and Sejnowski, T. J.. Reduced compartmental models ofneocortical pyramidal cells. Journal of Neuroscience Methods46:159-166, 1993.

Bush, P. C. and Sejnowski, T. J.. Effects of inhibition anddendritic saturation in simulated neocortical pyramidal cells.Journal of Neurophysiology 71:2183-2193, 1994.

Bush, P. and Sejnowski, T.. Inhibition synchronizes sparselyconnected cortical neurons within and between columns in realisticnetwork models. Journal of Computational Neuroscience 3:91-110,1996.

Butenko, K., Bahls, C., Schröder, M., Köhling, R. and van Rienen,U.. OSS-DBS: open-source simulation platform for deep brainstimulation with a comprehensive automated modeling. PLoSComputational Biology 16:e1008023, 10.1371/journal.pcbi.1008023,2020.

Butson, C. R., Maks, C. B. and McIntyre, C. C.. Sources andeffects of electrode impedance during deep brain stimulation.Clinical Neurophysiology 117:447-454, 2006.

Butson, C. R. and McIntyre, C. C.. Role of electrode design on thevolume of tissue activated during deep brain stimulation. Journalof Neural Engineering 3:1-8, 2006.

Butson, C. R., Cooper, S. E., Henderson, J. M. and McIntyre, C.C.. Patient-specific analysis of the volume of tissue activatedduring deep brain stimulation. Neuroimage 34:661-670, 2007.

Butson, C. R. and McIntyre, C. C.. Tissue and electrodecapacitance reduce neural activation volumes during deep brainstimulation. Clinical Neurophysiology 116:2490-2500, 2005.

Butson, C. R. and McIntyre, C. C.. Differences among implantedpulse generator waveforms cause variations in the neural responseto deep brain stimulation. Clinical Neurophysiology118:1889-1894, 2007.

Butson, C. R. and McIntyre, C. C.. Current steering to control thevolume of tissue activated during deep brain stimulation. BrainStimulation 1:7-14, 2008.

Butson, C. R., Miller, I. O., Normann, R. A. and Clark, G. A..Selective neural activation in a histologically derived model ofperipheral nerve. Journal of Neural Engineering 8:036009,10.1088/1741-2560/8/3/036009, 2011.

Byczkowicz, N., Eshra, A., Montanaro, J., Trevisiol, A.,Hirrlinger, J., Kole, M. H., Shigemoto, R. and Hallermann, S.. HCNchannel-mediated neuromodulation can control action potentialvelocity and fidelity in central axons. eLife 8:e42766,10.7554/eLife.42766, 2019.

Bywalez, W. G., Patirniche, D., Rupprecht, V., Stemmler, M., Herz,A. V. M., Pálfi, D., Rózsa, B. and Egger, V.. Local postsynapticvoltage-gated sodium channel activation in dendritic spines ofolfactory bulb granule cells. Neuron 85:590-601,10.1016/j.neuron.2014.12.051, 2015.

Cagnan, H., Meijer, H. G. E., van Gils, S. A., Krupa, M., Heida,T., Rudolph, M., Wadman, W. J. and Martens, H. C. F..Frequency-selectivity of a thalamocortical relay neuron duringParkinson’s disease and deep brain stimulation: a computationalstudy. European Journal of Neuroscience 30:1306-1317,10.1111/j.1460-9568.2009.06922.x, 2009.

Cakir, A., Noble, J. H. and Labadie, R. F.. Auditory nerve fibersegmentation methods for neural activation modeling [Online].Medical Imaging 2019: Image-Guided Procedures, RoboticInterventions, and Modeling, 10.1117/12.2513006, 2019.

Cali, C., Berger, T. K., Pignatelli, M., Carleton, A., Markram, H.and Giugliano, M.. Inferring connection proximity in networks ofelectrically coupled cells by subthreshold frequency responseanalysis. Journal of Computational Neuroscience 24:330-345,2008.

Calin-Jageman, R. J. and Katz, P. S.. A distributed computing toolfor generating neural simulation databases. Neural Computation18:2923-2927, 2006.

Calin-Jageman, R. J., Tunstall, M. J., Mensh, B. D., Katz, P. S.and Frost, W. N.. Parameter space analysis suggests multi-siteplasticity contributes to motor pattern initiation in Tritonia.Journal of Neurophysiology 98:2382-2398, 2007.

Callaway, J. C., Lasser-Ross, N., Stuart, A. E. and Ross, W. N..Dynamics of intracellular free calcium-concentration in thepresynaptic arbors of individual barnacle photoreceptors. Journalof Neuroscience 13:1157-1166, 1993.

Cameron, D. A., Vafai, H. and White, J. A.. Analysis of dendriticarbors of native and regenerated ganglion cells in the goldfishretina. Visual Neuroscience 16:253-261, 1999.

Camiré, O., Lazarevich, I., Gilbert, T. and Topolnik, L..Mechanisms of supralinear calcium integration in dendrites ofhippocampal ca1 fast-spiking cells. Frontiers in SynapticNeuroscience 10:47, 10.3389/fnsyn.2018.00047, 2018.

Camuñas-Mesa, L. A. and Quiroga, R. Q.. A detailed and fast modelof extracellular recordings. Neural Computation 25:1191-1212,10.1162/NECO_a_00433, 2013.

Canakci, S., Toy, M. F., Inci, A. F., Liu, X. and Kuzum, D..Computational analysis of network activity and spatial reach ofsharp wave-ripples. PLoS ONE 12:e0184542,10.1371/journal.pone.0184542, 2017.

Canavier, C. C.. Sodium dynamics underlying burst firing andputative mechanisms for the regulation of the firing pattern inmidbrain dopamine neurons: a computational approach. Journal ofComputational Neuroscience 6:49-69, 1999.

Cannon, R. C., O’Donnell, C. and Nolan, M. F.. Stochastic ionchannel gating in dendritic neurons: morphology dependence andprobabilistic synaptic activation of dendritic spikes. PLoSComputational Biology 6:e1000886, 10.1371/journal.pcbi.1000886,2010.

Cao, X., Sui, X., Lyu, Q., Li, L. and Chai, X.. Effects ofdifferent three-dimensional electrodes on epiretinal electricalstimulation by modeling analysis. Journal of NeuroEngineering andRehabilitation 12:73, 10.1186/s12984-015-0065-x, 2015.

Capllonch-Juan, M., Koelbl, F. and Sepulveda, F.. Optimisation ofthe spatial discretisation of myelinated axon models [Online].2016 8th Computer Science and Electronic Engineering,10.1109/ceec.2016.7835916, 2016.

Capllonch-Juan, M., Kolbl, F. and Sepulveda, F.. Unidirectionalephaptic stimulation between two myelinated axons [Online]. 201739th Annual International Conference of the IEEE Engineering inMedicine and Biology Society, 10.1109/embc.2017.8036804, 2017.

Capllonch-Juan, M. and Sepulveda, F.. Conduction velocity effectsdue to ephaptic interactions between myelinated axons. In: EMBEC& NBC 2017, edited by Eskola, H., Väisänen, O., Viik, J. andHyttinen, J.. Springer Singapore, 2017, pp. 659-662.

Capllonch-Juan, M. and Sepulveda, F.. Evaluation of a resistornetwork for solving electrical problems on ohmic media [Online].2019 11th Computer Science and Electronic Engineering (CEEC),10.1109/ceec47804.2019.8974323, 2019.

Capllonch-Juan, M. and Sepulveda, F.. Modelling the effects ofephaptic coupling on selectivity and response patterns duringartificial stimulation of peripheral nerves. PLoS ComputationalBiology 16:e1007826, 10.1371/journal.pcbi.1007826, 2020.

Capogrosso, M., Gandar, J., Greiner, N., Moraud, E. M., Wenger,N., Shkorbatova, P., Musienko, P., Minev, I., Lacour, S. andCourtine, G.. Advantages of soft subdural implants for thedelivery of electrochemical neuromodulation therapies to thespinal cord. Journal of Neural Engineering 15:026024,10.1088/1741-2552/aaa87a, 2018.

Capogrosso, M., Wenger, N., Raspopovic, S., Musienko, P.,Beauparlant, J., Bassi Luciani, L., Courtine, G. and Micera, S.. Acomputational model for epidural electrical stimulation of spinalsensorimotor circuits. Journal of Neuroscience 33:19326-19340,10.1523/JNEUROSCI.1688-13.2013, 2013.

Capurro, A., Diambra, L. and Malta, C. P.. Model for the heartbeat-to-beat time series during meditation. Physica A-StatisticalMechanics and its Applications 327:168-173, 2003.

Carbunaru, R. and Durand, D. M.. Axonal stimulation under MRImagnetic field z gradients: a modeling study. Magnetic Resonancein Medicine 38:750-758, 1997.

Carlin, K. P., Jones, K. E., Jiang, Z., Jordan, L. M. andBrownstone, R. M.. Dendritic L-type calcium currents in mousespinal motoneurons: implications for bistability. EuropeanJournal of Neuroscience 12:1635-1646, 2000.

Carlin, K. P., Bui, T. V., Dai, Y. and Brownstone, R. M..Staircase currents in motoneurons: insight into the spatialarrangement of calcium channels in the dendritic tree. Journal ofNeuroscience 29:5343-5353, 10.1523/JNEUROSCI.5458-08.2009, 2009.

Carnevale, N. T. and Hines, M. L.. A functional basis for choosingcompartment size in neuronal models [Online]. Society forNeuroscience Abstracts 31, 2001.

Carnevale, N. T. and Hines, M. L.. The NEURON Book. Cambridge,UK: address, Cambridge University Press, 2006.

Carnevale, N. T., Tsai, K. Y., Claiborne, B. J. and Brown, T. H..Qualitative electrotonic comparison of three classes ofhippocampal neurons in the rat [Online]. The Neurobiology ofComputation: Proceedings of the Third Annual Computation andNeural Systems Conference 3:67-72, 1995a.

Carnevale, N. T., Tsai, K. Y., Claiborne, B. J. and Brown, T. H..The electrotonic transformation: a tool for relating neuronal formto function. In: Advances in Neural Information ProcessingSystems, edited by Tesauro, G., Touretzky, D. S. and Leen, T. K..Cambridge, MA: Cambridge, MA, MIT Press, 1995b, pp. 69-76.

Carnevale, N. T., Tsai, K. Y., Claiborne, B. J. and Brown, T. H..Comparative electrotonic analysis of three classes of rathippocampal neurons. Journal of Neurophysiology 78:703-720,1997.

Carnevale, N. T., Tsai, K. Y. and Hines, M. L.. The ElectrotonicWorkbench [Online]. Society for Neuroscience Abstracts 22:1741,1996.

Carr, D. B., Day, M., Cantrell, A. R., Held, J., Scheuer, T.,Catterall, W. A. and Surmeier, D. J.. Transmitter modulation ofslow, activity-dependent alterations in sodium channelavailability endows neurons with a novel form of cellularplasticity. Neuron 39:793-806, 2003.

Carrillo, R. R., Ros, E., Tolu, S., Nieus, T. and D’Angelo, E..Event-driven simulation of cerebellar granule cells. Biosystems94:10-17, 2008.

Cartmell, S. C., Tian, Q., Thio, B. J., Leuze, C., Ye, L.,Williams, N. R., Yang, G., Ben-Dor, G., Deisseroth, K., Grill, W.M., McNab, J. A. and Halpern, C. H.. Multimodal characterizationof the human nucleus accumbens. NeuroImage 198:137-149,10.1016/j.neuroimage.2019.05.019, 2019.

Carvalho, T. P. and Buonomano, D. V.. Differential effects ofexcitatory and inhibitory plasticity on synaptically drivenneuronal input-output functions. Neuron 61:774-785, 2009.

Casale, A. E. and McCormick, D. A.. Active action potentialpropagation but not initiation in thalamic interneuron dendrites.Journal of Neuroscience 31:18289-18302,10.1523/JNEUROSCI.4417-11.2011, 2011.

Casaleggio, A., Hines, M. L. and Migliore, M.. Computational modelof erratic arrhythmias in a cardiac cell network: the role of gapjunctions. PLoS ONE 9:e100288, 10.1371/journal.pone.0100288,2014.

Casali, S., Marenzi, E., Medini, C., Casellato, C. and D’Angelo,E.. Reconstruction and simulation of a scaffold model of thecerebellar network. Frontiers In Neuroinformatics 13:37,10.3389/fninf.2019.00037, 2019.

Casali, S., Tognolina, M., Gandolfi, D., Mapelli, J. and D’Angelo,E.. Cellular-resolution mapping uncovers spatial adaptivefiltering at the rat cerebellum input stage. CommunicationsBiology 3:635, 10.1038/s42003-020-01360-y, 2020.

Cases, M., Llobet, A., Terni, B., Gómez de Aranda, I., Blanch, M.,Doohan, B., Revill, A., Brown, A. M., Blasi, J. and Solsona, C..Acute effect of pore-forming Clostridium perfringens ε-toxin oncompound action potentials of optic nerve of mouse. eNeuro4:ENEURO.0051-17.2017, 10.1523/ENEURO.0051-17.2017, 2017.

Cassara, A. M., Hagberg, G. E., Bianciardi, M., Migliore, M. andMaraviglia, B.. Realistic simulations of neuronal activity: acontribution to the debate on direct detection of neuronalcurrents by MRI. Neuroimage 39:87-106, 2008.

Cassara, A. M. and Maraviglia, B.. Microscopic investigation ofthe resonant mechanism for the implementation of nc-MRI atultra-low field MRI. Neuroimage 41:1228-1241, 2008.

Castelfranco, A. M. and Hartline, D. K.. Simulations ofspace-clamp errors in estimating parameters of voltage-gatedconductances localized at different electrotonic distances.Neurocomputing 44:75-80, 2002.

Castelfranco, A. M. and Hartline, D. K.. Corrections forspace-clamp errors in measured parameters of voltage-dependentconductances in a cylindrical neurite. Biological Cybernetics90:280-290, 2004.

Castelfranco, A. M. and Hartline, D. K.. The evolution ofvertebrate and invertebrate myelin: a theoretical computationalstudy. Journal of Computational Neuroscience 38:521-538,10.1007/s10827-015-0552-x, 2015.

Cataldi, M., Lariccia, V., Marzaioli, V., Cavaccini, A., Curia,G., Viggiano, D., Canzoniero, L. M. T., di Renzo, G., Avoli, M.and Annunziato, L.. Zn2+ slows down Ca(V)3.3 gating kinetics:Implications for thalamocortical activity. Journal ofNeurophysiology 98:2274-2284, 2007.

Cathala, L., Brickley, S., Cull-Candy, S. and Farrant, M..Maturation of EPSCs and intrinsic membrane properties enhancesprecision at a cerebellar synapse. Journal of Neuroscience23:6074-6085, 2003.

Cattani, A., Solinas, S. and Canuto, C.. A hybrid model for thecomputationally-efficient simulation of the cerebellar granularlayer. Frontiers in Computational Neuroscience 10:30,10.3389/fncom.2016.00030, 2016.

Cauller, L. J. and Connors, B. W.. Functions of very distaldendrites: experimental and computational studies of layer Isynapses on neocortical pyramidal cells. In: Single NeuronComputation, edited by McKenna, T., Davis, J. and Zornetzer, S.F.. San Diego: San Diego, Academic Press, 1992, pp. 199-229.

Cauller, L. J. and Connors, B. W.. Synaptic physiology ofhorizontal afferents to layer I in slices of rat SI neocortex.Journal of Neuroscience 14:751-762, 1994.

Cavarretta, F., Burton, S. D., Igarashi, K. M., Shepherd, G. M.,Hines, M. L. and Migliore, M.. Parallel odor processing by mitraland middle tufted cells in the olfactory bulb. ScientificReports 8:7625, 10.1038/s41598-018-25740-x, 2018.

Cavarretta, F., Carnevale, N. T., Tegolo, D. and Migliore, M..Effects of low frequency electric fields on synaptic integrationin hippocampal CA1 pyramidal neurons: implications for power lineemissions. Frontiers in Cellular Neuroscience 8:310,10.3389/fncel.2014.00310, 2014.

Cavarretta, F., Marasco, A., Hines, M. L., Shepherd, G. M. andMigliore, M.. Glomerular and mitral-granule cell microcircuitscoordinate temporal and spatial information processing in theolfactory bulb. Frontiers in Computational Neuroscience 10:67,10.3389/fncom.2016.00067, 2016.

Cazade, M., Bidaud, I., Lory, P. and Chemin, J..Activity-dependent regulation of T-type calcium channels bysubmembrane calcium ions. eLife 6:e22331, 10.7554/eLife.22331,2017.

Cazé, R. D., Humphries, M. and Gutkin, B.. Passive dendritesenable single neurons to compute linearly non-separable functions.PLoS Computational Biology 9:e1002867,10.1371/journal.pcbi.1002867, 2013.

Cazé, R. D., Jarvis, S., Foust, A. J. and Schultz, S. R..Dendrites enable a robust mechanism for neuronal stimulusselectivity. Neural Computation 29:2511-2527,10.1162/NECO_a_00989, 2017.

Ceballos, C. C., Li, S., Roque, A. C., Tzounopoulos, T. and Leão,R. M.. Ih equalizes membrane input resistance in a heterogeneouspopulation of fusiform neurons in the dorsal cochlear nucleus.Frontiers in Cellular Neuroscience 10:249,10.3389/fncel.2016.00249, 2016.

Ceballos, C. C., Pena, R. F. O. and Roque, A. C.. Impact of theactivation rate of the hyperpolarization-activated current Ih onthe neuronal membrane time constant and synaptic potentialduration. European Physical Journal Special Topics10.1140/epjs/s11734-021-00176-z, 2021.

Ceballos, C. C., Roque, A. C. and Leão, R. M.. A negative slopeconductance of the persistent sodium current prolongs subthresholddepolarizations. Biophysical Journal 113:2207-2217,10.1016/j.bpj.2017.06.047, 2017.

Cellot, G., Maggi, L., Di Castro, M. A., Catalano, M., Migliore,R., Migliore, M., Scattoni, M. L., Calamandrei, G. and Cherubini,E.. Premature changes in neuronal excitability account forhippocampal network impairment and autistic-like behavior inneonatal BTBR T+tf/J mice. Scientific Reports 6:31696,10.1038/srep31696, 2016.

Cembrowski, M. S., Logan, S. M., Tian, M., Jia, L., Li, W., Kath,W. L., Riecke, H. and Singer, J. H.. The mechanisms of repetitivespike generation in an axonless retinal interneuron. CellReports 1:155-166, 10.1016/j.celrep.2011.12.006, 2012.

Cercós, M. G., De-Miguel, F. F. and Trueta, C.. Real-timemeasurements of synaptic autoinhibition produced by serotoninrelease in cultured leech neurons. Journal of Neurophysiology102:1075-1085, 2009.

Cerina, M., Szkudlarek, H. J., Coulon, P., Meuth, P., Kanyshkova,T., Nguyen, X. V., Göbel, K., Seidenbecher, T., Meuth, S. G.,Pape, H.-C. and Budde, T.. Thalamic Kv 7 channels: pharmacologicalproperties and activity control during noxious signal processing.British Journal of Pharmacology 172:3126-3140,10.1111/bph.13113, 2015.

Cestèle, S., Labate, A., Rusconi, R., Tarantino, P., Mumoli, L.,Franceschetti, S., Annesi, G., Mantegazza, M. and Gambardella, A..Divergent effects of the T1174S SCN1A mutation associated withseizures and hemiplegic migraine. Epilepsia 54:927-935,10.1111/epi.12123, 2013a.

Cestèle, S., Schiavon, E., Rusconi, R., Franceschetti, S. andMantegazza, M.. Nonfunctional NaV1.1 familial hemiplegic migrainemutant transformed into gain of function by partial rescue offolding defects. Proceedings of the National Academy of Sciencesof the United States of America 110:17546-17551,10.1073/pnas.1309827110, 2013b.

Chadderdon, G. L., Mohan, A., Suter, B. A., Neymotin, S. A., Kerr,C. C., Francis, J. T., Shepherd, G. M. G. and Lytton, W. W.. Motorcortex microcircuit simulation based on brain activity mapping.Neural Computation 26:1239-1262, 10.1162/NECO_a_00602, 2014.

Chadderdon, G. L., Neymotin, S. A., Kerr, C. C. and Lytton, W. W..Reinforcement learning of targeted movement in a spiking neuronalmodel of motor cortex. PLoS ONE 7:e47251,10.1371/journal.pone.0047251, 2012.

Chakraborty, D., Truong, D. Q., Bikson, M. and Kaphzan, H..Neuromodulation of axon terminals. Cerebral Cortex 28:2786-2794,10.1093/cercor/bhx158, 2018.

Chambers, J. D., Bethwaite, B., Diamond, N. T., Peachey, T.,Abramson, D., Petrou, S. and Thomas, E. A.. Parametric computationpredicts a multiplicative interaction between synaptic strengthparameters that control gamma oscillations. Frontiers inComputational Neuroscience 6:53, 10.3389/fncom.2012.00053, 2012.

Chambers, J. D., Bornstein, J. C., Gwynne, R. M., Koussoulas, K.and Thomas, E. A.. A detailed, conductance-based computer model ofintrinsic sensory neurons of the gastrointestinal tract. AmericanJournal of Physiology. Gastrointestinal and Liver Physiology307:G517-G532, 10.1152/ajpgi.00228.2013, 2014.

Chan, C. S., Guzman, J. N., Ilijic, E., Mercer, J. N., Rick, C.,Tkatch, T., Meredith, G. E. and Surmeier, D. J.. ‘Rejuvenation’protects neurons in mouse models of Parkinson’s disease. Nature447:1081-1086, 2007.

Chan, C. S., Shigemoto, R., Mercer, J. N. and Surmeier, D. J..HCN2 and HCN1 channels govern the regularity of autonomouspacemaking and synaptic resetting in globus pallidus neurons.Journal of Neuroscience 24:9921-9932, 2004.

Chan, C.-F., Kuo, T.-W., Weng, J.-Y., Lin, Y.-C., Chen, T.-Y.,Cheng, J.-K. and Lien, C.-C.. Ba2+- and bupivacaine-sensitivebackground K+ conductances mediate rapid EPSP attenuation inoligodendrocyte precursor cells. Journal of Physiology591:4843-4858, 10.1113/jphysiol.2013.257113, 2013.

Chan, D. D. and Krauthamer, V.. Effects of high-rate stimulationin modeled axons and role of calculation time step interval onsimulations. International Journal of Medical Implants andDevices 2:92-99, 2007.

Chang, J. T. and Higley, M. J.. Potassium channels contribute toactivity-dependent regulation of dendritic inhibition.Physiological Reports 6:e13747, 10.14814/phy2.13747, 2018.

Chaturvedi, A., Butson, C. R., Lempka, S. F., Cooper, S. E. andMcIntyre, C. C.. Patient-specific models of deep brainstimulation: influence of field model complexity on neuralactivation predictions. Brain Stimulation 3:65-67,10.1016/j.brs.2010.01.003, 2010.

Chaturvedi, A., Foutz, T. J. and McIntyre, C. C.. Current steeringto activate targeted neural pathways during deep brain stimulationof the subthalamic region. Brain Stimulation 5:369-377,10.1016/j.brs.2011.05.002, 2012.

Chaturvedi, A., Lujan, J. L. and McIntyre, C. C.. Artificialneural network based characterization of the volume of tissueactivated during deep brain stimulation. Journal of NeuralEngineering 10:056023, 10.1088/1741-2560/10/5/056023, 2013.

Chatzikalymniou, A. P., Gumus, M. and Skinner, F. K.. Linkingminimal and detailed models of CA1 microcircuits reveals how thetarhythms emerge and their frequencies controlled. Hippocampus31:982-1002, 10.1002/hipo.23364, 2021.

Chatzikalymniou, A. P. and Skinner, F. K.. Deciphering thecontribution of oriens-lacunosum/moleculare (olm) cells tointrinsic θ rhythms using biophysical local field potential (LFP)models. eNeuro 510.1523/ENEURO.0146-18.2018, 2018.

Chemin, J., Monteil, A., Bourinet, E., Nargeot, J. and Lory, P..Alternatively spliced a1G(CaV3.1) intracellular loops promotespecific T-type Ca2+ channel gating properties. BiophysicalJournal 80:1238-1250, 2001a.

Chemin, J., Monteil, A., Perez-Reyes, E., Bourinet, E., Nargeot,J. and Lory, P.. Specific contribution of human T-type calciumchannel isotypes (alpha(1G), alpha(1H) and alpha(1I)) to neuronalexcitability. Journal of Physiology 540:3-14, 2002.

Chemin, J., Monteil, A., Perez-Reyes, E., Nargeot, J. and Lory,P.. Direct inhibition of T-type calcium channels by the endogenouscannabinoid anandamide. EMBO Journal 20:7033-7040, 2001b.

Chemin, J., Siquier-Pernet, K., Nicouleau, M., Barcia, G., Ahmad,A., Medina-Cano, D., Hanein, S., Altin, N., Hubert, L.,Bole-Feysot, C., Fourage, C., Nitschké, P., Thevenon, J., Rio, M.,Blanc, P., Vidal, C., Bahi-Buisson, N., Desguerre, I., Munnich,A., Lyonnet, S., Boddaert, N., Fassi, E., Shinawi, M., Zimmerman,H., Amiel, J., Faivre, L., Colleaux, L., Lory, P. and Cantagrel,V.. De novo mutation screening in childhood-onset cerebellaratrophy identifies gain-of-function mutations in the CACNA1Gcalcium channel gene. Brain 141:1998-2013, 10.1093/brain/awy145,2018.

Chemla, S. and Chavane, F.. A biophysical cortical column model tostudy the multi-component origin of the VSDI signal. Neuroimage53:420-438, 10.1016/j.neuroimage.2010.06.026, 2010.

Chemla, S. and Chavane, F.. Effects of GABAA kinetics on corticalpopulation activity: computational studies and physiologicalconfirmations. Journal of Neurophysiology 115:2867-2879,10.1152/jn.00352.2015, 2016.

Chen, E., Stiefel, K. M., Sejnowski, T. J. and Bullock, T. H..Model of traveling waves in a coral nerve network. Journal ofComparative Physiology. A, Neuroethology, Sensory, Neural, andBehavioral Physiology 194:195-200, 2008.

Chen, J.-Y.. A simulation study investigating the impact ofdendritic morphology and synaptic topology on neuronal firingpatterns. Neural Computation 22:1086-1111,10.1162/neco.2009.11-08-913, 2010.

Chen, K., Aradi, I., Thon, N., Eghbal-Ahmadi, M., Baram, T. Z. andSoltesz, I.. Persistently modified h-channels after complexfebrile seizures convert the seizure-induced enhancement ofinhibition to hyperexcitability. Nature Medicine 7:331-337,2001a.

Chen, K., Jiang, Y., Wu, Z., Zheng, N., Wang, H. and Hong, H..HTsort: Enabling Fast and Accurate Spike Sorting onMulti-Electrode Arrays.. Frontiers in computational neuroscience15:657151, 10.3389/fncom.2021.657151, 2021.

Chen, N. S., Li, B., Murphy, T. H. and Raymond, L. A.. Site withinN-methyl-D-aspartate receptor pore modulates channel gating.Molecular Pharmacology 65:157-164, 2004.

Chen, N. S., Ren, J. H., Raymond, L. A. and Murphy, T. H.. Changesin agonist concentration dependence that are a function ofduration of exposure suggest N-methyl-D-aspartate receptornonsaturation during synaptic stimulation. MolecularPharmacology 59:212-219, 2001b.

Chen, P., Liu, X.-d., Zhang, W., Zhou, J., Wang, P., Yang, W. andLuo, J.. Modeling and simulation of ion channels and actionpotentials in taste receptor cells. Science in China. Series C,Life Sciences 52:1036-1047, 10.1007/s11427-009-0138-9, 2009a.

Chen, P. H., Liu, X. D., Wang, B. Q., Cheng, G. and Wang, P.. Abiomimetic taste receptor cell-based biosensor forelectrophysiology recording and acidic sensation. Sensors andActuators B-Chemical 139:576-583, 2009b.

Chen, S., Wang, J., Zhou, L., George, M. S. and Siegelbaum, S. A..Voltage sensor movement and cAMP binding allosterically regulatean inherently voltage-independent closed-open transition in HCNchannels. Journal of General Physiology 129:175-188, 2007.

Chen, W. R., Shen, G. Y., Shepherd, G. M., Hines, M. L. andMidtgaard, J.. Multiple modes of action potential initiation andpropagation in mitral cell primary dendrite. Journal ofNeurophysiology 88:2755-2764, 2002.

Chen, X., Shu, S., Schwartz, L. C., Sun, C., Kapur, J. andBayliss, D. A.. Homeostatic regulation of synaptic excitability:tonic GABA(A) receptor currents replace I(h) in cortical pyramidalneurons of HCN1 knock-out mice. Journal of Neuroscience30:2611-2622, 10.1523/JNEUROSCI.3771-09.2010, 2010.

Chen, X. D., Shu, S. F., Kennedy, D. P., Willcox, S. C. andBayliss, D. A.. Subunit-specific effects of isoflurane on neuronalI-h in HCN1 knockout mice. Journal of Neurophysiology101:129-140, 2009c.

Chen, Y. A., Yu, F. H., Surmeier, D. J., Scheuer, T. andCatterall, W. A.. Neuromodulation of Na+ channel slow inactivationvia cAMP-dependent protein kinase and protein kinase C. Neuron49:409-420, 2006.

Chéreau, R., Saraceno, G. E., Angibaud, J., Cattaert, D. andNägerl, U. V.. Superresolution imaging reveals activity-dependentplasticity of axon morphology linked to changes in actionpotential conduction velocity. Proceedings of the NationalAcademy of Sciences of the United States of America114:1401-1406, 10.1073/pnas.1607541114, 2017.

Chiang, P.-H., Wu, P.-Y., Kuo, T.-W., Liu, Y.-C., Chan, C.-F.,Chien, T.-C., Cheng, J.-K., Huang, Y.-Y., Chiu, C.-D. and Lien,C.-C.. GABA is depolarizing in hippocampal dentate granule cellsof the adolescent and adult rats. Journal of Neuroscience32:62-67, 10.1523/JNEUROSCI.3393-11.2012, 2012.

Chimento, T. C., Doshay, D. G. and Ross, M. D.. Compartmentalmodeling of rat macular primary afferents from 3-dimensionalreconstructions of transmission electron-micrographs of serialsections. Journal of Neurophysiology 71:1883-1896, 1994.

Chimento, T. C. and Ross, M. D.. Evidence of a sensory processingunit in the mammalian macula. Annals of the New York Academy ofSciences 781:196-212, 1996.

Chiovini, B., Turi, G. F., Katona, G., Kaszás, A., Pálfi, D.,Maák, P., Szalay, G., Szabó, M. F., Szabó, G., Szadai, Z., Káli,S. and Rózsa, B.. Dendritic spikes induce ripples in parvalbumininterneurons during hippocampal sharp waves. Neuron 82:908-924,10.1016/j.neuron.2014.04.004, 2014.

Chitwood, R. A., Claiborne, B. J. and Jaffe, D. B.. Modeling thepassive properties of nonpyramidal neurons in hippocampal areaCA3. In: Computational Neuroscience: Trends in Research, 1997,edited by Bower, J. M.. New York: New York, Plenum Press, 1997,pp. 59-64.

Chitwood, R. A., Hubbard, A. and Jaffe, D. B.. Passiveelectrotonic properties of rat hippocampal CA3 interneurones.Journal of Physiology 515:743-756, 1999.

Chiu, C. Q., Lur, G., Morse, T. M., Carnevale, N. T.,Ellis-Davies, G. C. R. and Higley, M. J.. Compartmentalization ofGABAergic inhibition by dendritic spines. Science 340:759-762,10.1126/science.1234274, 2013.

Choi, J.-S. and Waxman, S. G.. Physiological interactions betweenNa(v)1.7 and Na(v)1.8 sodium channels: a computer simulationstudy.. Journal of Neurophysiology 106:3173-3184,10.1152/jn.00100.2011, 2011.

Chono, K., Takagi, H., Koyama, S., Suzuki, H. and Ito, E.. A cellmodel study of calcium influx mechanism regulated by calciumdependent potassium channels in Purkinje cell dendrites. Journalof Neuroscience Methods 129:115-127, 2003.

Chow, C. C. and White, J. A.. Spontaneous action potentials due tochannel fluctuations. Biophysical Journal 71:3013-3021, 1996.

Christensen, T. A., D’Alessandro, G., Lega, J. and Hildebrand, J.G.. Morphometric modeling of olfactory circuits in the insectantennal lobe: I simulations of spiking local interneurons.Biosystems 61:143-153, 2001.

Chung, H., Im, C., Seo, H. and Jun, S. C.. Morphological influenceand electric field direction’s influence on activation of corticalneurons in electrical brain stimulation: a computational study[Online]. Proc. 42nd Annual Int. Conf. of the IEEE Engineering inMedicine Biology Society (EMBC) :2938-2941,10.1109/EMBC44109.2020.9175250, 2020.

Ciotti, F., Valle, G., Pedrocchi, A. and Raspopovic, S.. Acomputational model of the pudendal nerve for the bioelectronictreatment of sexual dysfunctions [Online]. Proc. 10th Int.IEEE/EMBS Conf. Neural Engineering :267-270,10.1109/NER49283.2021.9441309, 2021.

Claiborne, B. J., Zador, A. M., Mainen, Z. F. and Brown, T. H..Computational models of hippocampal neurons. In: Single NeuronComputation, edited by McKenna, T., Davis, J. and Zornetzer, S.F.. San Diego: San Diego, Academic Press, 1992, pp. 61-79.

Clark, B. A., Monsivais, P., Branco, T., London, M. and Häusser,M.. The site of action potential initiation in cerebellar Purkinjeneurons. Nature Neuroscience 8:137-139, 2005.

Clark, D. L., Johnson, K. A., Butson, C. R., Lebel, C., Gobbi, D.,Ramasubbu, R. and Kiss, Z. H. T.. Tract-based analysis of targetengagement by subcallosal cingulate deep brain stimulation fortreatment resistant depression. Brain Stimulation 13:1094-1101,10.1016/j.brs.2020.03.006, 2020.

Clay, J. R., Paydarfar, D. and Forger, D. B.. A simplemodification of the Hodgkin and Huxley equations explains type 3excitability in squid giant axons. Journal of the Royal SocietyInterface 5:1421-1428, 10.1098/rsif.2008.0166, 2008.

Cleland, T. A. and Sethupathy, P.. Non-topographical contrastenhancement in the olfactory bulb. BMC Neuroscience 7:7,doi:10.1186/1471-2202-7-7, 2006.

Clopath, C., Büsing, L., Vasilaki, E. and Gerstner, W..Connectivity reflects coding: a model of voltage-based STDP withhomeostasis. Nature Neuroscience 13:344-352, 10.1038/nn.2479,2010.

Cochran, A. L., Nieser, K. J., Forger, D. B., Zöllner, S. andMcInnis, M. G.. Gene-set enrichment with mathematical biology(GEMB). GigaScience 910.1093/gigascience/giaa091, 2020.

Coggan, J. S., Prescott, S. A., Bartol, T. M. and Sejnowski, T.J.. Imbalance of ionic conductances contributes to diversesymptoms of demyelination. Proceedings of the National Academy ofSciences of the United States of America 107:20602-20609,10.1073/pnas.1013798107, 2010.

Coggan, J. S., Keller, D., Calì, C., Lehväslaiho, H., Markram, H.,Schürmann, F. and Magistretti, P. J.. Norepinephrine stimulatesglycogenolysis in astrocytes to fuel neurons with lactate. PLoSComputational Biology 14:e1006392, 10.1371/journal.pcbi.1006392,2018.

Coggan, J. S., Sejnowski, T. J. and Prescott, S. A.. Cooperativitybetween remote sites of ectopic spiking allows afterdischarge tobe initiated and maintained at different locations. Journal ofComputational Neuroscience 39:17-28, 10.1007/s10827-015-0562-8,2015.

Cohen, A., Shappir, J., Yitzchaik, S. and Spira, M. E..Experimental and theoretical analysis of neuron-transistor hybridelectrical coupling: The relationships between the electro-anatomyof cultured Aplysia neurons and the recorded field potentials.Biosensors and Bioelectronics 22:656-663, 2006.

Cohen, A., Shappir, J., Yitzchaik, S. and Spira, M. E.. Reversibletransition of extracellular field potential recordings tointracellular recordings of action potentials generated by neuronsgrown on transistors. Biosensors and Bioelectronics 23:811-819,2008.

Cohen, C. C. H., Popovic, M. A., Klooster, J., Weil, M.-T.,Möbius, W., Nave, K.-A. and Kole, M. H. P.. Saltatory conductionalong myelinated axons involves a periaxonal nanocircuit. Cell180:311-322.e15, 10.1016/j.cell.2019.11.039, 2020.

Cohen, M. X.. Fluctuations in oscillation frequency control spiketiming and coordinate neural networks. Journal of Neuroscience34:8988-8998, 10.1523/JNEUROSCI.0261-14.2014, 2014.

co*ker, R. A., Zellmer, E. R. and Moran, D. W.. Micro-channel sieveelectrode for concurrent bidirectional peripheral nerve interface.Part A: recording. Journal of Neural Engineering 16:026001,10.1088/1741-2552/aaefcf, 2019a.

co*ker, R. A., Zellmer, E. R. and Moran, D. W.. Micro-channel sieveelectrode for concurrent bidirectional peripheral nerve interface.Part B: stimulation. Journal of Neural Engineering 16:026002,10.1088/1741-2552/aaefab, 2019b.

Colbert, C. M. and Pan, E. H.. Ion channel properties underlyingaxonal action potential initiation in pyramidal neurons. NatureNeuroscience 5:533-538, 2002.

Colburn, H. S., Chung, Y. J., Zhou, Y. and Brughera, A.. Models ofbrainstem responses to bilateral electrical stimulation. Journalof the Association for Research in Otolaryngology 10:91-110,2009.

Combe, C. L., Canavier, C. C. and Gasparini, S.. Intrinsicmechanisms of frequency selectivity in the proximal dendrites ofCa1 pyramidal neurons. Journal of Neuroscience 38:8110-8127,10.1523/JNEUROSCI.0449-18.2018, 2018.

Conde-Sousa, E. and Aguiar, P.. A working memory model for serialorder that stores information in the intrinsic excitabilityproperties of neurons. Journal of Computational Neuroscience35:187-199, 10.1007/s10827-013-0447-7, 2013.

Connelly, W. M.. Autaptic connections and synaptic depressionconstrain and promote gamma oscillations. PLoS ONE 9:e89995,10.1371/journal.pone.0089995, 2014.

Connelly, W. M., Crunelli, V. and Errington, A. C.. The GlobalSpike: conserved dendritic properties enable unique Ca2+ spikegeneration in low-threshold spiking neurons. Journal ofNeuroscience 35:15505-15522, 10.1523/JNEUROSCI.2740-15.2015,2015.

Connelly, W. M., Crunelli, V. and Errington, A. C.. Passivesynaptic normalization and input synchrony-dependent amplificationof cortical feedback in thalamocortical neuron dendrites. Journalof Neuroscience 36:3735-3754, 10.1523/JNEUROSCI.3836-15.2016,2016.

Contreras, D., Destexhe, A. and Steriade, M.. Intracellular andcomputational characterization of the intracortical inhibitorycontrol of synchronized thalamic inputs in vivo. Journal ofNeurophysiology 78:335-350, 1997.

Cook, D. L., Schwindt, P. C., Grande, L. A. and Spain, W. J..Synaptic depression in the localization of sound. Nature421:66-70, 2003.

Cook, E. P. and Johnston, D.. Active dendrites reducelocation-dependent variability of synaptic input trains. Journalof Neurophysiology 78:2116-2128, 1997.

Cook, E. P. and Johnston, D.. Voltage-dependent properties ofdendrites that eliminate location-dependent variability ofsynaptic input. Journal of Neurophysiology 81:535-543, 1999.

Cook, E. P., Wilhelm, A. C., Guest, J. A., Liang, Y., Masse, N. Y.and Colbert, C. M.. The neuronal transfer function: contributionsfrom voltage- and time-dependent mechanisms.. Progress in BrainResearch 165:1-12, 10.1016/S0079-6123(06)65001-2, 2007.

Coombes, S., Timofeeva, Y., Svensson, C.-M., Lord, G. J., Josic,K., Cox, S. J. and Colbert, C. M.. Branching dendrites withresonant membrane: a “sum-over-trips” approach. BiologicalCybernetics 97:137-149, 2007.

Cornford, J. H., Mercier, M. S., Leite, M., Magloire, V., Häusser,M. and Kullmann, D. M.. Dendritic NMDA receptors in parvalbuminneurons enable strong and stable neuronal assemblies. eLife8:e49872, 10.7554/eLife.49872, 2019.

Corsi, P., Formento, E., Capogrosso, M. and Micera, S.. Role ofrenshaw cells in the mammalian locomotor circuit: a computationalstudy [Online]. Converging Clinical and Engineering Research onNeurorehabilitation III :107-111, 2019.

Coskren, P. J., Luebke, J. I., Kabaso, D., Wearne, S. L., Yadav,A., Rumbell, T., Hof, P. R. and Weaver, C. M.. Functionalconsequences of age-related morphologic changes to pyramidalneurons of the rhesus monkey prefrontal cortex. Journal ofComputational Neuroscience 38:263-283, 10.1007/s10827-014-0541-5,2015.

Couto, J. and Grill, W. M.. Kilohertz frequency deep brainstimulation is ineffective at regularizing the firing of modelthalamic neurons. Frontiers in Computational Neuroscience 10:22,10.3389/fncom.2016.00022, 2016.

Couto, J., Linaro, D., De Schutter, E. and Giugliano, M.. On thefiring rate dependency of the phase response curve of rat Purkinjeneurons in vitro. PLoS Computational Biology 11:e1004112,10.1371/journal.pcbi.1004112, 2015.

Coventry, B. S., Parthasarathy, A., Sommer, A. L. and Bartlett, E.L.. Hierarchical winner-take-all particle swarm optimizationsocial network for neural model fitting. Journal of ComputationalNeuroscience 42:71-85, 10.1007/s10827-016-0628-2, 2017.

Crane, G. J., Hines, M. L. and Neild, T. O.. Simulating the spreadof membrane potential changes in arteriolar networks.Microcirculation 8:33-43, 2001.

Cremonesi, F., Hager, G., Wellein, G. and Schürmann, F.. Analyticperformance modeling and analysis of detailed neuron simulations.International Journal of High Performance Computing Applications34:428-449, 10.1177/1094342020912528, 2020.

Cremonesi, F. and Schürmann, F.. Understanding computational costsof cellular-level brain tissue simulations through analyticalperformance models. Neuroinformatics 10.1007/s12021-019-09451-w,2020.

Criado, J., Garcia-Gasulla, M., Kumbhar, P., Awile, O.,Magkanaris, I. and Mantovani, F.. CoreNEURON: performance andenergy efficiency evaluation on Intel and Arm CPUs [Online]. 2020IEEE International Conference on Cluster Computing (CLUSTER),10.1109/cluster49012.2020.00077, 2020.

Crotty, P., Lasker, E. and Cheng, S.. Constraints on thesynchronization of entorhinal cortex stellate cells. PhysicalReview E 86:011908, 10.1103/PhysRevE.86.011908, 2012.

Crotty, P. and Levy, W. B.. Intersymbol interference in axonaltransmission. Neurocomputing 69:1006-1009, 2006.

Crotty, P. and Levy, W. B.. Effects of Na+ channel inactivationkinetics on metabolic energy costs of action potentials.Neurocomputing 70:1652-1656, 2007.

Crotty, P. and Sangrey, T.. Optimization of battery strengths inthe Hodgkin-Huxley model. Neurocomputing 74:3843-3854,10.1016/j.neucom.2011.07.021, 2011.

Crotty, P., Sangrey, T. and Levy, W. B.. Metabolic energy cost ofaction potential velocity. Journal of Neurophysiology96:1237-1246, 2006.

Cruz, G. E., Sahley, C. L. and Muller, K. J.. Neuronal competitionfor action potential initiation sites in a circuit controllingsimple learning. Neuroscience 148:65-81, 2007.

Cruz, J. S., Kushmerick, C., Moreira-Lobo, D. C. and Oliveira, F.A.. Thiamine deficiency in vitro accelerates A-type potassiumcurrent inactivation in cerebellar granule neurons. Neuroscience221:108-114, 10.1016/j.neuroscience.2012.06.053, 2012.

Csernai, M., Borbély, S., Kocsis, K., Burka, D., Fekete, Z.,Balogh, V., Káli, S., Emri, Z. and Barthó, P.. Dynamics of sleeposcillations is coupled to brain temperature on multiple scales.Journal of Physiology 597:4069-4086, 10.1113/JP277664, 2019.

Cserpán, D., Meszéna, D., Wittner, L., Tóth, K., Ulbert, I.,Somogyvári, Z. and Wójcik, D. K.. Revealing the distribution oftransmembrane currents along the dendritic tree of a neuron fromextracellular recordings. eLife 62017.

Cudmore, R. H., Fronzaroli-Molinieres, L., Giraud, P. and Debanne,D.. Spike-time precision and network synchrony are controlled bythe homeostatic regulation of the D-type potassium current.Journal of Neuroscience 30:12885-12895,10.1523/JNEUROSCI.0740-10.2010, 2010.

Culmone, V. and Migliore, M.. Progressive effect of beta amyloidpeptides accumulation on CA1 pyramidal neurons: a model studysuggesting possible treatments. Frontiers in ComputationalNeuroscience 6:52, 10.3389/fncom.2012.00052, 2012.

c*ntz, H., Bird, A. D., Mittag, M., Beining, M., Schneider, M.,Mediavilla, L., Hoffmann, F. Z., Deller, T. and Jedlicka, P.. Ageneral principle of dendritic constancy: a neuron’s size- andshape-invariant excitability. Neuron 109:3647-3662.e7,10.1016/j.neuron.2021.08.028, 2021.

c*ntz, H., Borst, A. and Segev, I.. Optimization principles ofdendritic structure. Theoretical Biology and Medical Modelling4:21, 10.1186/1742-4682-4-21, 2007a.

c*ntz, H., Haag, J. and Borst, A.. Neural image processing bydendritic networks. Proceedings of the National Academy ofSciences of the United States of America 100:11082-11085, 2003.

c*ntz, H., Haag, J., Forstner, F., Segev, I. and Borst, A.. Robustcoding of flow-field parameters by axo-axonal gap junctionsbetween fly visual interneurons. Proceedings of the NationalAcademy of Sciences of the United States of America104:10229-10233, 2007b.

Currin, C. B., Trevelyan, A. J., Akerman, C. J. and Raimondo, J.V.. Chloride dynamics alter the input-output properties ofneurons. PLoS Computational Biology 16:e1007932,10.1371/journal.pcbi.1007932, 2020.

Curti, S., Gomez, L., Budelli, R. and Pereda, A. E.. Subthresholdsodium current underlies essential functional specializations atprimary auditory afferents. Journal of Neurophysiology99:1683-1699, 2008.

Cutsuridis, V.. Improving the recall performance of a brainmimetic microcircuit model. Cognitive Computation 11:644-655,10.1007/s12559-019-09658-8, 2019.

Cutsuridis, V., Cobb, S. and Graham, B. P.. Encoding and retrievalin a model of the hippocampal CA1 microcircuit. Hippocampus20:423-446, 10.1002/hipo.20661, 2010.

Cutsuridis, V. and Poirazi, P.. A computational study on how thetamodulated inhibition can account for the long temporal windows inthe entorhinal-hippocampal loop. Neurobiology of Learning andMemory 120:69-83, 10.1016/j.nlm.2015.02.002, 2015.

D’Angelo, E.. The critical role of Golgi cells in regulatingspatio-temporal integration and plasticity at the cerebellum inputstage. Frontiers in Neuroscience 2:35-46, 2008.

D’Angelo, E., Nieus, T., Bezzi, M., Arleo, A. and Coenen, O.-M.D.. Modeling synaptic transmission and quantifying informationtransfer in the granular layer of the cerebellum. In:Computational Intelligence and Bioinspired Systems, edited byCabestany, J., Prieto, A. and Sandoval, F.. Springer BerlinHeidelberg, 2005, pp. 107-114.

D’Angelo, E., Nieus, T., Maffei, A., Armano, S., Rossi, P.,Taglietti, V., Fontana, A. and Naldi, G.. Theta-frequency burstingand resonance in cerebellar granule cells: experimental evidenceand modeling of a slow K+-dependent mechanism. Journal ofNeuroscience 21:759-770, 2001.

Dai, K., Gratiy, S. L., Billeh, Y. N., Xu, R., Cai, B., Cain, N.,Rimehaug, A. E., Stasik, A. J., Einevoll, G. T., Mihalas, S.,Koch, C. and Arkhipov, A.. Brain Modeling ToolKit: an open sourcesoftware suite for multiscale modeling of brain circuits. PLoSComputational Biology 16:e1008386, 10.1371/journal.pcbi.1008386,2020a.

Dai, K., Hernando, J., Billeh, Y. N., Gratiy, S. L., Planas, J.,Davison, A. P., Dura-Bernal, S., Gleeson, P., Devresse, A.,Dichter, B. K., Gevaert, M., King, J. G., Van Geit, W. A. H.,Povolotsky, A. V., Muller, E., Courcol, J.-D. and Arkhipov, A..The SONATA data format for efficient description of large-scalenetwork models. PLoS Computational Biology 16:e1007696,10.1371/journal.pcbi.1007696, 2020b.

D’Amico, M., Garcia-Gasulla, M., López, V., Jokanovic, A.,Sirvent, R. and Corbalan, J.. DROM [Online]. Proceedings of the47th International Conference on Parallel Processing Companion,10.1145/3229710.3229752, 2018.

Dan, O., Hopp, E., Borst, A. and Segev, I.. Non-uniform weightingof local motion inputs underlies dendritic computation in the flyvisual system. Scientific Reports 8:5787,10.1038/s41598-018-23998-9, 2018.

Daneshi Kohan, E., Lashkari, B. S. and Sparrey, C. J.. The effectsof paranodal myelin damage on action potential depend on axonalstructure. Medical and Biological Engineering and Computing56:395-411, 10.1007/s11517-017-1691-1, 2018.

Das, A. and Narayanan, R.. Active dendrites regulate spectralselectivity in location-dependent spike initiation dynamics ofhippocampal model neurons. Journal of Neuroscience 34:1195-1211,10.1523/JNEUROSCI.3203-13.2014, 2014.

Das, A. and Narayanan, R.. Active dendrites mediate stratifiedgamma-range coincidence detection in hippocampal model neurons.Journal of Physiology 593:3549-3576, 10.1113/JP270688, 2015.

Dasgupta, D. and Sikdar, S. K.. Calcium permeable AMPAreceptor-dependent long lasting plasticity of intrinsicexcitability in fast spiking interneurons of the dentate gyrusdecreases inhibition in the granule cell layer. Hippocampus25:269-285, 10.1002/hipo.22371, 2015.

Datunashvili, M., Chaudhary, R., Zobeiri, M., Lüttjohann, A.,Mergia, E., Baumann, A., Balfanz, S., Budde, B., van Luijtelaar,G., Pape, H.-C., Koesling, D. and Budde, T.. Modulation ofhyperpolarization-activated inward current and thalamic activitymodes by different cyclic nucleotides. Frontiers in CellularNeuroscience 12:369, 10.3389/fncel.2018.00369, 2018.

Daur, N., Zhang, Y., Nadim, F. and Bucher, D.. Mutual suppressionof proximal and distal axonal spike initiation determines theoutput patterns of a motor neuron. Frontiers In CellularNeuroscience 13:477, 10.3389/fncel.2019.00477, 2019.

Dave, V., Mahapatra, C. and Manchanda, R.. A mathematical model ofthe calcium transient in urinary bladder smooth muscle cells.Annual International Conference of the IEEE Engineering inMedicine and Biology Society 2015:5359-5362,10.1109/EMBC.2015.7319602, 2015.

Dave, V. and Manchanda, R.. A computational model of the Ca2+transients and influence of buffering in guinea pig urinarybladder smooth muscle cells. Journal of Bioinformatics andComputational Biology 15:1750011, 10.1142/S0219720017500111,2017.

David, F., Linster, C. and Cleland, T. A.. Lateral dendritic shuntinhibition can regularize mitral cell spike patterning. Journalof Computational Neuroscience 25:25-38, 2008.

David, Y., Cacheaux, L. P., Ivens, S., Lapilover, E., Heinemann,U., Kaufer, D. and Friedman, A.. Astrocytic dysfunction inepileptogenesis: consequence of altered potassium and glutamatehomeostasis?. Journal of Neuroscience 29:10588-10599, 2009.

Davids, M., Guérin, B., Malzacher, M., Schad, L. R. and Wald, L.L.. Predicting magnetostimulation thresholds in the peripheralnervous system using realistic body models. Scientific Reports7:5316, 10.1038/s41598-017-05493-9, 2017.

Davids, M., Guérin, B., Vom Endt, A., Schad, L. R. and Wald, L.L.. Prediction of peripheral nerve stimulation thresholds of MRIgradient coils using coupled electromagnetic and neurodynamicsimulations. Magnetic Resonance in Medicine 81:686-701,10.1002/mrm.27382, 2019.

Davis, O., Merrison-Hort, R., Soffe, S. R. and Borisyuk, R..Studying the role of axon fasciculation during development in acomputational model of the Xenopus tadpole spinal cord.Scientific Reports 7:13551, 10.1038/s41598-017-13804-3, 2017.

Davison, A.. Biologically-detailed network modelling. In:Computational Neuroscience, edited by Feng, J.. London: London,Chapman & Hall/CRC Press, 2004, pp. 287-304.

Davison, A. P., Feng, J. and Brown, D.. A reduced compartmentalmodel of the mitral cell for use in network models of theolfactory bulb. Brain Research Bulletin 51:393-399, 2000.

Davison, A. P., Feng, J. F. and Brown, D.. Dendrodendriticinhibition and simulated odor responses in a detailed olfactorybulb network model. Journal of Neurophysiology 90:1921-1935,2003.

Davison, A. P. and Fregnac, Y.. Learning cross-modal spatialtransformations through spike timing-dependent plasticity.Journal of Neuroscience 26:5604-5615, 2006.

Davison, A. P., Brüderle, D., Eppler, J., Kremkow, J., Muller, E.,Pecevski, D., Perrinet, L. and Yger, P.. PyNN: a common interfacefor neuronal network simulators. Front Neuroinform 2:11,10.3389/neuro.11.011.2008, 2008.

Davison, A. P., Hines, M. L. and Muller, E.. Trends in programminglanguages for neuroscience simulations. Frontiers inNeuroscience 3:374-380, 10.3389/neuro.01.036.2009, 2009.

Davoine, F. and Curti, S.. Response to coincident inputs inelectrically coupled primary afferents is heterogeneous and isenhanced by H-current (IH) modulation. Journal ofNeurophysiology 122:151-175, 10.1152/jn.00029.2019, 2019.

Day, M., Carr, D. B., Ulrich, S., Ilijic, E., Tkatch, T. andSurmeier, D. J.. Dendritic excitability of mouse frontal cortexpyramidal neurons is shaped by the interaction among HCN, Kir2,and Kleak channels. Journal of Neuroscience 25:8776-8787, 2005.

Day, M., Wokosin, D., Plotkin, J. L., Tian, X. Y. and Surmeier, D.J.. Differential excitability and modulation of striatal mediumspiny neuron dendrites. Journal of Neuroscience 28:11603-11614,2008.

De La Pava Panche, I., Gómez-Orozco, V., Álvarez-López, M. A.,Henao-Gallo, Ó. A., Daza-Santacoloma, G. and Orozco-Gutiérrez, Á.Á.. Accelerating the computation of the volume of tissue activatedduring deep brain stimulation using Gaussian processes. RevistaFacultad de Ingeniería Universidad de Antioquia 84:17-26, 2017.

Debay, D., Wolfart, J., Le Franc, Y., Le Masson, G. and Bal, T..Exploring spike transfer through the thalamus using hybridartificial-biological neuronal networks. Journal of Physiology,Paris 98:540-558, 2004.

Degro, C. E., Kulik, A., Booker, S. A. and Vida, I.. Compartmentaldistribution of GABAB receptor-mediated currents along thesomatodendritic axis of hippocampal principal cells.. Frontiersin Synaptic Neuroscience 7:6, 10.3389/fnsyn.2015.00006, 2015.

Deister, C. A., Chan, C. S., Surmeier, D. J. and Wilson, C. J..Calcium-activated SK channels influence voltage-gated ion channelsto determine the precision of firing in globus pallidus neurons.Journal of Neuroscience 29:8452-8461, 2009.

Deitcher, Y., Eyal, G., Kanari, L., Verhoog, M. B., AtenekengKahou, G. A., Mansvelder, H. D., de Kock, C. P. J. and Segev, I..Comprehensive morpho-electrotonic analysis shows 2 distinctclasses of L2 and L3 pyramidal neurons in human temporal cortex.Cerebral Cortex 27:5398-5414, 10.1093/cercor/bhx226, 2017.

Dekker, D. M. T., Briaire, J. J. and Frijns, J. H. M.. The impactof internodal segmentation in biophysical nerve fiber models.Journal of Computational Neuroscience 37:307-315,10.1007/s10827-014-0503-y, 2014.

Delaney, A. J., Sedlak, P. L., Autuori, E., Power, J. M. and Sah,P.. Synaptic NMDA receptors in basolateral amygdala principalneurons are triheteromeric proteins: physiological role of GluN2Bsubunits. Journal of Neurophysiology 109:1391-1402,10.1152/jn.00176.2012, 2013.

Delattre, V., Keller, D., Perich, M., Markram, H. and Muller, E.B.. Network-timing-dependent plasticity. Frontiers in CellularNeuroscience 9:220, 10.3389/fncel.2015.00220, 2015.

Deleuze, C., David, F., Béhuret, S., Sadoc, G., Shin, H.-S.,Uebele, V. N., Renger, J. J., Lambert, R. C., Leresche, N. andBal, T.. T-type calcium channels consolidate tonic actionpotential output of thalamic neurons to neocortex. Journal ofNeuroscience 32:12228-12236, 10.1523/JNEUROSCI.1362-12.2012,2012.

Delgado, J. Y., Gomez-Gonzalez, J. F. and Desai, N. S.. Pyramidalneuron conductance state gates spike-timing-dependent plasticity.Journal of Neuroscience 30:15713-15725,10.1523/JNEUROSCI.3068-10.2010, 2010.

Delorme, A.. Early cortical orientation selectivity: how fastinhibition decodes the order of spike latencies. Journal ofComputational Neuroscience 15:357-365, 2003.

Delvendahl, I., Straub, I. and Hallermann, S.. Dendriticpatch-clamp recordings from cerebellar granule cells demonstrateelectrotonic compactness. Frontiers in Cellular Neuroscience9:93, 10.3389/fncel.2015.00093, 2015.

DeMaegd, M. L. and Stein, W.. Temperature-robust activity patternsarise from coordinated axonal Sodium channel properties. PLoSComputational Biology 16:e1008057, 10.1371/journal.pcbi.1008057,2020.

DeMaegd, M. L. and Stein, W.. Neuropeptide modulation increasesdendritic electrical spread to restore neuronal activity disruptedby temperature. Journal of Neuroscience 41:7607-7622,10.1523/JNEUROSCI.0101-21.2021, 2021.

Dembitskaya, Y., Wu, Y.-W. and Semyanov, A.. Tonic GABAAconductance favors spike-timing-dependent over theta-burst-inducedlong-term potentiation in the hippocampus. Journal ofNeuroscience 10.1523/JNEUROSCI.2118-19.2020, 2020.

Demianenko, L. E., PoddubnayaI, E. P., MakedonskyI, A., Kulagina,B. and Korogod, S. M.. Hypothermic suppression of epileptiformbursting activity of a hyppocampal granule neuron possessingthermosensitive TRP channels (a model study: biophysical andclinical aspects). Neurophysiology 49:8-18,10.1007/s11062-017-9624-z, 2017.

Desjardins, A. E., Li, Y. X., Reinker, S., Miura, R. M. andNeuman, R. S.. The influences of I-h on temporal summation inhippocampal CA1 pyramidal neurons: a modeling study. Journal ofComputational Neuroscience 15:131-142, 2003.

Destexhe, A.. Conductance-based integrate-and-fire models. NeuralComputation 9:503-514, 1997.

Destexhe, A.. Spike-and-wave oscillations based on the propertiesof GABA-B receptors. Journal of Neuroscience 18:9099-9111, 1998.

Destexhe, A.. Can GABAA conductances explain the fast oscillationfrequency of absence seizures in rodents?. European Journal ofNeuroscience 11:2175-2181, 1999.

Destexhe, A.. Modelling corticothalamic feedback and the gating ofthe thalamus by the cerebral cortex. Journal of Physiology,Paris 94:391-410, 2000.

Destexhe, A.. Simplified models of neocortical pyramidal cellspreserving somatodendritic voltage attenuation. Neurocomputing38-40:167-173, 2001.

Destexhe, A.. Self-sustained asynchronous irregular states andUp-Down states in thalamic, cortical and thalamocortical networksof nonlinear integrate-and-fire neurons. Journal of ComputationalNeuroscience 27:493-506, 10.1007/s10827-009-0164-4, 2009.

Destexhe, A. and Babloyantz, A.. A model of the inward current Ihand its possible role in thalamocortical oscillations.Neuroreport 4:223-226, 1993.

Destexhe, A., Babloyantz, A. and Sejnowski, T. J.. Ionicmechanisms for intrinsic slow oscillations in thalamic relayneurons. Biophysical Journal 65:1538-1552, 1993a.

Destexhe, A., Badoual, M., Piwkowska, Z., Bal, T. and Rudolph, M..A novel method for characterizing synaptic noise in corticalneurons. Neurocomputing 58-60:191-196, 2004.

Destexhe, A., Bal, T., McCormick, D. A. and Sejnowski, T. J..Ionic mechanisms underlying synchronized oscillations andpropagating waves in a model of ferret thalamic slices. Journalof Neurophysiology 76:2049-2070, 1996a.

Destexhe, A. and Contreras, D.. Neuronal computations withstochastic network states. Science 314:85-90, 2006.

Destexhe, A., Contreras, D., Sejnowski, T. J. and Steriade, M.. Amodel of spindle rhythmicity in the isolated thalamic reticularnucleus. Journal of Neurophysiology 72:803-818, 1994a.

Destexhe, A., Contreras, D., Sejnowski, T. J. and Steriade, M..Modeling the control of reticular thalamic oscillations byneuromodulators. Neuroreport 5:2217-2220, 1994b.

Destexhe, A., Contreras, D. and Steriade, M.. Mechanismsunderlying the synchronizing action of corticothalamic feedbackthrough inhibition of thalamic relay cells. Journal ofNeurophysiology 79:999-1016, 1998a.

Destexhe, A., Contreras, D. and Steriade, M.. Cortically-inducedcoherence of a thalamic-generated oscillation. Neuroscience92:427-443, 1999.

Destexhe, A., Contreras, D. and Steriade, M.. LTS cells incerebral cortex and their role in generating spike-and-waveoscillations. Neurocomputing 38:555-563, 2001a.

Destexhe, A., Contreras, D., Steriade, M., Sejnowski, T. J. andHuguenard, J.. Computational models constrained by voltage-clampdata for investigating dendritic currents. In: ComputationalNeuroscience, edited by Bower, J.. New York: New York, AcademicPress, 1996b, pp. .

Destexhe, A., Contreras, D., Steriade, M., Sejnowski, T. J. andHuguenard, J. R.. In vivo, in vitro, and computational analysis ofdendritic calcium currents in thalamic reticular neurons. Journalof Neuroscience 16:169-185, 1996c.

Destexhe, A. and Huguenard, J. R.. Nonlinear thermodynamic modelsof voltage-dependent currents. Journal of ComputationalNeuroscience 9:259-270, 2000.

Destexhe, A. and Huguenard, J. R.. Which formalism to use formodeling voltage-dependent conductances?. In: ComputationalNeuroscience, edited by De Schutter, E.. Boca Raton, FL: BocaRaton, FL, CRC Press, 2001, pp. 129-157.

Destexhe, A., Lang, E. and Paré, D.. Somato-dendritic interactionsunderlying action potential generation in neocortical pyramidalcells in vivo. In: Computational Neuroscience: Trends inResearch, 1998, edited by Bower, J. M.. New York: New York,Plenum Press, 1998b, pp. 167-172.

Destexhe, A., Mainen, Z. F. and Sejnowski, T. J.. An efficientmethod for computing synaptic conductances based on a kineticmodel of receptor binding. Neural Computation 6:14-18, 1994c.

Destexhe, A., Mainen, Z. F. and Sejnowski, T. J.. Synthesis ofmodels for excitable membranes, synaptic transmission, andneuromodulation using a common kinetic formalism. Journal ofComputational Neuroscience 1:195-231, 1994d.

Destexhe, A., Mainen, Z. F. and Sejnowski, T. J.. Fast kineticmodels for simulating AMPA, NMDA, GABA(A) and GABA(B) receptors.In: The Neurobiology of Computation, edited by Bower, J..Norwell, MA: Norwell, MA, Kluwer, 1995a, pp. 9-14.

Destexhe, A., Mainen, Z. F. and Sejnowski, T. J.. Synapticcurrents, neuromodulation and kinetic models. In: The Handbook ofBrain Theory and Neural Networks, edited by Arbib, M. A..Cambridge, MA: Cambridge, MA, MIT Press, 1995b, pp. 956-959.

Destexhe, A., Mainen, Z. F. and Sejnowski, T. J.. Kinetic modelsof synaptic transmission. In: Methods in Neuronal Modeling,edited by Koch, C. and Segev, I.. Cambridge, MA: Cambridge, MA,MIT Press, 1998c, pp. 1-25.

Destexhe, A., Mainen, Z. F. and Sejnowski, T. J.. Synapticinteractions. In: The Handbook of Brain Theory and NeuralNetworks, edited by Arbib, M. A.. Cambridge, MA: Cambridge, MA,MIT Press, 2002, pp. 1126-1130.

Destexhe, A. and Marder, E.. Plasticity in single neuron andcircuit computations. Nature 431:789-795, 2004.

Destexhe, A., McCormick, D. A. and Sejnowski, T. J.. A model for8-10 Hz spindling in interconnected thalamic relay and reticularisneurons. Biophysical Journal 65:2473-2477, 1993b.

Destexhe, A., Neubig, M., Ulrich, D. and Huguenard, J.. Dendriticlow-threshold calcium currents in thalamic relay cells. Journalof Neuroscience 18:3574-3588, 1998d.

Destexhe, A. and Paré, D.. Impact of network activity on theintegrative properties of neocortical pyramidal neurons in vivo.Journal of Neurophysiology 81:1531-1547, 1999.

Destexhe, A. and Paré, D.. A combined computational andintracellular study of correlated synaptic bombardment inneocortical pyramidal neurons in vivo. Neurocomputing32:113-119, 2000.

Destexhe, A. and Rudolph, M.. Location independence and fastconduction of synaptic inputs in neocortical neurons in vivo.Neurocomputing 52-54:233-238, 2003.

Destexhe, A. and Rudolph, M.. Extracting information from thepower spectrum of synaptic noise. Journal of ComputationalNeuroscience 17:327-345, 2004.

Destexhe, A. and Rudolph, M.. Extracting information from thepower spectrum of voltage noise. Neurocomputing 65:901-906,2005.

Destexhe, A., Rudolph, M., Fellous, J.-M. and Sejnowski, T. J..Fluctuating synaptic conductances recreate in vivo-like activityin neocortical neurons. Neuroscience 107:13-24, 2001b.

Destexhe, A., Rudolph, M. and Paré, D.. The high-conductance stateof neocortical neurons in vivo. Nature Reviews Neuroscience4:739-751, 2003.

Destexhe, A. and Rudolph-Lilith, M.. Neuronal Noise. Springer,2012.

Destexhe, A. and Sejnowski, T. J.. G-protein activation kineticsand spillover of g-aminobutyric acid may account for differencesbetween inhibitory responses in the hippocampus and thalamus.Proceedings of the National Academy of Sciences of the UnitedStates of America 92:9515-9519, 1995.

Destexhe, A. and Sejnowski, T. J.. Synchronized oscillations inthalamic networks: insights from modeling studies. In: Thalamus,edited by Steriade, M., Jones, E. G. and McCormick, D. A..Amsterdam: Amsterdam, Elsevier, 1997, pp. 331-371.

Destexhe, A. and Sejnowski, T. J.. Thalamocortical Assemblies.New York: address, Oxford University Press, 2001.

Destexhe, A. and Sejnowski, T. J.. Sleep oscillations. In: TheHandbook of Brain Theory and Neural Networks, edited by Arbib, M.A.. Cambridge, MA: Cambridge, MA, MIT Press, 2002a, pp. 1049-1053.

Destexhe, A. and Sejnowski, T. J.. The initiation of bursts inthalamic neurons and the cortical control of thalamic sensitivity.Philosophical Transactions of the Royal Society B: BiologicalSciences 357:1649-1657, 2002b.

Destexhe, A. and Sejnowski, T. J.. Interactions between membraneconductances underlying thalamocortical slow-wave oscillations.Physiological Reviews 83:1401-1453, 2003.

Devaux, J. and Gow, A.. Tight junctions potentiate the insulativeproperties of small CNS myelinated axons. Journal of CellBiology 183:909-921, 2008.

Devor, A. and Yarom, Y.. Electrotonic coupling in the inferiorolivary nucleus revealed by simultaneous double patch recordings.Journal of Neurophysiology 87:3048-3058, 2002.

Dewell, R. B. and Gabbiani, F.. Biophysics of object segmentationin a collision-detecting neuron. eLife 7:e34238,10.7554/eLife.34238, 2018a.

Dewell, R. B. and Gabbiani, F.. M current regulates firing modeand spike reliability in a collision-detecting neuron. Journal ofNeurophysiology 120:1753-1764, 10.1152/jn.00363.2018, 2018b.

Dewell, R. B. and Gabbiani, F.. Active membrane conductances andmorphology of a collision detection neuron broaden its impedanceprofile and improve discrimination of input synchrony. Journal ofNeurophysiology 122:691-706, 10.1152/jn.00048.2019, 2019.

Deyo, S. N. and Lytton, W. W.. Inhibition can disrupthypersynchrony in model neuronal networks. Progress inNeuro-Psychopharmacology and Biological Psychiatry 21:735-750,1997.

Dhupia, N., Rathour, R. K. and Narayanan, R.. Dendritic atrophyconstricts functional maps in resonance and impedance propertiesof hippocampal model neurons. Frontiers in Cellular Neuroscience8:456, 10.3389/fncel.2014.00456, 2015.

Diaz, M. R., Wadleigh, A., Kumar, S., De Schutter, E. andValenzuela, C. F.. Na+/K+-ATPase inhibition partially mimics theethanol-induced increase of the Golgi cell-dependent component ofthe tonic GABAergic current in rat cerebellar granule cells..PLoS ONE 8:e55673, 10.1371/journal.pone.0055673, 2013.

Diba, K., Koch, C. and Segev, I.. Spike propagation in dendriteswith stochastic ion channels. Journal of ComputationalNeuroscience 20:77-84, 2006.

Diba, K., Lester, H. A. and Koch, C.. Intrinsic noise in culturedhippocampal neurons: Experiment and modeling. Journal ofNeuroscience 24:9723-9733, 2004.

Dietz, M., Wang, L., Greenberg, D. and McAlpine, D.. Sensitivityto interaural time differences conveyed in the stimulus envelope:estimating inputs of binaural neurons through the temporalanalysis of spike trains. Journal of the Association for Researchin Otolaryngology: JARO 17:313-330, 10.1007/s10162-016-0573-9,2016.

DiGregorio, D. A., Nusser, Z. and Silver, R. A.. Spillover ofglutamate onto synaptic AMPA receptors enhances fast transmissionat a cerebellar synapse. Neuron 35:521-533, 2002.

van Dijk, K. J., Verhagen, R., Bour, L. J., Heida, C. and Veltink,P. H.. Avoiding internal capsule stimulation with a neweight-channel steering deep brain stimulation lead.Neuromodulation 21:553-561, 10.1111/ner.12702, 2018.

van Dijk, K. J., Verhagen, R., Chaturvedi, A., McIntyre, C. C.,Bour, L. J., Heida, C. and Veltink, P. H.. A novel lead designenables selective deep brain stimulation of neural populations inthe subthalamic region. Journal of Neural Engineering 12:046003,10.1088/1741-2560/12/4/046003, 2015.

Dityatev, A. E., Chmykhova, N. M., Dityateva, G. V., Babalian, A.L., Kleinle, J. and Clamann, H. P.. Structural and physiologicalproperties of connections between individual reticulospinal axonsand lumbar motoneurons of the frog. Journal of ComparativeNeurology 430:433-447, 2001.

Diwakar, S.. Computational modeling of neuronal dysfunction atmolecular level validates the role of single neurons in circuitfunctions in cerebellum granular layer. In: ValidatingNeuro-computational Models of Neurological and PsychiatricDisorders, edited by SenBhattacharya, B. and Chowdhury, F. N.. ,2015, pp. 189-220.

Diwakar, S., Lombardo, P., Solinas, S., Naldi, G. and D’Angelo,E.. Local field potential modeling predicts dense activation incerebellar granule cells clusters under LTP and LTD control. PLoSONE 6:e21928, 10.1371/journal.pone.0021928, 2011.

Diwakar, S., Magistretti, J., Goldfarb, M., Naldi, G. andD’Angelo, E.. Axonal Na+ channels ensure fast spike activation andback-propagation in cerebellar granule cells. Journal ofNeurophysiology 101:519-532, 2009.

Djurisic, M., Antic, S., Chen, W. R. and Zecevic, D.. Voltageimaging from dendrites of mitral cells: EPSP attenuation and spiketrigger zones. Journal of Neuroscience 24:6703-6714, 2004.

Djurisic, M., Popovic, M., Carnevale, N. and Zecevic, D..Functional structure of the mitral cell dendritic tuft in the ratolfactory bulb. Journal of Neuroscience 28:4057-4068, 2008.

Doiron, B., Longtin, A., Berman, N. and Maler, L.. Subtractive anddivisive inhibition: effect of voltage-dependent inhibitoryconductances and noise. Neural Computation 13:227-248, 2001a.

Doiron, B., Longtin, A., Turner, R. W. and Maler, L.. Model ofgamma frequency burst discharge generated by conditionalbackpropagation. Journal of Neurophysiology 86:1523-1545, 2001b.

Doiron, B., Noonan, L., Lemon, N. and Turner, R. W.. PersistentNa+ current modifies burst discharge by regulating conditionalbackpropagation of dendritic spikes. Journal of Neurophysiology89:324-337, 2003.

Doischer, D., Hosp, J. A., Yanagawa, Y., Obata, K., Jonas, P.,Vida, I. and Bartos, M.. Postnatal differentiation of basket cellsfrom slow to fast signaling devices. Journal of Neuroscience28:12956-12968, 2008.

Domanski, A. P. F., Booker, S. A., Wyllie, D. J. A., Isaac, J. T.R. and Kind, P. C.. Cellular and synaptic phenotypes lead todisrupted information processing in Fmr1-KO mouse layer 4 barrelcortex. Nature Communications 10:4814,10.1038/s41467-019-12736-y, 2019.

Donley, D. W., Chen, Z., Bergin, D., Schulz, D. J. and Nair, S.S.. Multi-platform simulations facilitate interdisciplinaryinstruction in undergraduate neuroscience [Online]. Proc. 10thInt. IEEE/EMBS Conf. Neural Engineering :738-741,10.1109/NER49283.2021.9441407, 2021.

Donnelly, D. F.. Spontaneous action potential generation due topersistent sodium channel currents in simulated carotid bodyafferent fibers. Journal of Applied Physiology 104:1394-1401,2008.

Doron, M., Chindemi, G., Muller, E., Markram, H. and Segev, I..Timed synaptic inhibition shapes NMDA spikes, influencing localdendritic processing and global I/O properties of corticalneurons. Cell Reports 21:1550-1561,10.1016/j.celrep.2017.10.035, 2017.

van Dorp, S. and De Zeeuw, C. I.. Variable timing of synaptictransmission in cerebellar unipolar brush cells. Proceedings ofthe National Academy of Sciences of the United States of America111:5403-5408, 10.1073/pnas.1314219111, 2014.

Dougalis, A. G., Matthews, G. A. C., Liss, B. and Ungless, M. A..Ionic currents influencing spontaneous firing and pacemakerfrequency in dopamine neurons of the ventrolateral periaqueductalgray and dorsal raphe nucleus (vlPAG/DRN): A voltage-clamp andcomputational modelling study. Journal of ComputationalNeuroscience 42:275-305, 10.1007/s10827-017-0641-0, 2017.

Dougherty, K. A., Islam, T. and Johnston, D.. Intrinsicexcitability of CA1 pyramidal neurones from the rat dorsal andventral hippocampus. Journal of Physiology 590:5707-5722,10.1113/jphysiol.2012.242693, 2012.

Dover, K., Marra, C., Solinas, S., Popovic, M., Subramaniyam, S.,Zecevic, D., D’Angelo, E. and Goldfarb, M.. FHF-independentconduction of action potentials along the leak-resistantcerebellar granule cell axon. Nature Communications 7:12895,10.1038/ncomms12895, 2016.

Dover, K., Solinas, S., D’Angelo, E. and Goldfarb, M.. Long-terminactivation particle for voltage-gated sodium channels. Journalof Physiology 588:3695-3711, 10.1113/jphysiol.2010.192559, 2010.

Doyon, N., Prescott, S. A., Castonguay, A., Godin, A. G., Kröger,H. and De Koninck, Y.. Efficacy of synaptic inhibition depends onmultiple, dynamically interacting mechanisms implicated inchloride homeostasis. PLoS Computational Biology 7:e1002149,10.1371/journal.pcbi.1002149, 2011.

Drion, G., Franci, A., Seutin, V. and Sepulchre, R.. A novel phaseportrait for neuronal excitability. PLoS ONE 7:e41806,10.1371/journal.pone.0041806, 2012.

Drion, G., Massotte, L., Sepulchre, R. and Seutin, V.. Howmodeling can reconcile apparently discrepant experimental results:the case of pacemaking in dopaminergic neurons. PLoSComputational Biology 7:e1002050, 10.1371/journal.pcbi.1002050,2011.

Druckmann, S., Banitt, Y., Gidon, A., Schürmann, F., Markram, H.and Segev, I.. A novel multiple objective optimization frameworkfor constraining conductance-based neuron models by experimentaldata.. Frontiers in Neuroscience 1:7-18,10.3389/neuro.01.1.1.001.2007, 2007.

Druckmann, S., Berger, T. K., Hill, S., Schürmann, F., Markram, H.and Segev, I.. Evaluating automated parameter constrainingprocedures of neuron models by experimental and surrogate data.Biological Cybernetics 99:371-379, 10.1007/s00422-008-0269-2,2008.

Du, J. L. and Yang, X. L.. Glycinergic synaptic transmission tobullfrog retinal bipolar cells is input-specific. Neuroscience113:779-784, 2002.

Du, K., Wu, Y.-W., Lindroos, R., Liu, Y., Rózsa, B., Katona, G.,Ding, J. B. and Kotaleski, J. H.. Cell-type-specific inhibition ofthe dendritic plateau potential in striatal spiny projectionneurons. Proceedings of the National Academy of Sciences of theUnited States of America 114:E7612-E7621,10.1073/pnas.1704893114, 2017.

Du, X., Hao, H., Gigout, S., Huang, D., Yang, Y., Li, L., Wang,C., Sundt, D., Jaffe, D. B., Zhang, H. and Gamper, N.. Control ofsomatic membrane potential in nociceptive neurons and itsimplications for peripheral nociceptive transmission. Pain155:2306-2322, 10.1016/j.pain.2014.08.025, 2014.

Dudman, J. T. and Nolan, M. F.. Stochastically gating ion channelsenable patterned spike firing through activity-dependentmodulation of spike probability. PLoS Computational Biology5:10.1371/journal.pcbi.1000290, 10.1371/journal.pcbi.1000290,2009.

Duffley, G., Anderson, D. N., Vorwerk, J., Dorval, A. D. andButson, C. R.. Evaluation of methodologies for computing the deepbrain stimulation volume of tissue activated. Journal of NeuralEngineering 16:066024, 10.1088/1741-2552/ab3c95, 2019.

Dugladze, T., Maziashvili, N., Börgers, C., Gurgenidze, S.,Häussler, U., Winkelmann, A., Haas, C. A., Meier, J. C., Vida, I.,Kopell, N. J. and Gloveli, T.. GABA(B) autoreceptor-mediated celltype-specific reduction of inhibition in epileptic mice.Proceedings of the National Academy of Sciences of the UnitedStates of America 110:15073-15078, 10.1073/pnas.1313505110, 2013.

Dugladze, T., Schmitz, D., Whittington, M. A., Vida, I. andGloveli, T.. Segregation of axonal and somatic activity duringfast network oscillations. Science 336:1458-1461,10.1126/science.1222017, 2012.

Dugladze, T., Vida, I., Tort, A. B., Gross, A., Otahal, J.,Heinemann, U., Kopell, N. J. and Gloveli, T.. Impaired hippocampalrhythmogenesis in a mouse model of mesial temporal lobe epilepsy.Proceedings of the National Academy of Sciences of the UnitedStates of America 104:17530-17535, 2007.

Duijnhouwer, J., Remme, M. W. H., van Ooyen, A. and van Pelt, J..Influence of dendritic topology on firing patterns in modelneurons. Neurocomputing 38:183-189, 2001.

Dukkipati, S. S., Garrett, T. L. and Elbasiouny, S. M.. Thevulnerability of spinal motoneurons and soma size plasticity in amouse model of amyotrophic lateral sclerosis. Journal ofPhysiology 596:1723-1745, 10.1113/JP275498, 2018.

Dura-Bernal, S., Chadderdon, G. L., Neymotin, S., Francis, J. T.and Lytton, W.. Towards a real-time interface between a biomimeticmodel of sensorimotor cortex and a robotic arm. PatternRecognition Letters 36:204 - 212,http://dx.doi.org/10.1016/j.patrec.2013.05.019, 2014.

Dura-Bernal, S., Li, K., Neymotin, S. A., Francis, J. T.,Principe, J. C. and Lytton, W. W.. Restoring behavior via inverseneurocontroller in a lesioned cortical spiking model driving avirtual arm. Frontiers in Neuroscience 10:28,10.3389/fnins.2016.00028, 2016.

Dura-Bernal, S., Neymotin, S. A., Kerr, C. C., Sivagnanam, S.,Majumdar, A., Francis, J. T. and Lytton, W. W.. Evolutionaryalgorithm optimization of biological learning parameters in abiomimetic neuroprosthesis. IBM Journal of Research andDevelopment 61:6.1-6.14, 10.1147/JRD.2017.2656758, 2017.

Dura-Bernal, S., Suter, B. A., Gleeson, P., Cantarelli, M.,Quintana, A., Rodriguez, F., Kedziora, D. J., Chadderdon, G. L.,Kerr, C. C., Neymotin, S. A., McDougal, R. A., Hines, M.,Shepherd, G. M. and Lytton, W. W.. NetPyNE, a tool for data-drivenmultiscale modeling of brain circuits. eLife 8:e44494,10.7554/eLife.44494, 2019.

Dura-Bernal, S., Zhou, X., Neymotin, S. A., Przekwas, A., Francis,J. T. and Lytton, W. W.. Cortical spiking network interfaced withvirtual musculoskeletal arm and robotic arm. Frontiers inNeurorobotics 9:13, 10.3389/fnbot.2015.00013, 2015.

Durstewitz, D. and Gabriel, T.. Dynamical basis of irregularspiking in NMDA-driven prefrontal cortex neurons. CerebralCortex 17:894-908, 2007.

Dyhrfjeld-Johnsen, J., Morgan, R. J., Földy, C. and Soltesz, I..Upregulated H-current in hyperexcitable CA1 dendrites afterfebrile seizures. Frontiers in Cellular Neuroscience 2:2,10.3389/neuro.03.002.2008, 2008.

Dyhrfjeld-Johnsen, J., Santhakumar, V., Morgan, R. J., Huerta, R.,Tsimring, L. and Soltesz, I.. Topological determinants ofepileptogenesis in large-scale structural and functional models ofthe dentate gyrus derived from experimental data. Journal ofNeurophysiology 97:1566-1587, 2007.

Dzubay, J. A. and Jahr, C. E.. The concentration of synapticallyreleased glutamate outside of the climbing fiber-Purkinje cellsynaptic cleft. Journal of Neuroscience 19:5265-5274, 1999.

Ebner, C., Clopath, C., Jedlicka, P. and c*ntz, H.. Unifyinglong-term plasticity rules for excitatory synapses by modelingdendrites of cortical pyramidal neurons. Cell Reports29:4295-4307.e6, 10.1016/j.celrep.2019.11.068, 2019.

Ecker, A., Romani, A., Sáray, S., Káli, S., Migliore, M., Falck,J., Lange, S., Mercer, A., Thomson, A. M., Muller, E., Reimann, M.W. and Ramaswamy, S.. Data-driven integration of hippocampal CA1synaptic physiology in silico. Hippocampus 10.1002/hipo.23220,2020.

Edwards, D. H., Yeh, S. R., Arnett, L. D. and Nagapann, P. R..Changes in synaptic integration during the growth of the lateralgiant neuron of the crayfish. Journal of Neurophysiology72:899-908, 1994.

Egger, R., Narayanan, R. T., Guest, J. M., Bast, A., Udvary, D.,Messore, L. F., Das, S., de Kock, C. P. J. and Oberlaender, M..Cortical output is gated by horizontally projecting neurons in thedeep layers. Neuron 105:122-137.e8,10.1016/j.neuron.2019.10.011, 2020.

Egger, R., Schmitt, A. C., Wallace, D. J., Sakmann, B.,Oberlaender, M. and Kerr, J. N. D.. Robustness of sensory-evokedexcitation is increased by inhibitory inputs to distal apical tuftdendrites.. Proceedings of the National Academy of Sciences ofthe United States of America 112:14072-14077,10.1073/pnas.1518773112, 2015.

Egger, V., Nevian, T. and Bruno, R. M.. Subcolumnar dendritic andaxonal organization of spiny stellate and star pyramid neuronswithin a barrel in rat somatosensory cortex. Cerebral Cortex18:876-889, 2008.

Eggers, T., Kilgore, J., Green, D., Vrabec, T., Kilgore, K. andBhadra, N.. Combining direct current and kilohertz frequencyalternating current to mitigate onset activity during electricalnerve block. Journal of Neural Engineering1810.1088/1741-2552/abebed, 2021.

Eguchi, A., Neymotin, S. A. and Stringer, S. M.. Color opponentreceptive fields self-organize in a biophysical model of visualcortex via spike-timing dependent plasticity. Frontiers in NeuralCircuits 8:16, 10.3389/fncir.2014.00016, 2014.

Ehling, P., Cerina, M., Meuth, P., Kanyshkova, T., Bista, P.,Coulon, P., Meuth, S. G., Pape, H. C. and Budde, T..Ca2+-dependent large conductance K+ currents in thalamocorticalrelay neurons of different rat strains. Pflügers Archiv-EuropeanJournal of Physiology 465:469-480, 10.1007/s00424-012-1188-6,2013.

Ehling, P., Meuth, P., Eichinger, P., Herrmann, A. M., Bittner,S., Pawlowski, M., Pankratz, S., Herty, M., Budde, T. and Meuth,S. G.. Human T cells in silico: modelling theirelectrophysiological behaviour in health and disease. Journal ofTheoretical Biology 404:236-250, 10.1016/j.jtbi.2016.06.001,2016.

Eiber, C. D., Payne, S. C., Biscola, N. P., Havton, L. A., Keast,J. R., Osborne, P. B. and Fallon, J. B.. Computational modellingof nerve stimulation and recording with peripheral visceral neuralinterfaces. Journal of Neural Engineering1810.1088/1741-2552/ac36e2, 2021.

Eichinger, P., Herrmann, A. M., Ruck, T., Herty, M., Gola, L.,Kovac, S., Budde, T., Meuth, S. G. and Hundehege, P.. Human Tcells in silico: modelling dynamic intracellular calcium and itsinfluence on cellular electrophysiology. Journal of ImmunologicalMethods 461:78-84, 10.1016/j.jim.2018.06.020, 2018.

Eichner, H., Klug, T. and Borst, A.. Neural simulations onmulti-core architectures. Frontiers in Neuroinformatics 3:21,10.3389/neuro.11.021.2009, 2009.

Einevoll, G. T., Pettersen, K. H., Devor, A., Ulbert, I., Halgren,E. and Dale, A. M.. Laminar population analysis: estimating firingrates and evoked synaptic activity from multielectrode recordingsin rat barrel cortex. Journal of Neurophysiology 97:2174-2190,2007.

El Boustani, S., Marre, O., Behuret, S., Baudot, P., Yger, P.,Bal, T., Destexhe, A. and Fregnac, Y.. Network-state modulation ofpower-law frequency-scaling in visual cortical neurons. PLoSComputational Biology 5:e1000519, 10.1371/journal.pcbi.1000519,2009.

El Boustani, S., Pospischil, M., Rudolph-Lilith, M. and Destexhe,A.. Activated cortical states: Experiments, analyses and models.Journal of Physiology, Paris 101:99-109, 2007.

El Ghaleb, Y., Schneeberger, P. E., Fernández-Quintero, M. L.,Geisler, S. M., Pelizzari, S., Polstra, A. M., van Hagen, J. M.,Denecke, J., Campiglio, M., Liedl, K. R., Stevens, C. A., Person,R. E., Rentas, S., Marsh, E. D., Conlin, L. K., Tuluc, P.,Kutsche, K. and Flucher, B. E.. CACNA1I gain-of-function mutationsdifferentially affect channel gating and cause neurodevelopmentaldisorders.. Brain 144:2092-2106, 10.1093/brain/awab101, 2021.

Elaagouby, A. and Yuste, R.. Role of calcium electrogenesis inapical dendrites: generation of intrinsic oscillations by an axialcurrent. Journal of Computational Neuroscience 7:41-53, 1999.

ElBasiouny, S. M., Bennett, D. J. and Mushahwar, V. K.. Simulationof dendritic Ca(V)1.3 channels in cat lumbar motoneurons: spatialdistribution. Journal of Neurophysiology 94:3961-3974, 2005.

ElBasiouny, S. M., Bennett, D. J. and Mushahwar, V. K.. Simulationof Ca2+ persistent inward currents in spinal motoneurones: mode ofactivation and integration of synaptic inputs. Journal ofPhysiology 570:355-374, 2006.

ElBasiouny, S. M.. Development of modified cable models tosimulate accurate neuronal active behaviors. Journal of AppliedPhysiology 117:1243-1261, 10.1152/japplphysiol.00496.2014, 2014.

ElBasiouny, S. M., Amendola, J., Durand, J. and Heckman, C. J..Evidence from computer simulations for alterations in the membranebiophysical properties and dendritic processing of synaptic inputsin mutant superoxide dismutase-1 motoneurons. Journal ofNeuroscience 30:5544-5558, 10.1523/JNEUROSCI.0434-10.2010, 2010.

ElBasiouny, S. M. and Mushahwar, V. K.. Modulation of motoneuronalfiring behavior after spinal cord injury using intraspinalmicrostimulation current pulses: a modeling study. Journal ofApplied Physiology 103:276-286, 2007a.

ElBasiouny, S. M. and Mushahwar, V. K.. Suppressing theexcitability of spinal motoneurons by extracellularly appliedelectrical fields: insights from computer simulations. Journal ofApplied Physiology 103:1824-1836, 2007b.

Elbaz, M., Buterman, R. and Ezra Tsur, E.. NeuroConstruct-basedimplementation of structured-light stimulated retinal circuitry.BMC Neuroscience 21:28, 10.1186/s12868-020-00578-0, 2020.

El-Bizri, N., Kahlig, K. M., Shryock, J. C., George, Jr., A. L.,Belardinelli, L. and Rajamani, S.. Ranolazine block of humanNa(v)1.4 sodium channels and paramyotonia congenita mutants.Channels 5:161-172, 10.4161/chan.5.2.14851, 2011.

van Elburg, R. A. J. and van Ooyen, A.. A new measure forbursting. Neurocomputing 58-60:497-502,https://doi.org/10.1016/j.neucom.2004.01.086, 2004.

van Elburg, R. A. J. and van Ooyen, A.. Generalization of theevent-based Carnevale-Hines integration scheme forintegrate-and-fire models. Neural Computation 21:1913-1930,2009.

van Elburg, R. A. J. and van Ooyen, A.. Impact of dendritic sizeand dendritic topology on burst firing in pyramidal cells. PLoSComputational Biology 6:10.1371/journal.pcbi.1000781,10.1371/journal.pcbi.1000781, 2010.

Elgueta, C. and Bartos, M.. Dendritic inhibition differentiallyregulates excitability of dentate gyrus parvalbumin-expressinginterneurons and granule cells. Nature Communications 10:5561,10.1038/s41467-019-13533-3, 2019.

Elgueta, C., Köhler, J. and Bartos, M.. Persistent discharges indentate gyrus perisoma-inhibiting interneurons requirehyperpolarization-activated cyclic nucleotide-gated channelactivation. Journal of Neuroscience 35:4131-4139,10.1523/JNEUROSCI.3671-14.2015, 2015.

Ellender, T. J., Raimondo, J. V., Irkle, A., Lamsa, K. P. andAkerman, C. J.. Excitatory effects of parvalbumin-expressinginterneurons maintain hippocampal epileptiform activity viasynchronous afterdischarges. Journal of Neuroscience34:15208-15222, 10.1523/JNEUROSCI.1747-14.2014, 2014.

Emnett, C. M., Eisenman, L. N., Taylor, A. M., Izumi, Y.,Zorumski, C. F. and Mennerick, S.. Indistinguishable synapticpharmacodynamics of the N-methyl-D-aspartate receptor channelblockers memantine and ketamine. Molecular Pharmacology84:935-947, 10.1124/mol.113.089334, 2013.

Engel, D. and Jonas, P.. Presynaptic action potentialamplification by voltage-gated Na+ channels in hippocampal mossyfiber boutons. Neuron 45:405-417, 2005.

Engel, J., Schultens, H. A. and Schild, D.. Small conductancepotassium channels cause an activity-dependent spike frequencyadaptation and make the transfer function of neurons logarithmic.Biophysical Journal 76:1310-1319, 1999.

Enoki, R., Kiuchi, T., Koizumi, A., Sasaki, G., Kudo, Y. andMiyakawa, H.. NMDA receptor-mediated depolarizing after-potentialsin the basal dendrites of CA1 pyramidal neurons. NeuroscienceResearch 48:325-333, 2004.

Enrico, P., Migliore, M., Spiga, S., Mulas, G., Caboni, F. andDiana, M.. Morphofunctional alterations in ventral tegmental areadopamine neurons in acute and prolonged opiates withdrawal. Acomputational perspective. Neuroscience 322:195-207,10.1016/j.neuroscience.2016.02.006, 2016.

Erdi, P., Aradi, I. and Grobler, T.. Rhythmogenesis in singlecells and population models: olfactory bulb and hippocampus.Biosystems 40:45-53, 1997.

Eriksson, D., Fransén, E., Zilberter, Y. and Lansner, A.. Effectsof short-term synaptic plasticity in a local microcircuit on cellfiring. Neurocomputing 52-54:7-12, 2003.

Ermolyuk, Y. S., Alder, F. G., Surges, R., Pavlov, I. Y.,Timofeeva, Y., Kullmann, D. M. and Volynski, K. E.. Differentialtriggering of spontaneous glutamate release by P/Q-, N- and R-typeCa2+ channels. Nature Neuroscience 16:1754-1763,10.1038/nn.3563, 2013.

Esler, T. B., Maturana, M. I., Kerr, R. R., Grayden, D. B.,Burkitt, A. N. and Meffin, H.. Biophysical basis of the linearelectrical receptive fields of retinal ganglion cells. Journal ofNeural Engineering 15:055001, 10.1088/1741-2552/aacbaa, 2018.

Evans, B. D., Jarvis, S., Schultz, S. R. and Nikolic, K.. PyRhO: amultiscale optogenetics simulation platform. Frontiers inNeuroinformatics 10:8, 10.3389/fninf.2016.00008, 2016.

Ewart, T., Planas, J., Cremonesi, F., Langen, K., Schürmann, F.and Delalondre, F.. Neuromapp: a mini-application framework toimprove neural simulators. In: Lecture Notes in ComputerScience, edited by Kunkel, J., Yokota, R., Balaji, P. and Keyes,D.. Springer International Publishing, 2017, pp. 181-198.

Eyal, G., Mansvelder, H. D., de Kock, C. P. J. and Segev, I..Dendrites impact the encoding capabilities of the axon. Journalof Neuroscience 34:8063-8071, 10.1523/JNEUROSCI.5431-13.2014,2014.

Eyal, G., Verhoog, M. B., Testa-Silva, G., Deitcher, Y.,Benavides-Piccione, R., DeFelipe, J., de Kock, C. P. J.,Mansvelder, H. D. and Segev, I.. Human cortical pyramidal neurons:from spines to spikes via models. Frontiers in CellularNeuroscience 12:181, 10.3389/fncel.2018.00181, 2018.

Eyal, G., Verhoog, M. B., Testa-Silva, G., Deitcher, Y., Lodder,J. C., Benavides-Piccione, R., Morales, J., DeFelipe, J., de Kock,C. P., Mansvelder, H. D. and Segev, I.. Unique membrane propertiesand enhanced signal processing in human neocortical neurons.eLife 5:e16553, 10.7554/eLife.16553, 2016.

Ezra-Tsur, E., Amsalem, O., Ankri, L., Patil, P., Segev, I. andRivlin-Etzion, M.. Realistic retinal modeling unravels thedifferential role of excitation and inhibition to starburstamacrine cells in direction selectivity. PLoS ComputationalBiology 17:e1009754, 10.1371/journal.pcbi.1009754, 2021.

Fan, Y., Wei, X., Yi, G., Lu, M., Wang, J. and Deng, B..Asymptotic input-output relationship predicts electric fieldeffect on sublinear dendritic integration of AMPA synapses.Neural Computation :1-37, 10.1162/neco_a_01438, 2021.

Farahani, F., Kronberg, G., FallahRad, M., Oviedo, H. V. andParra, L. C.. Effects of direct current stimulation on synapticplasticity in a single neuron. Brain Stimulation 14:588-597,10.1016/j.brs.2021.03.001, 2021.

Fardet, T. and Levina, A.. Simple models including energy andspike constraints reproduce complex activity patterns andmetabolic disruptions. PLoS Computational Biology 16:e1008503,10.1371/journal.pcbi.1008503, 2020.

Farinella, M., Ruedt, D. T., Gleeson, P., Lanore, F. and Silver,R. A.. Glutamate-bound NMDARs arising from in vivo-like networkactivity extend spatio-temporal integration in a L5 corticalpyramidal cell model. PLoS Computational Biology 10:e1003590,10.1371/journal.pcbi.1003590, 2014.

Farisello, P., Boido, D., Nieus, T., Medrihan, L., Cesca, F.,Valtorta, F., Baldelli, P. and Benfenati, F.. Synaptic andextrasynaptic origin of the excitation/inhibition imbalance in thehippocampus of synapsin I/II/III knockout mice. Cerebral Cortex23:581-593, 10.1093/cercor/bhs041, 2013.

Farries, M. A. and Wilson, C. J.. Biophysical basis of the phaseresponse curve of subthalamic neurons with generalization to othercell types. Journal of Neurophysiology 108:1838-1855,10.1152/jn.00054.2012, 2012.

Farrow, K., Haag, J. and Borst, A.. Nonlinear, binocularinteractions underlying flow field selectivity of amotion-sensitive neuron. Nature Neuroscience 9:1312-1320, 2006.

Feetham, C. H., Nunn, N., Lewis, R., Dart, C. and Barrett-Jolley,R.. TRPV4 and K(Ca) ion channels functionally couple asosmosensors in the paraventricular nucleus. British Journal ofPharmacology 172:1753-1768, 10.1111/bph.13023, 2015.

Fellner, A., Stiennon, I. and Rattay, F.. Analysis of upperthreshold mechanisms of spherical neurons during extracellularstimulation. Journal of Neurophysiology 121:1315-1328,10.1152/jn.00700.2018, 2019.

Fellous, J. M., Rudolph, M., Destexhe, A. and Sejnowski, T. J..Synaptic background noise controls the input/outputcharacteristics of single cells in an in vitro model of in vivoactivity. Neuroscience 122:811-829, 2003.

Feng, B., Zhu, Y., La, J.-H., Wills, Z. P. and Gebhart, G. F..Experimental and computational evidence for an essential role ofNaV1.6 in spike initiation at stretch-sensitive colorectalafferent endings. Journal of Neurophysiology 113:2618-2634,10.1152/jn.00717.2014, 2015.

Feng, F., Headley, D. B., Amir, A., Kanta, V., Chen, Z., Paré, D.and Nair, S. S.. Gamma oscillations in the basolateral amygdala:biophysical mechanisms and computational consequences. eNeuro6:ENEURO.0388-18.2018, 10.1523/ENEURO.0388-18.2018, 2019.

Feng, F., Headley, D. B. and Nair, S. S.. Model neocorticalmicrocircuit supports beta and gamma rhythms [Online]. Proc. 10thInt. IEEE/EMBS Conf. Neural Engineering :91-94,10.1109/NER49283.2021.9441199, 2021.

Feng, F., Samarth, P., Paré, D. and Nair, S. S.. Mechanismsunderlying the formation of the amygdalar fear memory trace: acomputational perspective. Neuroscience 322:370-376,10.1016/j.neuroscience.2016.02.059, 2016.

Feng, H. F.. Is the integrate-and-fire model good enough? areview. Neural Networks 14:955-975, 2001.

Feng, J. F. and Zhang, P.. Behavior of integrate-and-fire andHodgkin-Huxley models with correlated inputs. Physical Review E63:051902, 2001.

Fenton, A. A., Lytton, W. W., Barry, J. M., Lenck-Santini, P.-P.,Zinyuk, L. E., Kubík, S., Bures, J., Poucet, B., Muller, R. U. andOlypher, A. V.. Attention-like modulation of hippocampus placecell discharge. Journal of Neuroscience 30:4613-4625,10.1523/JNEUROSCI.5576-09.2010, 2010.

Ferdous, Z. I., Yu, A., Zeng, Y., Guo, X., Yan, Z. andBerdichevsky, Y.. Efficient and accurate computational model ofneuron with spike frequency adaptation. Annual InternationalConference of the IEEE Engineering in Medicine and BiologySociety 2021:6496-6499, 10.1109/EMBC46164.2021.9629799, 2021.

Ferguson, K. A., Huh, C. Y. L., Amilhon, B., Manseau, F.,Williams, S. and Skinner, F. K.. Network models provide insightsinto how oriens-lacunosum-moleculare and bistratified cellinteractions influence the power of local hippocampal CA1 thetaoscillations. Frontiers in Systems Neuroscience 9:110,10.3389/fnsys.2015.00110, 2015.

Fernández de Sevilla, D., Fuenzalida, M., Porto Pazos, A. B. andBuño, W.. Selective shunting of the NMDA EPSP component by theslow afterhyperpolarization in rat CA1 pyramidal neurons. Journalof Neurophysiology 97:3242-3255, 2007.

Ferrante, M. and Ascoli, G. A.. Distinct and synergisticfeedforward inhibition of pyramidal cells by basket andbistratified interneurons. Frontiers in Cellular Neuroscience9:439, 10.3389/fncel.2015.00439, 2015.

Ferrante, M., Blackwell, K. T., Migliore, M. and Ascoli, G. A..Computational models of neuronal biophysics and thecharacterization of potential neuropharmacological targets..Current Medicinal Chemistry 15:2456-2471, 2008.

Ferrante, M., Migliore, M. and Ascoli, G. A.. Feed-forwardinhibition as a buffer of the neuronal input-output relation..Proceedings of the National Academy of Sciences of the UnitedStates of America 106:18004-18009, 10.1073/pnas.0904784106, 2009.

Ferrante, M., Migliore, M. and Ascoli, G. A.. Functional impact ofdendritic branch-point morphology. Journal of Neuroscience33:2156-2165, 10.1523/JNEUROSCI.3495-12.2013, 2013.

Ferrarese, L., Jouhanneau, J.-S., Remme, M. W. H., Kremkow, J.,Katona, G., Rózsa, B., Schreiber, S. and Poulet, J. F. A..Dendrite-specific amplification of weak synaptic input duringnetwork activity invivo. Cell Reports 24:3455-3465.e5,10.1016/j.celrep.2018.08.088, 2018.

Ferrario, A., Merrison-Hort, R., Soffe, S. R. and Borisyuk, R..Structural and functional properties of a probabilistic model ofneuronal connectivity in a simple locomotor network. eLife7:e33281, 10.7554/eLife.33281, 2018.

Ferrario, A., Palyanov, A., Koutsikou, S., Li, W., Soffe, S.,Roberts, A. and Borisyuk, R.. From decision to action: detailedmodelling of frog tadpoles reveals neuronal mechanisms ofdecision-making and reproduces unpredictable swimming movements inresponse to sensory signals. PLoS Computational Biology17:e1009654, 10.1371/journal.pcbi.1009654, 2021.

Fietkiewicz, C., Loparo, K. A. and Wilson, C. G.. Drive latenciesin hypoglossal motoneurons indicate developmental change in thebrainstem respiratory network. Journal of Neural Engineering8:065011, 10.1088/1741-2560/8/6/065011, 2011.

Fietkiewicz, C., Shafer, G. O., Platt, E. A. and Wilson, C. G..Variability in respiratory rhythm generation: In vitro and insilico models. Communications in Nonlinear Science and NumericalSimulation 32:158 - 168,http://dx.doi.org/10.1016/j.cnsns.2015.08.018, 2016.

Fineberg, J. D., Ritter, D. M. and Covarrubias, M..Modeling-independent elucidation of inactivation pathways inrecombinant and native A-type Kv channels. Journal of GeneralPhysiology 140:513-527, 10.1085/jgp.201210869, 2012.

Finelli, L. A., Haney, S., Bazhenov, M., Stopfer, M. andSejnowski, T. J.. Synaptic learning rules and sparse coding in amodel sensory system. PLoS Computational Biology 4:e1000062,10.1371/journal.pcbi.1000062, 2008.

Fink, C. G., Gliske, S., Catoni, N. and Stacey, W. C.. Networkmechanisms generating abnormal and normal hippocampalhigh-frequency oscillations: a computational analysis. eNeuro2:ENEURO.0024-15.2015, 10.1523/ENEURO.0024-15.2015, 2015.

Finn, K. E., Zander, H. J., Graham, R. D., Lempka, S. F. andWeiland, J. D.. A patient-specific computational framework for theArgus ii implant. IEEE Open Journal of Engineering in Medicineand Biology 1:190-196, 10.1109/ojemb.2020.3001563, 2020.

Fiorillo, C. D., Kim, J. K. and Hong, S. Z.. The meaning of spikesfrom the neuron’s point of view: predictive homeostasis generatesthe appearance of randomness. Frontiers in ComputationalNeuroscience 8:49, 10.3389/fncom.2014.00049, 2014.

Fischer, B. J. and Westover, M. B.. The neural multiple accesschannel. Neurocomputing 52-54:511-518, 2003.

Fleidervish, I. A., Lasser-Ross, N., Gutnick, M. J. and Ross, W.N.. Na+ imaging reveals little difference in actionpotential-evoked Na+ influx between axon and soma. NatureNeuroscience 13:852-860, 10.1038/nn.2574, 2010.

Fleidervish, I. A. and Libman, L.. How cesium dialysis affects thepassive properties of pyramidal neurons: implications for voltageclamp studies of persistent sodium current. New Journal ofPhysics 10:035001, 2008.

Fleidervish, I. A., Libman, L., Katz, E. and Gutnick, M. J..Endogenous polyamines regulate cortical neuronal excitability byblocking voltage-gated Na+ channels. Proceedings of the NationalAcademy of Sciences of the United States of America105:18994-18999, 2008.

Fleidervish, I. A., Friedman, A. and Gutnick, M. J.. Slowinactivation of Na+ current and slow cumulative spike adaptationin mouse and guinea-pig neocortical neurones in slices. Journalof Physiology 493:83-97, 1996.

Fleming, J. E., Dunn, E. and Lowery, M. M.. Simulation ofclosed-loop deep brain stimulation control schemes for suppressionof pathological beta oscillations in Parkinson’s disease.Frontiers in Neuroscience 14:166, 10.3389/fnins.2020.00166,2020a.

Fleming, J. E., Orłowski, J., Lowery, M. M. and Chaillet, A..Self-tuning deep brain stimulation controller for suppression ofbeta oscillations: analytical derivation and numerical validation.Frontiers in Neuroscience 14:639, 10.3389/fnins.2020.00639,2020b.

Fletcher, L. N. and Williams, S. R.. Neocortical topology governsthe dendritic integrative capacity of layer 5 pyramidal neurons.Neuron 101:76-90.e4, 10.1016/j.neuron.2018.10.048, 2019.

Flores-Barrera, E., Laville, A., Plata, V., Tapia, D., Bargas, J.and Galarraga, E.. Inhibitory contribution to suprathresholdcorticostriatal responses: an experimental and modeling study.Cellular and Molecular Neurobiology 29:719-731, 2009.

Fohlmeister, J. F. and Miller, R. F.. Impulse encoding mechanismsof ganglion cells in the tiger salamander retina. Journal ofNeurophysiology 78:1935-1947, 1997a.

Fohlmeister, J. F. and Miller, R. F.. Mechanisms by which cellgeometry controls repetitive impulse firing in retinal ganglioncells. Journal of Neurophysiology 78:1948-1964, 1997b.

Fohlmeister, J. F.. Voltage gating by molecular subunits of Na+and K+ ion channels: higher-dimensional cubic kinetics, rateconstants, and temperature. Journal of Neurophysiology113:3759-3777, 10.1152/jn.00551.2014, 2015.

Fohlmeister, J. F., Cohen, E. D. and Newman, E. A.. Mechanisms anddistribution of ion channels in retinal ganglion cells: usingtemperature as an independent variable. Journal ofNeurophysiology 103:1357-1374, 10.1152/jn.00123.2009, 2010.

Foldy, C., Aradi, I., Howard, A. and Soltesz, I.. Diversity beyondvariance: modulation of firing rates and network coherence byGABAergic subpopulations. European Journal of Neuroscience19:119-130, 2003.

Foley, J., Nguyen, H., Bennett, C. B. and Muschol, M.. Potassiumaccumulation as dynamic modulator of neurohypophysialexcitability. Neuroscience 169:65-73,10.1016/j.neuroscience.2010.04.049, 2010.

Fontaine, B., Peña, J. L. and Brette, R.. Spike-thresholdadaptation predicted by membrane potential dynamics in vivo. PLoSComputational Biology 10:e1003560, 10.1371/journal.pcbi.1003560,2014.

Ford, J. B., Ganguly, M., Poorman, M. E., Grissom, W. A., Jenkins,M. W., Chiel, H. J. and Jansen, E. D.. Identifying the role ofblock length in neural heat block to reduce temperatures duringinfrared neural inhibition. Lasers in Surgery and Medicineonline:ahead of print, 10.1002/lsm.23139, 2019.

Formento, E., Minassian, K., Wagner, F., Mignardot, J. B., LeGoff-Mignardot, C. G., Rowald, A., Bloch, J., Micera, S.,Capogrosso, M. and Courtine, G.. Electrical spinal cordstimulation must preserve proprioception to enable locomotion inhumans with spinal cord injury. Nature Neuroscience21:1728-1741, 10.1038/s41593-018-0262-6, 2018.

Forrest, M. D.. Mathematical model of bursting in dissociatedpurkinje neurons. PLoS ONE 8:e68765,10.1371/journal.pone.0068765, 2013.

Forrest, M. D., Wall, M. J., Press, D. A. and Feng, J.. Thesodium-potassium pump controls the intrinsic firing of thecerebellar Purkinje neuron. PLoS ONE 7:e51169,10.1371/journal.pone.0051169, 2012.

Fortier, P. A.. Effects of electrical coupling among layer 4inhibitory interneurons on contrast-invariant orientation tuning.Experimental Brain Research 208:127-138,10.1007/s00221-010-2483-0, 2011.

Fortier, P. A. and Bray, C.. Influence of asymmetric attenuationof single and paired dendritic inputs on summation of synapticpotentials and initiation of action potentials. Neuroscience236:195-209, 10.1016/j.neuroscience.2012.11.060, 2013.

Foubert, L., Bennequin, D., Thomas, M.-A., Droulez, J. andMilleret, C.. Interhemispheric synchrony in visual cortex andabnormal postnatal visual experience. Frontiers in Bioscience15:681-707, 10.2741/3640, 2010.

Foust, A. J., Yu, Y., Popovic, M., Zecevic, D. and McCormick, D.A.. Somatic membrane potential and Kv1 channels control spikerepolarization in cortical axon collaterals and presynapticboutons. Journal of Neuroscience 31:15490-15498,10.1523/JNEUROSCI.2752-11.2011, 2011.

Foutz, T. J., Ackermann, Jr, D. M., Kilgore, K. L. and McIntyre,C. C.. Energy efficient neural stimulation: coupling circuitdesign and membrane biophysics. PLoS ONE 7:e51901,10.1371/journal.pone.0051901, 2012a.

Foutz, T. J., Arlow, R. L. and McIntyre, C. C.. Theoreticalprinciples underlying optical stimulation of a channelrhodopsin-2positive pyramidal neuron. Journal of Neurophysiology107:3235-3245, 10.1152/jn.00501.2011, 2012b.

Foutz, T. J. and McIntyre, C. C.. Evaluation of novel stimuluswaveforms for deep brain stimulation. Journal of NeuralEngineering 7:066008, 10.1088/1741-2560/7/6/066008, 2010.

Francavilla, R., Guet-McCreight, A., Amalyan, S., Hui, C. W.,Topolnik, D., Michaud, F., Marino, B., Tremblay, M.-È., Skinner,F. K. and Topolnik, L.. Alterations in intrinsic and synapticproperties of hippocampal Ca1 VIP interneurons during aging.Frontiers in Cellular Neuroscience 14:554405,10.3389/fncel.2020.554405, 2020.

Franke, F., Natora, M., Meier, P., Hagen, E., Pettersen, K. H.,Linden, H., Einevoll, G. T. and Obermayer, K.. An automated onlinepositioning system and simulation environment for multi-electrodesin extracellular recordings. Annual International Conference ofthe IEEE Engineering in Medicine and Biology Society2010:593-597, 10.1109/IEMBS.2010.5626631, 2010.

Franks, K. M., Bartol, T. M. and Sejnowski, T. J.. An MCell modelof calcium dynamics and frequency-dependence of calmodulinactivation in dendritic spines. Neurocomputing 38:9-16, 2001.

Franks, K. M. and Sejnowski, T. J.. Complexity of calciumsignaling in synaptic spines. Bioessays 24:1130-1144, 2002.

Fransén, E.. A synapse which can switch from inhibitory toexcitatory and back. Neurocomputing 65-66:39-45, 2005.

Fransén, E.. Neural response profile design: Reducingepileptogenic activity by modifying neuron responses tosynchronized input using novel potassium channels obtained byparameter search optimization. Neurocomputing 70:1630-1634,2007.

Fransén, E. and Tigerholm, J.. Role of A-type potassium currentsin excitability, network synchronicity, and epilepsy.Hippocampus 20:877-887, 10.1002/hipo.20694, 2010.

Freeman, D. K., Jeng, J. S., Kelly, S. K., Hartveit, E. and Fried,S. I.. Calcium channel dynamics limit synaptic release in responseto prosthetic stimulation with sinusoidal waveforms. Journal ofNeural Engineering 8:046005, 10.1088/1741-2560/8/4/046005, 2011.

Frey, U., Egert, U., Heer, F., Hafizovic, S. and Hierlemann, A..Microelectronic system for high-resolution mapping ofextracellular electric fields applied to brain slices. Biosensorsand Bioelectronics 24:2191-2198, 2009.

Friedrich, P., Vella, M., Gulyás, A. I., Freund, T. F. and Káli,S.. A flexible, interactive software tool for fitting theparameters of neuronal models. Frontiers in Neuroinformatics8:63, 10.3389/fninf.2014.00063, 2014.

Frost Nylén, J., Carannante, I., Grillner, S. and HellgrenKotaleski, J.. Reciprocal interaction between striatal cholinergicand low-threshold spiking interneurons - a computational study.European Journal of Neuroscience 53:2135-2148,10.1111/ejn.14854, 2021a.

Frost Nylén, J., Hjorth, J. J. J., Grillner, S. and HellgrenKotaleski, J.. Dopaminergic and cholinergic modulation of largescale networks in silico using Snudda. Frontiers in NeuralCircuits 15:748989, 10.3389/fncir.2021.748989, 2021b.

Fujita, T., f*ckai, T. and Kitano, K.. Influences of membraneproperties on phase response curve and synchronization stabilityin a model globus pallidus neuron.. Journal of ComputationalNeuroscience 32:539-553, 10.1007/s10827-011-0368-2, 2012.

Gabbiani, F., Midtgaard, J. and Knöpfel, T.. Synaptic integrationin a model of cerebellar granule cells. Journal ofNeurophysiology 72:999-1009, 1994.

Gaines, J. L., Finn, K. E., Slopsema, J. P., Heyboer, L. A. andPolasek, K. H.. A model of motor and sensory axon activation inthe median nerve using surface electrical stimulation. Journal ofComputational Neuroscience 45:29-43, 10.1007/s10827-018-0689-5,2018.

Gal, E., Amsalem, O., Schindel, A., London, M., Schürmann, F.,Markram, H. and Segev, I.. The role of hub neurons in modulatingcortical dynamics. Frontiers in Neural Circuits 15:718270,10.3389/fncir.2021.718270, 2021.

Galati, D. F., Hiester, B. G. and Jones, K. R.. Computersimulations support a morphological contribution to BDNFenhancement of action potential generation. Frontiers in CellularNeuroscience 10:209, 10.3389/fncel.2016.00209, 2016.

Gallego-Delgado, P., James, R., Browne, E., Meng, J., Umashankar,S., Tan, L., Picon, C., Mazarakis, N. D., Faisal, A. A., Howell,O. W. and Reynolds, R.. Neuroinflammation in the normal-appearingwhite matter (NAWM) of the multiple sclerosis brain causesabnormalities at the nodes of Ranvier. PLoS Biology 18:e3001008,10.1371/journal.pbio.3001008, 2020.

Galloni, A. R., Laffere, A. and Rancz, E.. Apical length governscomputational diversity of layer 5 pyramidal neurons. eLife910.7554/eLife.55761, 2020.

Gamal, M., Mousa, M. H., Eldawlatly, S. and Elbasiouny, S. M..In-silico development and assessment of a Kalman filter motordecoder for prosthetic hand control. Computers in Biology andMedicine 132:104353, 10.1016/j.compbiomed.2021.104353, 2021.

Ganguly, M., Jenkins, M. W., Jansen, E. D. and Chiel, H. J..Thermal block of action potentials is primarily due tovoltage-dependent potassium currents: a modeling study.. Journalof neural engineering 16:036020, 10.1088/1741-2552/ab131b, 2019.

Gao, P. P., Graham, J. W., Zhou, W.-L., Jang, J., Angulo, S.,Dura-Bernal, S., Hines, M., Lytton, W. W. and Antic, S. D.. Localglutamate-mediated dendritic plateau potentials change the stateof the cortical pyramidal neuron. Journal of Neurophysiology125:23-42, 10.1152/jn.00734.2019, 2021.

García-Grajales, J. A., Rucabado, G., García-Dopico, A., Peña,J.-M. and Jérusalem, A.. Neurite, a finite difference large scaleparallel program for the simulation of electrical signalpropagation in neurites under mechanical loading. PLoS ONE10:e0116532, 10.1371/journal.pone.0116532, 2015.

Garcia-Lazaro, J. A., Ho, S. S. M., Nair, A. and Schnupp, J. W.H.. Shifting and scaling adaptation to dynamic stimuli insomatosensory cortex. European Journal of Neuroscience26:2359-2368, 2007.

Garden, D. L., Dodson, P. D., O’Donnell, C., White, M. D. andNolan, M. F.. Tuning of synaptic integration in the medialentorhinal cortex to the organization of grid cell firing fields.Neuron 60:875-889, 2008.

Garg, J., Lakhani, A. and Dave, V.. Effects of the involvement ofcalcium channels on neuronal hyperexcitability related toalzheimer’s disease: a computational model. Neurophysiology52:334-347, 10.1007/s11062-021-09890-9, 2020.

Gartland, A. J. and Detwiler, P. B.. Correlated variations in theparameters that regulate dendritic calcium signaling in mouseretinal ganglion cells. Journal of Neuroscience 31:18353-18363,10.1523/JNEUROSCI.4212-11.2011, 2011.

Gasparini, S., Migliore, M. and Magee, J. C.. On the initiationand propagation of dendritic spikes in CA1 pyramidal neurons.Journal of Neuroscience 24:11046-11056, 2004.

Ge, R., Qian, H., Chen, N. and Wang, J.-H.. Input-dependentsubcellular localization of spike initiation between soma and axonat cortical pyramidal neurons. Molecular Brain 7:26,10.1186/1756-6606-7-26, 2014.

Ge, R., Qian, H. and Wang, J.-H.. Physiological synaptic signalsinitiate sequential spikes at soma of cortical pyramidal neurons.Molecular Brain 4:19, 10.1186/1756-6606-4-19, 2011.

Geerts, H., Spiros, A. and Roberts, P.. Impact of amyloid-betachanges on cognitive outcomes in Alzheimer’s disease: analysis ofclinical trials using a quantitative systems pharmacology model.Alzheimer’s Research & Therapy 10{10.1186/s13195-018-0343-5},2018.

Geerts, H., Spiros, A., Roberts, P. and Carr, R.. Quantitativesystems pharmacology as an extension of PK/PD modeling in CNSresearch and development. Journal of Pharmaco*kinetics andPharmacodynamics 40:257-265, 10.1007/s10928-013-9297-1, 2013.

Geerts, H., Spiros, A., Roberts, P., Twyman, R., Alphs, L. andGrace, A. A.. Blinded prospective evaluation of computer-basedmechanistic schizophrenia disease model for predicting drugresponse. PLoS ONE 7:e49732, 10.1371/journal.pone.0049732, 2012.

Geiger, J. R. P., Lübke, J., Roth, A., Frotscher, M. and Jonas,P.. Submillisecond AMPA receptor-mediated signaling at a principalneuron-interneuron synapse. Neuron 18:1009-1023, 1997.

Geiger, J. R. P., Roth, A., Taskin, B. and Jonas, P..Glutamate-mediated synaptic excitation of cortical interneurons.In: Ionotropic Glutamate Receptors in the CNS, edited by Jonas,P. and Monyer, H.. Berlin: Berlin, Springer-Verlag, 1999, pp.363-398.

Gemin, O., Serna, P., Zamith, J., Assendorp, N., Fossati, M.,Rostaing, P., Triller, A. and Charrier, C.. Unique properties ofdually innervated dendritic spines in pyramidal neurons of thesomatosensory cortex uncovered by 3D correlative light andelectron microscopy. PLoS Biology 19:e3001375,10.1371/journal.pbio.3001375, 2021.

Genet, S., Sabarly, L., Guigon, E., Berry, H. and Delord, B..Dendritic signals command firing dynamics in a mathematical modelof cerebellar Purkinje cells. Biophysical Journal 99:427-436,10.1016/j.bpj.2010.04.056, 2010.

Gentiletti, D., Suffczynski, P., Gnatkovsky, V. and de Curtis, M..Changes of ionic concentrations during seizure transitions–amodeling study. International Journal of Neural Systems27:1750004, 2017.

George, M. S., Abbott, L. F. and Siegelbaum, S. A.. HCNhyperpolarization-activated cation channels inhibit EPSPs byinteractions with M-type K(+) channels. Nature Neuroscience12:577-584, 10.1038/nn.2307, 2009.

Georgiadis, K., Wray, S., Ourselin, S., Warren, J. D. and Modat,M.. Computational modelling of pathogenic protein spread inneurodegenerative diseases. PLoS ONE 13:e0192518,10.1371/journal.pone.0192518, 2018.

Gerlei, K., Passlack, J., Hawes, I., Vandrey, B., Stevens, H.,Papastathopoulos, I. and Nolan, M. F.. Grid cells are modulated bylocal head direction. Nature Communications 11:4228,10.1038/s41467-020-17500-1, 2020.

Gertler, T. S., Chan, C. S. and Surmeier, D. J.. Dichotomousanatomical properties of adult striatal medium spiny neurons.Journal of Neuroscience 28:10814-10824, 2008.

Gherardi, K. and Töreyin, H.. A cortical extracellular simulationmodel to create synthetic neural recordings [Online]. 2021 10thInternational IEEE/EMBS Conference on Neural Engineering:465-468, 10.1109/NER49283.2021.9441104, 2021.

Gibson, J. R., Beierlein, M. and Connors, B. W.. Functionalproperties of electrical synapses between inhibitory interneuronsof neocortical layer 4. Journal of Neurophysiology 93:467-480,2005.

Gidon, A. and Segev, I.. Spike-timing-dependent synapticplasticity and synaptic democracy in dendrites. Journal ofNeurophysiology 101:3226-3234, 2009.

Gidon, A. and Segev, I.. Principles governing the operation ofsynaptic inhibition in dendrites.. Neuron 75:330-341,10.1016/j.neuron.2012.05.015, 2012.

Gidon, A., Zolnik, T. A., Fidzinski, P., Bolduan, F., Papoutsi,A., Poirazi, P., Holtkamp, M., Vida, I. and Larkum, M. E..Dendritic action potentials and computation in human layer 2/3cortical neurons. Science 367:83-87, 10.1126/science.aax6239,2020.

Gillies, A. and Willshaw, D.. Membrane channel interactionsunderlying rat subthalamic projection neuron rhythmic and burstingactivity. Journal of Neurophysiology 95:2352-2365, 2006.

Ginebaugh, S. P., Cyphers, E. D., Lanka, V., Ortiz, G., Miller, E.W., Laghaei, R. and Meriney, S. D.. The frog motor nerve terminalhas very brief action potentials and three electrical regionspredicted to differentially control transmitter release. Journalof Neuroscience 40:3504-3516, 10.1523/JNEUROSCI.2415-19.2020,2020.

Gire, D. H., Franks, K. M., Zak, J. D., Tanaka, K. F., Whitesell,J. D., Mulligan, A. A., Hen, R. and Schoppa, N. E.. Mitral cellsin the olfactory bulb are mainly excited through a multistepsignaling path. Journal of Neuroscience 32:2964-2975,10.1523/JNEUROSCI.5580-11.2012, 2012.

Glasauer, S. and Rössert, C.. Modelling drug modulation ofnystagmus. Progress in Brain Research 171:527-534, 2008.

Gleeson, P., Cantarelli, M., Marin, B., Quintana, A., Earnshaw,M., Sadeh, S., Piasini, E., Birgiolas, J., Cannon, R. C.,Cayco-Gajic, N. A., Crook, S., Davison, A. P., Dura-Bernal, S.,Ecker, A., Hines, M. L., Idili, G., Lanore, F., Larson, S. D.,Lytton, W. W., Majumdar, A., McDougal, R. A., Sivagnanam, S.,Solinas, S., Stanislovas, R., van Albada, S. J., van Geit, W. andSilver, R. A.. Open Source Brain: a collaborative resource forvisualizing, analyzing, simulating, and developing standardizedmodels of neurons and circuits. Neuron 103:395-411.e5,10.1016/j.neuron.2019.05.019, 2019.

Gleeson, P., Crook, S., Cannon, R. C., Hines, M. L., Billings, G.O., Farinella, M., Morse, T. M., Davison, A. P., Ray, S., Bhalla,U. S., Barnes, S. R., Dimitrova, Y. D. and Silver, R. A.. NeuroML:a language for describing data driven models of neurons andnetworks with a high degree of biological detail. PLoSComputational Biology 6:e1000815, 10.1371/journal.pcbi.1000815,2010a.

Gleeson, P., Silver, R. A. and Steuber, V.. Computer simulationenvironments. In: Hippocampal Microcircuits, edited byCutsuridis, V., Graham, B., Cobb, S. and Vida, I.. Springer,2010b, pp. 593-609.

Gleeson, P., Steuber, V. and Silver, R. A.. neuroConstruct: a toolfor modeling networks of neurons in 3D space. Neuron 54:219-235,2007.

Go, M. A., Choy, J. M. C., Colibaba, A. S., Redman, S., Bachor,H.-A., Stricker, C. and Daria, V. R.. Targeted pruning of aneuron’s dendritic tree via femtosecond laser dendrotomy.Scientific Reports 6:19078, 10.1038/srep19078, 2016.

Goetz, L., Roth, A. and Häusser, M.. Active dendrites enablestrong but sparse inputs to determine orientation selectivity.Proceedings of the National Academy of Sciences of the UnitedStates of America 11810.1073/pnas.2017339118, 2021.

Goffredo, M., Schmid, M., Conforto, S., Bilotti, F., Palma, C.,Vegni, L. and D’Alessio, T.. A two-step model to optimisetranscutaneous electrical stimulation of the human upper arm.Compel 33:1329-1345, 10.1108/COMPEL-04-2013-0118, 2014.

Gold, C., Girardin, C. C., Martin, K. A. C. and Koch, C..High-amplitude positive spikes recorded extracellularly in catvisual cortex.. Journal of Neurophysiology 102:3340-3351,10.1152/jn.91365.2008, 2009.

Gold, C., Henze, D. A. and Koch, C.. Using extracellular actionpotential recordings to constrain compartmental models. Journalof Computational Neuroscience 23:39-58, 2007.

Gold, C., Henze, D. A., Koch, C. and Buzsaki, G.. On the origin ofthe extracellular action potential waveform: a modeling study.Journal of Neurophysiology 95:3113-3128, 2006.

Goldfarb, M., Schoorlemmer, J., Williams, A., Diwakar, S., Wang,C., Huan, X., Giza, J., Tchetchik, D., Kelley, K., Vega, A.,Matthews, G., Rossi, P., Ornitz, D. M. and D’Angelo, E..Fibroblast growth factor hom*ologous factors control neuronalexcitability through modulation of voltage-gated sodium channels.Neuron 55:449-463, 2007.

Golding, N. L., Kath, W. L. and Spruston, N.. Dichotomy ofaction-potential backpropagation in CA1 pyramidal neurondendrites. Journal of Neurophysiology 86:2998-3010, 2001.

Golding, N. L., Mickus, T. J., Katz, Y., Kath, W. L. and Spruston,N.. Factors mediating powerful voltage attenuation along CA1pyramidal neuron dendrites. Journal of Physiology 568:69-82,2005.

Goldstein, R. H., Barkai, O., Íñigo-Portugués, A., Katz, B., Lev,S. and Binshtok, A. M.. Location and plasticity of the sodiumspike initiation zone in nociceptive terminals invivo. Neuron102:801-812.e5, 10.1016/j.neuron.2019.03.005, 2019.

Golestanirad, L., Gale, J. T., Manzoor, N. F., Park, H.-J., Glait,L., Haer, F., Kaltenbach, J. A. and Bonmassar, G.. Solenoidalmicromagnetic stimulation enables activation of axons withspecific orientation. Frontiers in Physiology 9:724,10.3389/fphys.2018.00724, 2018.

Golestanirad, L., Izquierdo, A. P., Graham, S. J., Mosig, J. R.and Pollo, C.. Effect of realistic modeling of deep brainstimulation on the prediction of volume of activated tissue.Progress In Electromagnetics Research 126:1-16,10.2528/PIER12013108, 2012.

Gomes, J.-M., Bedard, C., Valtcheva, S., Nelson, M., Khokhlova,V., Pouget, P., Venance, L., Bal, T. and Destexhe, A..Intracellular impedance measurements reveal non-ohmic propertiesof the extracellular medium around neurons. Biophysical Journal110:234-246, 10.1016/j.bpj.2015.11.019, 2016.

Gómez González, J. F., Mel, B. W. and Poirazi, P.. Distinguishinglinear vs. non-linear integration in CA1 radial oblique dendrites:it’s about time. Frontiers in Computational Neuroscience 5:44,10.3389/fncom.2011.00044, 2011.

Gomez, L., Budelli, R. and Pakdaman, K.. Dynamical behavior of apacemaker neuron model with fixed delay stimulation. PhysicalReview E 64:061910, 2001.

González, A., Ugarte, G., Restrepo, C., Herrera, G., Piña, R.,Gómez-Sánchez, J. A., Pertusa, M., Orio, P. and Madrid, R.. Roleof the excitability brake potassium current IKD in cold allodyniainduced by chronic peripheral nerve injury. Journal ofNeuroscience 37:3109-3126, 10.1523/JNEUROSCI.3553-16.2017, 2017.

Gonzalez-Perez, V., Neely, A., Tapia, C., Gonzalez-Gutierrez, G.,Contreras, G., Orio, P., Lagos, V., Rojas, G., Estevez, T., Stack,K. and Naranjo, D.. Slow inactivation in shaker K channels isdelayed by intracellular tetraethylammonium. Journal of GeneralPhysiology 132:633-650, 2008.

Goodliffe, J. W., Song, H., Rubakovic, A., Chang, W., Medalla, M.,Weaver, C. M. and Luebke, J. I.. Differential changes to D1 and D2medium spiny neurons in the 12-month-old Q175(+/-) mouse model ofHuntington’s Disease. PLoS ONE 1310.1371/journal.pone.0200626,2018.

Gorin, M., Tsitoura, C., Kahan, A., Watznauer, K., Drose, D. R.,Arts, M., Mathar, R., O’Connor, S., Hanganu-Opatz, I. L.,Ben-Shaul, Y. and Spehr, M.. Interdependent conductances driveinfraslow intrinsic rhythmogenesis in a subset of accessoryolfactory bulb projection neurons. Journal of Neuroscience36:3127-3144, 10.1523/JNEUROSCI.2520-15.2016, 2016.

Goriounova, N. A., Heyer, D. B., Wilbers, R., Verhoog, M. B.,Giugliano, M., Verbist, C., Obermayer, J., Kerkhofs, A., Smeding,H., Verberne, M., Idema, S., Baayen, J. C., Pieneman, A. W., deKock, C. P., Klein, M. and Mansvelder, H. D.. Large and fast humanpyramidal neurons associate with intelligence. eLife 7:e41714,10.7554/eLife.41714, 2018.

Goudar, V. and Buonomano, D. V.. A model of order-selectivitybased on dynamic changes in the balance of excitation andinhibition produced by short-term synaptic plasticity. Journal ofNeurophysiology 113:509-523, 10.1152/jn.00568.2014, 2015.

Gouwens, N. W. and Wilson, R. I.. Signal propagation in Drosophilacentral neurons. Journal of Neuroscience 29:6239-6249, 2009.

Gouwens, N. W., Berg, J., Feng, D., Sorensen, S. A., Zeng, H.,Hawrylycz, M. J., Koch, C. and Arkhipov, A.. Systematic generationof biophysically detailed models for diverse cortical neurontypes. Nature Communications 9:710, 10.1038/s41467-017-02718-3,2018.

Gow, A. and Devaux, J.. A model of tight junction function incentral nervous system myelinated axons. Neuron Glia Biology4:307-317, 10.1017/S1740925X09990391, 2008.

Goyer, D., Kurth, S., Gillet, C., Keine, C., Rübsamen, R. andKuenzel, T.. Slow cholinergic modulation of spike probability inultra-fast time-coding sensory neurons. eNeuro3:ENEURO.0186-16.2016, 10.1523/ENEURO.0186-16.2016, 2016.

Gradwohl, G. and Grossman, Y.. Dendritic voltage dependentconductances increase the excitatory synaptic response and itspostsynaptic inhibition in a reconstructed alpha-motoneuron: Acomputer model. Neurocomputing 38:223-229, 2001.

Gradwohl, G. and Grossman, Y.. Analysis of dendritic distributionof voltage-dependent channels effects on EPSP and its reciprocalinhibition in alpha-motoneurons: computer model. Neurocomputing58-60:417-422, 2004.

Gradwohl, G. and Grossman, Y.. A theoretical computer model ofcellular modification associated with olfactory learning in therat piriform cortex. Neurocomputing 65:549-555, 2005.

Gradwohl, G. and Grossman, Y.. Excitatory and inhibitory synapticinputs are modulated by the spatial distribution of dendriticvoltage-dependent channels: Modelling in realisticalpha-motoneuron. Neurocomputing 70:1680-1684, 2007.

Gradwohl, G. and Grossman, Y.. Analysis of the interaction betweenthe dendritic conductance density and activated area in modulatingalpha-motoneuron EPSP: statistical computer model. NeuralComputation 20:1385-1410, 2008.

Gradwohl, G. and Grossman, Y.. Statistical computer model analysisof the reciprocal and recurrent inhibitory postsynaptic potentialsin alpha-motoneurons. Neural Computation 22:1764-1785, 2010.

Gradwohl, G. and Grossman, Y.. Statistical computer model analysisof the reciprocal and recurrent inhibitions of the Ia-EPSP inα-motoneurons. Neural Computation 25:75-100,10.1162/NECO_a_00375, 2013.

Gradwohl, G., Nitzan, R. and Grossman, Y.. hom*ogeneousdistribution of excitatory and inhibitory synapses on thedendrites of the cat surea triceps alpha-motoneurons increasessynaptic efficacy: computer model. Neurocomputing 26-7:155-162,1999.

Graham, B. P.. Pattern recognition in a compartmental model of aCA1 pyramidal neuron. Network 12:473-492, 2001.

Graham, B. P., Wong, A. Y. C. and Forsythe, I. D.. A computationalmodel of synaptic transmission at the calyx of Held.Neurocomputing 38:37-42, 2001.

Graham, B. P., Wong, A. Y. C. and Forsythe, I. D.. Amulti-component model of depression at the calyx of Held.Neurocomputing 58-60:449-454, 2004.

Graham, B. P., Saudargiene, A. and Cobb, S.. Spine head calcium asa measure of summed postsynaptic activity for driving synapticplasticity. Neural Computation 26:2194-2222,10.1162/NECO_a_00640, 2014.

Graham, R. D., Bruns, T. M., Duan, B. and Lempka, S. F.. Dorsalroot ganglion stimulation for chronic pain modulates Aβ-fiberactivity but not C-fiber activity: a computational modeling study.Clinical Neurophysiology 130:941-951,10.1016/j.clinph.2019.02.016, 2019.

Graham, R. D., Bruns, T. M., Duan, B. and Lempka, S. F.. Theeffect of clinically controllable factors on neural activationduring dorsal root ganglion stimulation. Neuromodulation24:655-671, 10.1111/ner.13211, 2021.

Grant, P. F. and Lowery, M. M.. Effect of dispersive conductivityand permittivity in volume conductor models of deep brainstimulation. IEEE Transactions on Biomedical Engineering57:2386-2393, 10.1109/TBME.2010.2055054, 2010.

Grant, P. F. and Lowery, M. M.. Contribution of dielectricdispersions to voltage waveforms arising from electricalstimulation [Online]. IEEE Engineering in Medicine and BiologySociety Proceedings 2012:4148-4151, 10.1109/EMBC.2012.6346880,2012.

Grant, P. F. and Lowery, M. M.. Simulation of cortico-basalganglia oscillations and their suppression by closed loop deepbrain stimulation. IEEE Transactions on Neural Systems andRehabilitation Engineering 21:584-594,10.1109/TNSRE.2012.2202403, 2013.

Grant, P. F. and Lowery, M. M.. Simplified parametric models ofthe dielectric properties of brain and muscle tissue duringelectrical stimulation. Medical Engineering & Physics 65:61-67,10.1016/j.medengphy.2018.12.018, 2019.

Gratiy, S. L., Billeh, Y. N., Dai, K., Mitelut, C., Feng, D.,Gouwens, N. W., Cain, N., Koch, C., Anastassiou, C. A. andArkhipov, A.. BioNet: a Python interface to NEURON for modelinglarge-scale networks. PLoS ONE 13:e0201630,10.1371/journal.pone.0201630, 2018.

Grau-Serrat, V., Carr, C. E. and Simon, J. Z.. Modelingcoincidence detection in nucleus laminaris. BiologicalCybernetics 89:388-396, 2003.

Greenberg, R. J., Velte, T. J., Humayun, M. S., Scarlatis, G. N.and de Juan, Jr., E.. A computational model of electricalstimulation of the retinal ganglion cell. IEEE Transactions onBiomedical Engineering 46:505-514, 1999.

Grein, S., Stepniewski, M., Reiter, S., Knodel, M. M. andQueisser, G.. 1D-3D hybrid modeling-from multi-compartment modelsto full resolution models in space and time. Frontiers inNeuroinformatics 8:68, 10.3389/fninf.2014.00068, 2014.

Greiner, N., Barra, B., Schiavone, G., Lorach, H., James, N.,Conti, S., Kaeser, M., Fallegger, F., Borgognon, S., Lacour, S.,Bloch, J., Courtine, G. and Capogrosso, M.. Recruitment ofupper-limb motoneurons with epidural electrical stimulation of thecervical spinal cord. Nature Communications 12:435,10.1038/s41467-020-20703-1, 2021.

Grienberger, C., Milstein, A. D., Bittner, K. C., Romani, S. andMagee, J. C.. Inhibitory suppression of heterogeneously tunedexcitation enhances spatial coding in CA1 place cells. NatureNeuroscience 20:417-426, 10.1038/nn.4486, 2017.

Grill, W. M., Snyder, A. N. and Miocinovic, S.. Deep brainstimulation creates an informational lesion of the stimulatednucleus. Neuroreport 15:1137-1140, 2004.

Grill, W. M., Cantrell, M. B. and Robertson, M. S.. Antidromicpropagation of action potentials in branched axons: implicationsfor the mechanisms of action of deep brain stimulation. Journalof Computational Neuroscience 24:81-93, 2008.

Grill, W. M., Simmons, A. M., Cooper, S. E., Miocinovic, S.,Montgomery, E. B., Baker, K. B. and Rezai, A. R.. Temporalexcitation properties of paresthesias evoked by thalamicmicrostimulation. Clinical Neurophysiology 116:1227-1234, 2005.

Grillo, F. W., Neves, G., Walker, A., Vizcay-Barrena, G., Fleck,R. A., Branco, T. and Burrone, J.. A distance-dependentdistribution of presynaptic boutons tunes frequency-dependentdendritic integration. Neuron 99:275-282.e3,10.1016/j.neuron.2018.06.015, 2018.

Grimes, W. N., Zhang, J., Graydon, C. W., Kachar, B. and Diamond,J. S.. Retinal parallel processors: more than 100 independentmicrocircuits operate within a single interneuron. Neuron65:873-885, 10.1016/j.neuron.2010.02.028, 2010.

Grisham, W., Schottler, N. A. and Krasne, F. B.. SWIMMY: freesoftware for teaching neurophysiology of neuronal circuits.Journal of Undergraduate Neuroscience Education 7:A1-A8, 2008.

Groen, M. R., Paulsen, O., Pérez-Garci, E., Nevian, T., Wortel,J., Dekker, M. P., Mansvelder, H. D., van Ooyen, A. and Meredith,R. M.. Development of dendritic tonic GABAergic inhibitionregulates excitability and plasticity in CA1 pyramidal neurons.Journal of Neurophysiology 112:287-299, 10.1152/jn.00066.2014,2014.

Grosche, J., Kettenmann, H. and Reichenbach, A.. Bergmann glialcells form distinct morphological structures to interact withcerebellar neurons. Journal of Neuroscience Research 68:138-149,2002.

Grosser, S., Barreda, F. J., Beed, P., Schmitz, D., Booker, S. A.and Vida, I.. Parvalbumin interneurons are differentiallyconnected to principal cells in inhibitory feedback microcircuitsalong the dorsoventral axis of the medial entorhinal cortex.eNeuro 810.1523/ENEURO.0354-20.2020, 2021.

Grossman, N., Simiaki, V., Martinet, C., Toumazou, C., Schultz, S.R. and Nikolic, K.. The spatial pattern of light determines thekinetics and modulates backpropagation of optogenetic actionpotentials. Journal of Computational Neuroscience 34:477-488,10.1007/s10827-012-0431-7, 2013.

Grubb, M. S. and Burrone, J.. Activity-dependent relocation of theaxon initial segment fine-tunes neuronal excitability. Nature465:1070-1074, 10.1038/nature09160, 2010.

Grunditz, A., Holbro, N., Tian, L., Zuo, Y. and Oertner, T. G..Spine neck plasticity controls postsynaptic calcium signalsthrough electrical compartmentalization. Journal of Neuroscience28:13457-13466, 2008.

Gruntman, E., Romani, S. and Reiser, M. B.. Simple integration offast excitation and offset, delayed inhibition computesdirectional selectivity in Drosophila. Nature Neuroscience21:250-257, 10.1038/s41593-017-0046-4, 2018.

Gu, Y., Barry, J., McDougel, R., Terman, D. and Gu, C..Alternative splicing regulates kv3.1 polarized targeting to adjustmaximal spiking frequency. Journal of Biological Chemistry287:1755-1769, 10.1074/jbc.M111.299305, 2012.

Gudes, S., Barkai, O., Caspi, Y., Katz, B., Lev, S. and Binshtok,A. M.. The role of slow and persistent TTX-resistant sodiumcurrents in acute tumor necrosis factor-α-mediated increase innociceptors excitability. Journal of Neurophysiology113:601-619, 10.1152/jn.00652.2014, 2015.

Guet-McCreight, A., Camiré, O., Topolnik, L. and Skinner, F. K..Using a semi-automated strategy to develop multi-compartmentmodels that predict biophysical properties of interneuron-specific3 (IS3) cells in hippocampus. eNeuro 3:ENEURO.0087-16.2016,10.1523/ENEURO.0087-16.2016, 2016.

Guet-McCreight, A. and Skinner, F. K.. Using computational modelsto predict in vivo synaptic inputs to interneuron specific 3 (IS3)cells of CA1 hippocampus that also allow their recruitment duringrhythmic states. PLoS ONE 14:e0209429,10.1371/journal.pone.0209429, 2019.

Guet-McCreight, A. and Skinner, F. K.. Computationally going whereexperiments cannot: a dynamical assessment of dendritic ionchannel currents during in vivo-like states. F1000Research9:180, 10.12688/f1000research.22584.2, 2020.

Guet-McCreight, A. and Skinner, F. K.. Deciphering how interneuronspecific 3 cells control oriens lacunosum-moleculare cells tocontribute to circuit function. Journal of Neurophysiology126:997-1014, 10.1152/jn.00204.2021, 2021.

Gulledge, A. T. and Stuart, G. J.. Excitatory actions of GABA inthe cortex. Neuron 37:299-309, 2003.

Gulledge, A. T. and Bravo, J. J.. Neuron morphology influencesaxon initial segment plasticity. eNeuro 3:ENEURO.0085-15.2016,10.1523/ENEURO.0085-15.2016, 2016.

Gulledge, A. T., Carnevale, N. T. and Stuart, G. J.. Electricaladvantages of dendritic spines. PLoS ONE 7:e36007,10.1371/journal.pone.0036007, 2012.

Gulyás, A. I., Freund, T. F. and Káli, S.. The effects ofrealistic synaptic distribution and 3D geometry on signalintegration and extracellular field generation of hippocampalpyramidal cells and inhibitory neurons. Frontiers in NeuralCircuits 10:88, 10.3389/fncir.2016.00088, 2016.

Gunalan, K., Chaturvedi, A., Howell, B., Duchin, Y., Lempka, S.F., Patriat, R., Sapiro, G., Harel, N. and McIntyre, C. C..Creating and parameterizing patient-specific deep brainstimulation pathway-activation models using the hyperdirectpathway as an example. PLoS ONE 12:e0176132,10.1371/journal.pone.0176132, 2017.

Gunalan, K., Howell, B. and McIntyre, C. C.. Quantifying axonalresponses in patient-specific models of subthalamic deep brainstimulation. NeuroImage 172:263-277,10.1016/j.neuroimage.2018.01.015, 2018.

Gunalan, K. and McIntyre, C. C.. Biophysical reconstruction of thesignal conduction underlying short-latency cortical evokedpotentials generated by subthalamic deep brain stimulation.Clinical Neurophysiology 131:542-547,10.1016/j.clinph.2019.09.020, 2020.

Günay, C., Sieling, F. H., Dharmar, L., Lin, W.-H., Wolfram, V.,Marley, R., Baines, R. A. and Prinz, A. A.. Distal spikeinitiation zone location estimation by morphological simulation ofionic current filtering demonstrated in a novel model of anidentified Drosophila motoneuron. PLoS Computational Biology11:e1004189, 10.1371/journal.pcbi.1004189, 2015.

Guo, T., Lovell, N. H., Tsai, D., Twyford, P., Fried, S., Morley,J. W., Suaning, G. J. and Dokos, S.. Selective activation of ONand OFF retinal ganglion cells to high-frequency electricalstimulation: a computational modeling study. IEEE Engineering inMedicine and Biology Society. Annual Conference 2014:6108-6111,10.1109/EMBC.2014.6945023, 2014a.

Guo, T., Tsai, D., Morley, J. W., Suaning, G. J., Kameneva, T.,Lovell, N. H. and Dokos, S.. Electrical activity of ON and OFFretinal ganglion cells: a modelling study. Journal of NeuralEngineering 13:025005, 10.1088/1741-2560/13/2/025005, 2016.

Guo, T., Tsai, D., Morley, J. W., Suaning, G. J., Lovell, N. H.and Dokos, S.. Cell-specific modeling of retinal ganglion cellelectrical activity [Online]. IEEE Engineering in Medicine andBiology Society Proceedings 2013:6539-6542,10.1109/EMBC.2013.6611053, 2013a.

Guo, T., Tsai, D., Morley, J. W., Suaning, G. J., Lovell, N. H.and Dokos, S.. Influence of cell morphology in a computationalmodel of ON and OFF retinal ganglion cells [Online]. IEEEEngineering in Medicine and Biology Society Proceedings2013:4553-4556, 10.1109/EMBC.2013.6610560, 2013b.

Guo, T., Tsai, D., Morley, J. W., Suaning, G. J., Lovell, N. H.and Dokos, S.. The unique characteristics of ON and OFF retinalganglion cells: a modeling study. IEEE Engineering in Medicineand Biology Society. Annual Conference 2014:6096-6099,10.1109/EMBC.2014.6945020, 2014b.

Guo, T., Tsai, D., Muralidharan, M., Li, M., Suaning, G. J.,Morley, J. W., Dokos, S. and Lovell, N. H.. Computational modelsand tools for developing sophisticated stimulation strategies forretinal neuroprostheses. IEEE Engineering in Medicine and BiologySociety. Annual Conference 2018:2248-2251,10.1109/EMBC.2018.8512748, 2018.

Guo, T., Tsai, D., Sovilj, S., Morley, J. W., Suaning, G. J.,Lovell, N. H. and Dokos, S.. Influence of active dendrites onfiring patterns in a retinal ganglion cell model [Online]. IEEEEngineering in Medicine and Biology Society Proceedings2013:4557-4560, 10.1109/EMBC.2013.6610561, 2013c.

Guo, T., Tsai, D., Yang, C. Y., Al Abed, A., Twyford, P., Fried,S. I., Morley, J. W., Suaning, G. J., Dokos, S. and Lovell, N. H..Mediating retinal ganglion cell spike rates using high-frequencyelectrical stimulation. Frontiers in Neuroscience 13:413,10.3389/fnins.2019.00413, 2019.

Gupta, I., Cassará, A. M., Tarotin, I., Donega, M., Miranda, J.A., Sokal, D. M., Ouchouche, S., Dopson, W., Matteucci, P.,Neufeld, E., Schiefer, M. A., Rowles, A., McGill, P., Perkins, J.,Dolezalova, N., Saeb-Parsy, K., Kuster, N., Yazicioglu, R. F.,Witherington, J. and Chew, D. J.. Quantification of clinicallyapplicable stimulation parameters for precision near-organneuromodulation of human splenic nerves. Communications Biology3:577, 10.1038/s42003-020-01299-0, 2020.

Gupta, S., Majawadia, A. and Manchanda, R.. A computational modelof intracellular calcium oscillations in urinary bladder smoothmuscle cells. IEEE Engineering in Medicine and Biology Society.Annual Conference 2017:2692-2695, 10.1109/EMBC.2017.8037412,2017.

Gupta, S. and Manchanda, R.. A computational model of largeconductance voltage and calcium activated potassium channels:implications for calcium dynamics and electrophysiology indetrusor smooth muscle cells. Journal of ComputationalNeuroscience 46:233-256, 10.1007/s10827-019-00713-9, 2019.

Gurkiewicz, M. and Korngreen, A.. A numerical approach to ionchannel modelling using whole-cell voltage-clamp recordings and agenetic algorithm. PLoS Computational Biology 3:e169,10.1371/journal.pcbi.0030169, 2007.

Gurkiewicz, M., Korngreen, A., Waxman, S. G. and Lampert, A..Kinetic modeling of Nav1.7 provides insight intoerythromelalgia-associated F1449V mutation. Journal ofNeurophysiology 105:1546-1557, 10.1152/jn.00703.2010, 2011.

Guzman, J. N., Sánchez-Padilla, J., Chan, C. S. and Surmeier, D.J.. Robust pacemaking in substantia nigra dopaminergic neurons.Journal of Neuroscience 29:11011-11019,10.1523/JNEUROSCI.2519-09.2009, 2009.

Gwak, J. and Kwag, J.. Distinct subtypes of inhibitoryinterneurons differentially promote the propagation of rate andtemporal codes in the feedforward neural network. Chaos30:053102, 10.1063/1.5134765, 2020.

Głąbska, H., Chintaluri, C. and Wójcik, D. K.. Collection ofsimulated data from a thalamocortical network model.Neuroinformatics 15:87-99, 10.1007/s12021-016-9319-4, 2017.

Głąbska, H., Potworowski, J., Łęski, S. and Wójcik, D. K..Independent components of neural activity carry information onindividual populations. PLoS ONE 9:e105071,10.1371/journal.pone.0105071, 2014.

Głąbska, H. T., Norheim, E., Devor, A., Dale, A. M., Einevoll, G.T. and Wójcik, D. K.. Generalized laminar population analysis(gLPA) for interpretation of multielectrode data from cortex.Frontiers in Neuroinformatics 10:1, 10.3389/fninf.2016.00001,2016.

Ha, J. and Kuznetsov, A.. Interaction of NMDA receptor andpacemaking mechanisms in the midbrain dopaminergic neuron. PLoSONE 8:e69984, 10.1371/journal.pone.0069984, 2013.

Haddjeri-Hopkins, A., Tapia, M., Ramirez-Franco, J., Tell, F.,Marqueze-Pouey, B., Amalric, M. and Goaillard, J.-M.. Refining theidentity and role of Kv4 channels in mouse substantia nigradopaminergic neurons. eNeuro 810.1523/ENEURO.0207-21.2021, 2021.

Hagen, E., Dahmen, D., Stavrinou, M. L., Lindén, H., Tetzlaff, T.,van Albada, S. J., Grün, S., Diesmann, M. and Einevoll, G. T..Hybrid scheme for modeling local field potentials frompoint-neuron networks. Cerebral Cortex 26:4461-4496,10.1093/cercor/bhw237, 2016.

Hagen, E., Fossum, J. C., Pettersen, K. H., Alonso, J.-M.,Swadlow, H. A. and Einevoll, G. T.. Focal local field potentialsignature of the single-axon monosynaptic thalamocorticalconnection. Journal of Neuroscience 37:5123-5143,10.1523/JNEUROSCI.2715-16.2017, 2017.

Hagen, E., Næss, S., Ness, T. V. and Einevoll, G. T.. Multimodalmodeling of neural network activity: computing LFP, ECoG, EEG, andMEG signals with LFPy 2.0. Frontiers in Neuroinformatics 12:92,10.3389/fninf.2018.00092, 2018.

Hagen, E., Ness, T. V., Khosrowshahi, A., Sørensen, C., Fyhn, M.,Hafting, T., Franke, F. and Einevoll, G. T.. ViSAPy: a Python toolfor biophysics-based generation of virtual spiking activity forevaluation of spike-sorting algorithms. Journal of NeuroscienceMethods 245:182-204, 10.1016/j.jneumeth.2015.01.029, 2015.

Hahn, P. J. and McIntyre, C. C.. Modeling shifts in the rate andpattern of subthalamopallidal network activity during deep brainstimulation. Journal of Computational Neuroscience 28:425-441,10.1007/s10827-010-0225-8, 2010.

Hai, A., Dormann, A., Shappir, J., Yitzchaik, S., Bartic, C.,Borghs, G., Langedijk, J. P. M. and Spira, M. E.. Spine-shapedgold protrusions improve the adherence and electrical coupling ofneurons with the surface of micro-electronic devices. Journal ofthe Royal Society Interface 6:1153-1165, 10.1098/rsif.2009.0087,2009.

Hales, C. G.. The origins of the brain’s endogenouselectromagnetic field and its relationship to provision ofconsciousness. Journal of Integrative Neuroscience 13:313-361,10.1142/S0219635214400056, 2014.

Hallermann, S., de Kock, C. P. J., Stuart, G. J. and Kole, M. H.P.. State and location dependence of action potential metaboliccost in cortical pyramidal neurons. Nature Neuroscience15:1007-1014, 10.1038/nn.3132, 2012.

Hallermann, S., Pawlu, C., Jonas, P. and Heckmann, M.. A largepool of releasable vesicles in a cortical glutamatergic synapse.Proceedings of the National Academy of Sciences of the UnitedStates of America 100:8975-8980, 2003.

Halnes, G., Augustinaite, S., Heggelund, P., Einevoll, G. T. andMigliore, M.. A multi-compartment model for interneurons in thedorsal lateral geniculate nucleus. PLoS Computational Biology7:e1002160, 10.1371/journal.pcbi.1002160, 2011.

Halnes, G., Mäki-Marttunen, T., Keller, D., Pettersen, K. H.,Andreassen, O. A. and Einevoll, G. T.. Effect of ionic diffusionon extracellular potentials in neural tissue. PLoS ComputationalBiology 12:e1005193, 10.1371/journal.pcbi.1005193, 2016.

Halnes, G., Mäki-Marttunen, T., Pettersen, K. H., Andreassen, O.A. and Einevoll, G. T.. Ion diffusion may introduce spuriouscurrent sources in current-source density (CSD) analysis. Journalof Neurophysiology 118:114-120, 10.1152/jn.00976.2016, 2017.

Halnes, G., Tennøe, S., Haug, T. M., Einevoll, G. T., Weltzien,F.-A. and Hodne, K.. A computational model for gonadotropinreleasing cells in the teleost fish medaka. PLoS ComputationalBiology 15:e1006662, 10.1371/journal.pcbi.1006662, 2019.

Hamada, M. S., Goethals, S., de Vries, S. I., Brette, R. and Kole,M. H. P.. Covariation of axon initial segment location anddendritic tree normalizes the somatic action potential.Proceedings of the National Academy of Sciences of the UnitedStates of America 113:14841-14846, 10.1073/pnas.1607548113, 2016.

Hamada, M. S. and Kole, M. H. P.. Myelin loss and axonal ionchannel adaptations associated with gray matter neuronalhyperexcitability. Journal of Neuroscience 35:7272-7286,10.1523/JNEUROSCI.4747-14.2015, 2015.

Hamani, C., Amorim, B. O., Wheeler, A. L., Diwan, M., Driesslein,K., Covolan, L., Butson, C. R. and Nobrega, J. N.. Deep brainstimulation in rats: different targets induce similarantidepressant-like effects but influence different circuits.Neurobiology of Disease 71:205-214, 10.1016/j.nbd.2014.08.007,2014.

Hanemaaijer, N. A. K., Popovic, M. A., Wilders, X., Grasman, S.,Pavón Arocas, O. and Kole, M. H. P.. Ca2+ entry through NaVchannels generates submillisecond axonal Ca2+ signaling. eLife910.7554/eLife.54566, 2020.

Hanson, J. E. and Madison, D. V.. Imbalanced pattern completionvs. separation in cognitive disease: network simulations ofsynaptic pathologies predict a personalized therapeutics strategy.BMC Neuroscience 11:96, 10.1186/1471-2202-11-96, 2010.

Hanson, L., Sethuramanujam, S., deRosenroll, G., Jain, V. andAwatramani, G. B.. Retinal direction selectivity in the absence ofasymmetric starburst amacrine cell responses. eLife 8:e42392,10.7554/eLife.42392, 2019.

Hanuschkin, A., Yim, M. Y. and Wolfart, J.. A network modelreveals that the experimentally observed switch of the granulecell phenotype during epilepsy can maintain the pattern separationfunction of the dentate gyrus. In: Hippocampal Microcircuits: AComputational Modeler’s Resource Book. Cham: SpringerInternational Publishing, 2018, pp. 779-805.

Hao, J., Wang, X.-d., Dan, Y., Poo, M.-m. and Zhang, X.-h.. Anarithmetic rule for spatial summation of excitatory and inhibitoryinputs in pyramidal neurons. Proceedings of the National Academyof Sciences of the United States of America 106:21906-21911,10.1073/pnas.0912022106, 2009.

Hardie, J. B. and Pearce, R. A.. Active and passive membraneproperties and intrinsic kinetics shape synaptic inhibition inhippocampal ca1 pyramidal neurons. Journal of Neuroscience26:8559-8569, 2006.

Harnett, M. T., Makara, J. K., Spruston, N., Kath, W. L. andMagee, J. C.. Synaptic amplification by dendritic spines enhancesinput cooperativity. Nature 491:599-602, 10.1038/nature11554,2012.

Harrington, M. G., Chekmenev, E. Y., Schepkin, V., Fonteh, A. N.and Arakaki, X.. Sodium MRI in a rat migraine model and a NEURONsimulation study support a role for sodium in migraine.Cephalalgia 31:1254-1265, 10.1177/0333102411408360, 2011.

Harris, J. J., Engl, E., Attwell, D. and Jolivet, R. B..Energy-efficient information transfer at thalamocortical synapses.PLoS Computational Biology 15:e1007226,10.1371/journal.pcbi.1007226, 2019.

Hartline, D. K. and Castelfranco, A. M.. Simulations of voltageclamping poorly space-clamped voltage-dependent conductances in auniform cylindrical neurite. Journal of ComputationalNeuroscience 14:253-269, 2003.

Hartline, D. K.. What is myelin?. Neuron Glia Biology 4:153-163,10.1017/S1740925X09990263, 2008.

Hartman, D., Lehotzky, D., Ilieş, I., Levi, M. and Zupanc, G. K.H.. Modeling of sustained spontaneous network oscillations of asexually dimorphic brainstem nucleus: the role of potassiumequilibrium potential. Journal of Computational Neuroscience10.1007/s10827-021-00789-2, 2021.

Hartmann, C. J., Chaturvedi, A. and Lujan, J. L.. Quantitativeanalysis of axonal fiber activation evoked by deep brainstimulation via activation density heat maps. Frontiers inNeuroscience 9:28, 10.3389/fnins.2015.00028, 2015.

Hartveit, E., Veruki, M. L. and Zandt, B.-J.. Capacitancemeasurement of dendritic exocytosis in an electrically coupledinhibitory retinal interneuron: an experimental and computationalstudy. Physiological Reports 7:e14186, 10.14814/phy2.14186,2019.

Harty, R. C., Kim, T. H., Thomas, E. A., Cardamone, L., Jones, N.C., Petrou, S. and Wimmer, V. C.. Axon initial segment structuralplasticity in animal models of genetic and acquired epilepsy.Epilepsy Research 105:272-279, 10.1016/j.eplepsyres.2013.03.004,2013.

Hatori, Y. and Sakai, K.. Early representation of shape by onsetsynchronization of border-ownership-selective cells in the V1-V2network. Journal of the Optical Society of America A–OpticsImage Science and Vision 31:716-729, 10.1364/JOSAA.31.000716,2014.

Haug, S. J. and Segal, S. S.. Sympathetic neural inhibition ofconducted vasodilatation along hamster feed arteries:complementary effects of alpha(1)- and alpha(2)-adrenoreceptoractivation. Journal of Physiology 563:541-555, 2005.

Häusser, M., Major, G. and Stuart, G. J.. Differential shunting ofEPSPs by action potentials. Science 291:138-141, 2001.

Häusser, M. and Roth, A.. Estimating the time course of theexcitatory synaptic conductance in neocortical pyramidal cellsusing a novel voltage jump method. Journal of Neuroscience17:7606-7625, 1997.

Häusser, M., Spruston, N. and Stuart, G. J.. Diversity anddynamics of dendritic signaling. Science 290:739-744, 2000.

Häusser, M., Stuart, G., Racca, C. and Sakmann, B.. Axonalinitiation and active dendritic propagation of action potentialsin substantia nigra neurons. Neuron 15:637-647, 1995.

Hawrylycz, M., Anastassiou, C., Arkhipov, A., Berg, J., Buice, M.,Cain, N., Gouwens, N. W., Gratiy, S., Iyer, R., Lee, J. H.,Mihalas, S., Mitelut, C., Olsen, S., Reid, R. C., Teeter, C., deVries, S., Waters, J., Zeng, H., Koch, C. and MindScope. Inferringcortical function in the mouse visual system through large-scalesystems neuroscience. Proceedings of the National Academy ofSciences of the United States of America 113:7337-7344,10.1073/pnas.1512901113, 2016.

Hay, E., Hill, S., Schuermann, F., Markram, H. and Segev, I..Models of neocortical layer 5b pyramidal cells capturing a widerange of dendritic and perisomatic active properties. PLoSComputational Biology 7:e1002107, 10.1371/journal.pcbi.1002107,2011.

Hay, E., Schürmann, F., Markram, H. and Segev, I.. Preservingaxosomatic spiking features despite diverse dendritic morphology.Journal of Neurophysiology 109:2972-2981, 10.1152/jn.00048.2013,2013.

Hay, E. and Segev, I.. Dendritic excitability and gain control inrecurrent cortical microcircuits. Cerebral Cortex 25:3561-3571,10.1093/cercor/bhu200, 2015.

Hayakawa, H., Samura, T., Kamijo, T. C., Sakai, Y. and Aihara, T..Spatial information enhanced by non-spatial information inhippocampal granule cells.. Cognitive Neurodynamics 9:1-12,10.1007/s11571-014-9309-x, 2015.

Hayashida, Y., Rodríguez, C. V., Ogata, G., Partida, G. J., Oi,H., Stradleigh, T. W., Lee, S. C., Colado, A. F. and Ishida, A.T.. Inhibition of adult rat retinal ganglion cells by D1-typedopamine receptor activation.. Journal of Neuroscience29:15001-15016, 10.1523/JNEUROSCI.3827-09.2009, 2009.

Hayashida, Y. and Yagi, T.. Contribution of Ca2+ transporters toelectrical response of a non-spiking retinal neuron.Neurocomputing 44:7-12, 2002a.

Hayashida, Y. and Yagi, T.. On the interaction betweenvoltage-gated conductances and Ca2+ regulation mechanisms inretinal horizontal cells. Journal of Neurophysiology 87:172-182,2002b.

Headley, D. B., Kyriazi, P., Feng, F., Nair, S. and Pare, D..Gamma oscillations in the basolateral amygdala: localization,microcircuitry, and behavioral correlates. Journal ofNeuroscience 10.1523/JNEUROSCI.3159-20.2021, 2021.

Heiberg, T., Hagen, E., Halnes, G. and Einevoll, G. T..Biophysical network modelling of the dLGN circuit: differenteffects of triadic and axonal inhibition on visual responses ofrelay cells. PLoS Computational Biology 12:e1004929,10.1371/journal.pcbi.1004929, 2016.

Heilman, A. D. and Quattrochi, J.. Computational models ofepileptiform activity in single neurons. Biosystems 78:1-21,2004.

Heinzle, J., König, P. and Salazar, R. F.. Modulation of synchronywithout changes in firing rates. Cognitive Neurodynamics1:225-235, 2007.

Helmstaedter, M., Sakmann, B. and Feldmeyer, D.. The relationbetween dendritic geometry, electrical excitability, and axonalprojections of L2/3 interneurons in rat barrel cortex. CerebralCortex 19:938-950, 2009.

Hemond, P., Epstein, D., Boley, A., Migliore, M., Ascoli, G. A.and Jaffe, D. B.. Distinct classes of pyramidal cells exhibitmutually exclusive firing patterns in hippocampal area CA3b.Hippocampus 18:411-424, 2008.

Hemond, P., Migliore, M., Ascoli, G. A. and Jaffe, D. B.. Themembrane response of hippocampal Ca3b pyramidal neurons near rest:heterogeneity of passive properties and the contribution ofhyperpolarization-activated currents. Neuroscience 160:359-370,2009.

Henderson, D. and Miller, R. F.. Evidence forlow-voltage-activated (LVA) calcium currents in the dendrites oftiger salamander retinal ganglion cells. Visual Neuroscience20:141-152, 2003.

Henderson, D. and Miller, R. F.. Low-voltage activated calciumcurrents in ganglion cells of the tiger salamander retina:experiment and simulation. Visual Neuroscience 24:37-51, 2007.

Hendrickson, P. J., Bingham, C., Song, D. and Berger, T. W.. Abi-directional communication paradigm between parallel NEURON andan external non-neuron process. IEEE Engineering in Medicine andBiology Society. Annual Conference 2016:1413-1416,10.1109/EMBC.2016.7590973, 2016.

Hendrickson, P. J., Yu, G. J., Song, D. and Berger, T. W..Interactions between inhibitory interneurons and excitatoryassociational circuitry in determining spatio-temporal dynamics ofhippocampal dentate granule cells: a large-scale computationalstudy. Frontiers in Systems Neuroscience 9:155,10.3389/fnsys.2015.00155, 2015.

Henze, D. A., Cameron, W. E. and Barrionuevo, G.. Dendriticmorphology and its effects on the amplitude and rise-time ofsynaptic signals in hippocampal CA3 pyramidal cells. Journal ofComparative Neurology 369:331-344, 1996.

Hepburn, I., Cannon, R. and De Schutter, E.. Efficient calculationof the quasi-static electrical potential on a tetrahedral mesh andits implementation in STEPS. Frontiers In ComputationalNeuroscience 7:129, 10.3389/fncom.2013.00129, 2013.

Hernandez, O., Hernandez, L., Vera, D., Santander, A. and Zurek,E.. Thalamic reticular cells firing modes and its dependency onthe frequency and amplitude ranges of the current stimulus.Medical and Biological Engineering and Computing 53:37-44,10.1007/s11517-014-1209-z, 2015.

Hernandez, O. E. and Zurek, E. E.. Teaching and learning theHodgkin-Huxley model based on software developed in NEURON’sprogramming language hoc. BMC Medical Education 13:70,10.1186/1472-6920-13-70, 2013.

Herrera, B., Sajad, A., Woodman, G. F., Schall, J. D. and Riera,J. J.. A minimal biophysical model of neocortical pyramidal cells:implications for frontal cortex microcircuitry and field potentialgeneration. Journal of Neuroscience10.1523/JNEUROSCI.0221-20.2020, 2020.

Herrmann, C. S. and Klaus, A.. Autapse turns neuron intooscillator. International Journal of Bifurcation and Chaos14:623-633, 2004.

Herrmann, U. and Flanders, M.. Directional tuning of single motorunits. Journal of Neuroscience 18:8402-8416, 1998.

Herzog, A., Kube, K., Michaelis, B., de Lima, A. D. and Voigt, T..Displaced strategies optimize connectivity in neocorticalnetworks. Neurocomputing 70:1121-1129, 2007.

Herzog, R. I., Cummins, T. R. and Waxman, S. G.. PersistentTTX-resistant Na+ current affects resting potential and responseto depolarization in simulated spinal sensory neurons. Journal ofNeurophysiology 86:1351-1364, 2001.

Heshmat, A., Sajedi, S., Schrott-Fischer, A. and Rattay, F..Polarity sensitivity of human auditory nerve fibers based on pulseshape, cochlear implant stimulation strategy and array. Frontiersin Neuroscience 15:751599, 10.3389/fnins.2021.751599, 2021.

Hesprich, S. and Beardsley, S.. Computational characterization ofthe cellular origins of electroencephalography [Online]. 2019 9thInternational IEEE/EMBS Conference on Neural Engineering,10.1109/ner.2019.8716883, 2019.

Heys, J. G., Giocomo, L. M. and Hasselmo, M. E.. Cholinergicmodulation of the resonance properties of stellate cells in layerII of medial entorhinal cortex. Journal of Neurophysiology104:258-270, 10.1152/jn.00492.2009, 2010.

Higley, M. J. and Contreras, D.. Balanced excitation andinhibition determine spike timing during frequency adaptation.Journal of Neuroscience 26:448-457, 2006.

Hilgetag, C. C. and Barbas, H.. Developmental mechanics of theprimate cerebral cortex. Anatomy and Embryology 210:411-417,2005.

Hill, M., Rios, E., Sudhakar, S. K., Roossien, D. H., Caldwell,C., Cai, D., Ahmed, O. J., Lempka, S. F. and Chestek, C. A..Quantitative simulation of extracellular single unit recordingfrom the surface of cortex. Journal of neural engineering15:056007, 10.1088/1741-2552/aacdb8, 2018.

Hill, S. A., Liu, X.-P., Borla, M. A., José, J. V. and O’Malley,D. M.. Neurokinematic modeling of complex swimming patterns of thelarval zebrafish. Neurocomputing 65–66:61-68, 2005.

Hines, M. and Carnevale, T.. NEURON Simulation Environment. In:Encyclopedia of Computational Neuroscience, edited by Jaeger, D.and Jung, R.. Springer New York, 2014, pp. 2012-2017.

Hines, M. and Carnevale, T.. NEURON Simulation Environment. In:Encyclopedia of Computational Neuroscience, edited by Jaeger, D.and Jung, R.. Springer New York, 2015a, pp. 2012-2017.

Hines, M. and Carnevale, T.. Numerical Integration Methods. In:Encyclopedia of Computational Neuroscience, edited by Jaeger, D.and Jung, R.. Springer New York, 2015b, pp. 2115-2124.

Hines, M., Kumar, S. and Schürmann, F.. Comparison of neuronalspike exchange methods on a Blue Gene/P supercomputer. Frontiersin Computational Neuroscience 5:49, 10.3389/fncom.2011.00049,2011.

Hines, M. L., Morse, T. M. and Carnevale, N. T.. Model structureanalysis in NEURON: toward interoperability among neuralsimulators. Methods in Molecular Biology 401:91-102,10.1007/978-1-59745-520-6_6, 2007.

Hines, M. and Shrager, P.. A computational test of therequirements for conduction in demyelinated axons. Journal ofRestorative Neurology and Neuroscience 3:81-93, 1991.

Hiratani, N. and f*ckai, T.. Redundancy in synaptic connectionsenables neurons to learn optimally. Proceedings of the NationalAcademy of Sciences of the United States of America115:E6871-E6879, 10.1073/pnas.1803274115, 2018.

Hjorth, J. J. J., Hellgren Kotaleski, J. and Kozlov, A..Predicting synaptic connectivity for large-scale microcircuitsimulations using Snudda. Neuroinformatics10.1007/s12021-021-09531-w, 2021.

Hjorth, J. J. J., Kozlov, A., Carannante, I., Frost Nylén, J.,Lindroos, R., Johansson, Y., Tokarska, A., Dorst, M. C.,Suryanarayana, S. M., Silberberg, G., Hellgren Kotaleski, J. andGrillner, S.. The microcircuits of striatum in silico.Proceedings of the National Academy of Sciences of the UnitedStates of America 117:9554-9565, 10.1073/pnas.2000671117, 2020.

Hô, N. and Destexhe, A.. Synaptic background activity enhances theresponsiveness of neocortical pyramidal neurons. Journal ofNeurophysiology 84:1488-1496, 2000.

Hô, N., Kroger, H. and Destexhe, A.. Consequences of correlatedsynaptic bombardment on the responsiveness of neocorticalpyramidal neurons. Neurocomputing 32:155-160, 2000.

Hoch, T., Wenning, G. and Obermayer, K.. Optimal noise-aidedsignal transmission through populations of neurons. PhysicalReview E 68:011911, 2003.

Hoffman, D. A., Magee, J. C., Colbert, C. M. and Johnston, D.. K+channel regulation of signal propagation in dendrites ofhippocampal pyramidal neurons. Nature 387:869-875, 1997.

Hoffmann, J. H. O., Meyer, H. S., Schmitt, A. C., Straehle, J.,Weitbrecht, T., Sakmann, B. and Helmstaedter, M.. Synapticconductance estimates of the connection between local inhibitorinterneurons and pyramidal neurons in layer 2/3 of a corticalcolumn. Cerebral Cortex 25:4415-4429, 10.1093/cercor/bhv039,2015.

Hokanson, J. A., Gaunt, R. A. and Weber, D. J.. Effects ofsynchronous electrode pulses on neural recruitment duringmultichannel microstimulation. Scientific Reports 8:13067,10.1038/s41598-018-31247-2, 2018.

Holmes, W. R., Ambros-Ingerson, J. and Grover, L. M.. Fittingexperimental data to models that use morphological data frompublic databases. Journal of Computational Neuroscience20:349-365, 2006.

Holmes, W. R. and Grover, L. M.. Quantifying the magnitude ofchanges in synaptic level parameters with long-term potentiation.Journal of Neurophysiology 96:1478-1491, 2006.

Holmes, W. R., Huwe, J. A., Williams, B., Rowe, M. H. andPeterson, E. H.. Models of utricular bouton afferents: role ofafferent-hair cell connectivity in determining spike trainregularity. Journal of neurophysiology 117:1969-1986,10.1152/jn.00895.2016, 2017.

Holt, A. B. and Netoff, T. I.. Origins and suppression ofoscillations in a computational model of Parkinson’s disease.Journal of Computational Neuroscience 37:505-521,10.1007/s10827-014-0523-7, 2014.

Holt, A. B., Wilson, D., Shinn, M., Moehlis, J. and Netoff, T. I..Phasic burst stimulation: a closed-loop approach to tuning deepbrain stimulation parameters for Parkinson’s disease. PLoSComputational Biology 12:e1005011, 10.1371/journal.pcbi.1005011,2016.

Holt, G. R. and Koch, C.. Shunting inhibition does not have adivisive effect on firing rates. Neural Computation 9:1001-1013,1997.

Holt, G. R. and Koch, C.. Electrical interactions via theextracellular potential near cell bodies. Journal ofComputational Neuroscience 6:169-184, 1999.

Hong, H., Lu, T., Wang, X., Wang, Y. and Sanchez, J. T.. Resurgentsodium current promotes action potential firing in the avianauditory brainstem. Journal of Physiology 596:423-443,10.1113/JP275083, 2018a.

Hong, H., Wang, X., Lu, T., Zorio, D. A. R., Wang, Y. and Sanchez,J. T.. Diverse intrinsic properties shape functional phenotype oflow-frequency neurons in the auditory brainstem. Frontiers inCellular Neuroscience 12:175, 10.3389/fncel.2018.00175, 2018b.

Hong, S., Ratté, S., Prescott, S. A. and De Schutter, E.. Singleneuron firing properties impact correlation-based populationcoding.. Journal of Neuroscience 32:1413-1428,10.1523/JNEUROSCI.3735-11.2012, 2012a.

Hong, S., Robberechts, Q. and De Schutter, E.. Efficientestimation of phase-response curves via compressive sensing..Journal of Neurophysiology 108:2069-2081, 10.1152/jn.00919.2011,2012b.

Hong, S. H., Lundstrom, B. N. and Fairhall, A. L.. Intrinsic gainmodulation and adaptive neural coding. PLoS ComputationalBiology 4:e1000119, 10.1371/journal.pcbi.1000119, 2008.

Hönigsperger, C., Marosi, M., Murphy, R. and Storm, J. F..Dorsoventral differences in Kv7/M-current and its impact onresonance, temporal summation and excitability in rat hippocampalpyramidal cells. Journal of Physiology 593:1551-1580,10.1113/jphysiol.2014.280826, 2015.

Honnuraiah, S. and Narayanan, R.. A calcium-dependent plasticityrule for HCN channels maintains activity homeostasis and stablesynaptic learning. PLoS ONE 8:e55590,10.1371/journal.pone.0055590, 2013.

Horcholle-Bossavit, G., Quenet, B. and Foucart, O.. Oscillationand coding in a formal neural network considered as a guide forplausible simulations of the insect olfactory system. Biosystems89:244-256, 2007.

Hossain, W. A., Antic, S. D., Yang, Y., Rasband, M. N. and Morest,D. K.. Where is the spike generator of the cochlear nerve?Voltage-gated sodium channels in the mouse cochlea. Journal ofNeuroscience 25:6857-6868, 2005.

House, D. R. C., Elstrott, J., Koh, E., Chung, J. and Feldman, D.E.. Parallel regulation of feedforward inhibition and excitationduring whisker map plasticity. Neuron 72:819-831,10.1016/j.neuron.2011.09.008, 2011.

Housley, S. N., Nardelli, P., Powers, R. K., Rich, M. M. and Cope,T. C.. Chronic defects in intraspinal mechanisms of spike encodingby spinal motoneurons following chemotherapy. ExperimentalNeurology 331:113354, 10.1016/j.expneurol.2020.113354, 2020.

Houston, C. M., Diamanti, E., Diamantaki, M., Kutsarova, E., Cook,A., Sultan, F. and Brickley, S. G.. Exploring the significance ofmorphological diversity for cerebellar granule cell excitability.Scientific Reports 7:46147, 10.1038/srep46147, 2017.

Houweling, A. R., Bazhenov, M., Timofeev, I., Grenier, F.,Steriade, M. and Sejnowski, T. J.. Frequency-selective augmentingresponses by short-term synaptic depression in cat neocortex.Journal of Physiology 542:599-617, 2002.

Houweling, A. R., Bazhenov, M., Timofeev, I., Steriade, M. andSejnowski, T. J.. Cortical and thalamic components of augmentingresponses: A modeling study. Neurocomputing 26-27:735-742, 1999.

Houweling, A. R., Modi, R. H., Ganter, P., Fellous, J. M. andSejnowski, T. J.. Models of frequency preferences of prefrontalcortical neurons. Neurocomputing 38:231-238, 2001.

Houweling, A. R., Bazhenov, M., Timofeev, I., Steriade, M. andSejnowski, T. J.. Homeostatic synaptic plasticity can explainpost-traumatic epileptogenesis in chronically isolated neocortex.Cerebral Cortex 15:834-845, 2005.

Howard, A. L., Neu, A., Morgan, R. J., Echegoyen, J. C. andSoltesz, I.. Opposing modifications in intrinsic currents andsynaptic inputs in post-traumatic mossy cells: evidence forsingle-cell homeostasis in a hyperexcitable network. Journal ofNeurophysiology 97:2394-2409, 2007.

Howell, B., Choi, K. S., Gunalan, K., Rajendra, J., Mayberg, H. S.and McIntyre, C. C.. Quantifying the axonal pathways directlystimulated in therapeutic subcallosal cingulate deep brainstimulation. Human Brain Mapping 40:889-903, 10.1002/hbm.24419,2019a.

Howell, B. and Grill, W. M.. Evaluation of high-perimeterelectrode designs for deep brain stimulation. Journal of NeuralEngineering 11:046026, 10.1088/1741-2560/11/4/046026, 2014.

Howell, B., Gunalan, K. and McIntyre, C. C.. A driving-forcepredictor for estimating pathway activation in patient-specificmodels of deep brain stimulation. Neuromodulation 22:403-415,10.1111/ner.12929, 2019b.

Howell, B., Huynh, B. and Grill, W. M.. Design and in vivoevaluation of more efficient and selective deep brain stimulationelectrodes. Journal of Neural Engineering 12:046030,10.1088/1741-2560/12/4/046030, 2015a.

Howell, B., Lad, S. P. and Grill, W. M.. Evaluation of intraduralstimulation efficiency and selectivity in a computational model ofspinal cord stimulation. PLoS ONE 9:e114938,10.1371/journal.pone.0114938, 2014a.

Howell, B. and McIntyre, C. C.. Analyzing the tradeoff betweenelectrical complexity and accuracy in patient-specificcomputational models of deep brain stimulation. Journal of NeuralEngineering 13:036023, 10.1088/1741-2560/13/3/036023, 2016.

Howell, B. and McIntyre, C. C.. Role of soft-tissue heterogeneityin computational models of deep brain stimulation. BrainStimulation 10:46-50, 10.1016/j.brs.2016.09.001, 2017.

Howell, B. and McIntyre, C. C.. Feasibility of interferential andpulsed transcranial electrical stimulation for neuromodulation atthe human scale. Neuromodulation 10.1111/ner.13137, 2020.

Howell, B., Medina, L. E. and Grill, W. M.. Effects offrequency-dependent membrane capacitance on neural excitability.Journal of Neural Engineering 12:056015,10.1088/1741-2560/12/5/056015, 2015b.

Howell, B., Naik, S. and Grill, W. M.. Influences of interpolationerror, electrode geometry, and the electrode-tissue interface onmodels of electric fields produced by deep brain stimulation.IEEE Transactions on Biomedical Engineering 61:297-307,10.1109/TBME.2013.2292025, 2014b.

Hsu, C.-L., Zhao, X., Milstein, A. D. and Spruston, N.. Persistentsodium current mediates the steep voltage dependence of spatialcoding in hippocampal pyramidal neurons. Neuron 99:147-162.e8,10.1016/j.neuron.2018.05.025, 2018.

Hsu, H., Huang, E., Yang, X.-C., Karschin, A., Labarca, C., Figl,A., Ho, B., Davidson, N. and Lester, H. A.. Slow and incompleteinactivations of voltage-gated channels dominate encoding insynthetic neurons. Biophysical Journal 65:1196-1206, 1993.

Hu, E., Mergenthal, A., Bingham, C. S., Song, D., Bouteiller,J.-M. and Berger, T. W.. A glutamatergic spine model to enablemulti-scale modeling of nonlinear calcium dynamics. Frontiers inComputational Neuroscience 12:58, 10.3389/fncom.2018.00058,2018a.

Hu, E. Y., Bouteiller, J.-M. C., Song, D., Baudry, M. and Berger,T. W.. Volterra representation enables modeling of complexsynaptic nonlinear dynamics in large-scale simulations. Frontiersin Computational Neuroscience 9:112, 10.3389/fncom.2015.00112,2015.

Hu, H. and Jonas, P.. A supercritical density of Na(+) channelsensures fast signaling in GABAergic interneuron axons. NatureNeuroscience 17:686-693, 10.1038/nn.3678, 2014.

Hu, H., Roth, F. C., Vandael, D. and Jonas, P.. Complementarytuning of Na+ and K+ channel gating underlies fast andenergy-efficient action potentials in GABAergic interneuron axons.Neuron 98:156-165.e6, 10.1016/j.neuron.2018.02.024, 2018b.

Hu, W. and Bean, B. P.. Differential control of axonal and somaticresting potential by voltage-dependent conductances in corticallayer 5 pyramidal neurons. Neuron 97:1315-1326.e3,10.1016/j.neuron.2018.02.016, 2018.

Hu, W. Q., Tian, C. P., Li, T., Yang, M. P., Hou, H. and Shu, Y.S.. Distinct contributions of Na(v)1.6 and Na(v)1.2 in actionpotential initiation and backpropagation. Nature Neuroscience12:996-1002, 2009.

Huang, S., Hong, S. and De Schutter, E.. Non-linear leak currentsaffect mammalian neuron physiology. Frontiers in CellularNeuroscience 9:432, 10.3389/fncel.2015.00432, 2015.

Hübel, N., Andrew, R. D. and Ullah, G.. Large extracellular spaceleads to neuronal susceptibility to ischemic injury in a Na+/K+pumps-dependent manner. Journal of Computational Neuroscience40:177-192, 10.1007/s10827-016-0591-y, 2016.

Hugosdottir, R., Mørch, C. D., Jørgensen, C. K., Nielsen, C. W.,Olsen, M. V., Pedersen, M. J. and Tigerholm, J.. Alteredexcitability of small cutaneous nerve fibers during coolingassessed with the perception threshold tracking technique. BMCNeuroscience 20:47, 10.1186/s12868-019-0527-3, 2019.

Hull, M. J., Soffe, S. R., Willshaw, D. J. and Roberts, A..Modelling the effects of electrical coupling between unmyelinatedaxons of brainstem neurons controlling rhythmic activity. PLoSComputational Biology 11:e1004240, 10.1371/journal.pcbi.1004240,2015.

Hull, M. J., Soffe, S. R., Willshaw, D. J. and Roberts, A..Modelling feedback excitation, pacemaker properties and sensoryswitching of electrically coupled brainstem neurons controllingrhythmic activity. PLoS Computational Biology 12:e1004702,10.1371/journal.pcbi.1004702, 2016.

Hull, M. J. and Willshaw, D. J.. morphforge: a toolbox forsimulating small networks of biologically detailed neurons inPython. Frontiers in Neuroinformatics 7:47,10.3389/fninf.2013.00047, 2013.

Hummos, A., Franklin, C. C. and Nair, S. S.. Intrinsic mechanismsstabilize encoding and retrieval circuits differentially in ahippocampal network model. Hippocampus 24:1430-1448,10.1002/hipo.22324, 2014.

Hummos, A. and Nair, S. S.. An integrative model of the intrinsichippocampal theta rhythm. PLoS ONE 12:e0182648,10.1371/journal.pone.0182648, 2017.

Humphries, R., Mellor, J. R. and O’Donnell, C.. Acetylcholineboosts dendritic NMDA spikes in a Ca3 pyramidal neuron model.Neuroscience 10.1016/j.neuroscience.2021.11.014, 2021.

Huth, T., Rittger, A., Saftig, P. and Alzheimer, C.. beta-SiteAPP-cleaving enzyme 1 (BACE1) cleaves cerebellar Na(+) channelbeta 4-subunit and promotes Purkinje cell firing by slowing thedecay of resurgent Na(+) current. Pflügers Archiv-EuropeanJournal of Physiology 461:355-371, 10.1007/s00424-010-0913-2,2011.

Hyun, J. H., Eom, K., Lee, K.-H., Bae, J. Y., Bae, Y. C., Kim,M.-H., Kim, S., Ho, W.-K. and Lee, S.-H.. Kv1.2 mediatesheterosynaptic modulation of direct cortical synaptic inputs inCA3 pyramidal cells. Journal of Physiology 593:3617-3643,10.1113/JP270372, 2015.

Iancu, O. D., Zhang, J. M., Roberts, P. D. and Bell, C. C..Postsynaptic modulation of electrical EPSP size investigated usinga compartmental model. Neurocomputing 70:1685-1688, 2007.

Iannella, N. and Launey, T.. Modulating STDP balance impacts thedendritic mosaic. Frontiers in Computational Neuroscience 11:42,10.3389/fncom.2017.00042, 2017.

Iannella, N. and Tanaka, S.. Synaptic efficacy cluster formationacross the dendrite via STDP. Neuroscience Letters 403:24-29,2006.

Iannella, N. L., Launey, T. and Tanaka, S.. Spike timing-dependentplasticity as the origin of the formation of clustered synapticefficacy engrams. Frontiers in Computational Neuroscience 4:-,10.3389/fncom.2010.00021, 2010.

Iascone, D. M., Li, Y., Sümbül, U., Doron, M., Chen, H., Andreu,V., Goudy, F., Blockus, H., Abbott, L. F., Segev, I., Peng, H. andPolleux, F.. Whole-neuron synaptic mapping reveals spatiallyprecise excitatory/inhibitory balance limiting dendritic andsomatic spiking. Neuron 106:566-578.e8,10.1016/j.neuron.2020.02.015, 2020.

Iavarone, E., Yi, J., Shi, Y., Zandt, B.-J., O’Reilly, C., VanGeit, W., Rössert, C., Markram, H. and Hill, S. L..Experimentally-constrained biophysical models of tonic and burstfiring modes in thalamocortical neurons. PLoS ComputationalBiology 15:e1006753, 10.1371/journal.pcbi.1006753, 2019.

Ienna, A., Migliore, M. and Valenti, C.. Visualization ofsimulated arrhythmias due to gap junctions [Online]. Proceedingsof the 19th International Conference on Computer Systems andTechnologies :124–129, 10.1145/3274005.3274011, 2018.

Igras, E., Foweraker, J. P. A., Ware, A. and Hulliger, M..Computer simulation of rhythm-generating networks. Annals of theNew York Academy of Sciences 860:483-485, 1998.

Ilin, V. A., Bai, Q., Watson, A. M., Volgushev, M. and Burton, E.A.. Mechanism of pacemaker activity in zebrafish DC2/4dopaminergic neurons. Journal of Neuroscience 41:4141-4157,10.1523/JNEUROSCI.2124-20.2021, 2021.

Ilin, V., Malyshev, A., Wolf, F. and Volgushev, M.. Fastcomputations in cortical ensembles require rapid initiation ofaction potentials. Journal of Neuroscience 33:2281-2292,10.1523/JNEUROSCI.0771-12.2013, 2013.

Inoue, M., Hashimoto, Y., Kudo, Y. and Miyakawa, H.. Dendriticattenuation of synaptic potentials in the CA1 region of rathippocampal slices detected with an optical method. EuropeanJournal of Neuroscience 13:1711-1721, 2001.

Inoue, M., Lin, H., Imanaga, I., Ogawa, K. and Warashina, A..InsP(3) receptor type 2 and oscillatory and monophasic Ca2+transients in rat adrenal chromaffin cells. Cell Calcium35:59-70, 2004.

Iseri, E., Kosta, P., Paknahad, J., Bouteiller, J.-M. C. andLazzi, G.. A computational model simulates light-evoked responsesin the retinal cone pathway. Annual International Conference ofthe IEEE Engineering in Medicine and Biology Society2021:4482-4486, 10.1109/EMBC46164.2021.9630642, 2021.

Ito, H., Sales, A. C., Fry, C. H., Kanai, A. J., Drake, M. J. andPickering, A. E.. Probabilistic, spinally-gated control of bladderpressure and autonomous micturition by Barrington’s nucleus CRHneurons. eLife 910.7554/eLife.56605, 2020.

Ivanov, A. I., Launey, T., Gueritaud, J.-P. and Korogod, S. M..Electrical properties and morphology of motoneurons developing indissociated unpurified co-culture of embryonic rat brainstem,spinal cord and hindlimb tissues. Neurophysiology 30:305-309,1999.

Iyengar, R. S., Pithapuram, M. V., Singh, A. K. and Raghavan, M..Curated model development using NEUROiD: a web-based neuromotorintegration and design platform. Frontiers In Neuroinformatics13:56, 10.3389/fninf.2019.00056, 2019.

Jackson, M. B.. Molecular and Cellular Biophysics. New York, NY:address, Cambridge University Press, 2006.

Jackson, M. E. and Cauller, L. J.. Evaluation of simplifiedcompartmental models of reconstructed neocortical neurons for usein large-scale simulations of biological neural networks. BrainResearch Bulletin 44:7-17, 1997.

Jacobson, G. A., Diba, K., Yaron-Jakoubovitch, A., Oz, Y., Koch,C., Segev, I. and Yarom, Y.. Subthreshold voltage noise of ratneocortical pyramidal neurones. Journal of Physiology564:145-160, 2005.

Jacoby, J., Nath, A., Jessen, Z. F. and Schwartz, G. W.. Aself-regulating gap junction network of amacrine cells controlsnitric oxide release in the retina. Neuron 100:1149-1162.e5,10.1016/j.neuron.2018.09.047, 2018.

Jadi, M., Polsky, A., Schiller, J. and Mel, B. W..Location-dependent effects of inhibition on local spiking inpyramidal neuron dendrites. PLoS Computational Biology8:e1002550, 10.1371/journal.pcbi.1002550, 2012.

Jadi, M. P., Behabadi, B. F., Poleg-Polsky, A., Schiller, J. andMel, B. W.. An augmented two-layer model captures nonlinear analogspatial integration effects in pyramidal neuron dendrites.Proceedings of the IEEE 10210.1109/JPROC.2014.2312671, 2014.

Jaffe, D. B. and Carnevale, N. T.. Passive normalization ofsynaptic integration influenced by dendritic architecture.Journal of Neurophysiology 82:3268-3285, 1999.

Jaffe, D. B., Ross, W. N., Lisman, J. E., Miyakawa, H.,Lasser-Ross, N. and Johnston, D.. A model for dendritic Ca2+accumulation in hippocampal pyramidal neurons based onfluorescence imaging experiments. Journal of Neurophysiology71:1065-1077, 1994a.

Jaffe, D. B. and Brenner, R.. A computational model for how thefast afterhyperpolarization paradoxically increases gain inregularly firing neurons. Journal of Neurophysiology119:1506-1520, 10.1152/jn.00385.2017, 2018.

Jaffe, D. B., Fisher, S. A. and Brown, T. H.. Confocal laserscanning microscopy reveals voltage-gated calcium signals withinhippocampal dendritic spines. Journal of Neurobiology25:220-223, 1994b.

Jaffe, D. B., Wang, B. and Brenner, R.. Shaping of actionpotentials by type I and type II large-conductanceCa(2+)-activated K(+) channels. Neuroscience 192:205-218,10.1016/j.neuroscience.2011.06.028, 2011.

Jain, A. and Narayanan, R.. Degeneracy in the emergence ofspike-triggered average of hippocampal pyramidal neurons.Scientific Reports 10:374, 10.1038/s41598-019-57243-8, 2020.

Jain, V., Murphy-Baum, B. L., deRosenroll, G., Sethuramanujam, S.,Delsey, M., Delaney, K. R. and Awatramani, G. B.. The functionalorganization of excitation and inhibition in the dendrites ofmouse direction-selective ganglion cells. eLife910.7554/eLife.52949, 2020.

Jamieson, J., Boyd, H. D. and McLachlan, E. M.. Simulations toderive membrane resistivity in three phenotypes of guinea pigsympathetic postganglionic neuron. Journal of Neurophysiology89:2430-2440, 2003.

Jang, H. J. and Kwag, J.. GABA(A) receptor-mediated feedforwardand feedback inhibition differentially modulate hippocampal spiketiming-dependent plasticity. Biochemical and Biophysical ResearchCommunications 427:466-472, 10.1016/j.bbrc.2012.08.081, 2012.

Jang, H. J., Park, K., Lee, J., Kim, H., Han, K. H. and Kwag, J..GABAA receptor-mediated feedforward and feedback inhibitiondifferentially modulate the gain and the neural codetransformation in hippocampal CA1 pyramidal cells.Neuropharmacology 99:177-186, 10.1016/j.neuropharm.2015.06.005,2015.

Jarecki, B. W., Piekarz, A. D., Jackson, II, J. O. and Cummins, T.R.. Human voltage-gated sodium channel mutations that causeinherited neuronal and muscle channelopathies increase resurgentsodium currents. Journal of Clinical Investigation 120:369-378,10.1172/JCI40801, 2010.

Jarsky, T., Roxin, A., Kath, W. L. and Spruston, N.. Conditionaldendritic spike propagation following distal synaptic activationof hippocampal CA1 pyramidal neurons. Nature Neuroscience8:1667-1676, 2005.

Jarvis, S., Nikolic, K. and Schultz, S. R.. Neuronal gainmodulability is determined by dendritic morphology: acomputational optogenetic study. PLoS Computational Biology14:e1006027, 10.1371/journal.pcbi.1006027, 2018.

Jedlicka, P., Benuskova, L. and Abraham, W. C.. A voltage-basedSTDP rule combined with fast BCM-like metaplasticity accounts forLTP and concurrent “heterosynaptic” LTD in the dentate gyrus invivo. PLoS Computational Biology 11:e1004588,10.1371/journal.pcbi.1004588, 2015.

Jedlicka, P., Deller, T., Gutkin, B. S. and Backus, K. H..Activity-dependent intracellular chloride accumulation anddiffusion controls GABA(A) receptor-mediated synaptictransmission. Hippocampus 21:885-898, 10.1002/hipo.20804, 2011a.

Jedlicka, P., Deller, T. and Schwarzacher, S. W.. Computationalmodeling of GABA(A) receptor-mediated paired-pulse inhibition inthe dentate gyrus. Journal of Computational Neuroscience29:509-519, 10.1007/s10827-010-0214-y, 2010.

Jedlicka, P., Hoon, M., Papadopoulos, T., Vlachos, A., Winkels,R., Poulopoulos, A., Betz, H., Deller, T., Brose, N., Varoqueaux,F. and Schwarzacher, S. W.. Increased dentate gyrus excitabilityin neuroligin-2-deficient mice in vivo. Cerebral Cortex21:357-367, 10.1093/cercor/bhq100, 2011b.

Jeng, J., Tang, S., Molnar, A., Desai, N. J. and Fried, S. I.. Thesodium channel band shapes the response to electric stimulation inretinal ganglion cells. Journal of Neural Engineering 8:036022,10.1088/1741-2560/8/3/036022, 2011.

Jensen, T. P., Kopach, O., Reynolds, J. P., Savtchenko, L. P. andRusakov, D. A.. Release probability increases towards distaldendrites boosting high-frequency signal transfer in the rodenthippocampus. eLife 1010.7554/eLife.62588, 2021.

Jeub, M., Emrich, M., Pradier, B., Taha, O., Gailus-Durner, V.,Fuchs, H., de Angelis, M. H., Huylebroeck, D., Zimmer, A., Beck,H. and Racz, I.. The transcription factor Smad-interacting protein1 controls pain sensitivity via modulation of DRG neuronexcitability. Pain 152:2384-2398, 10.1016/j.pain.2011.07.006,2011.

Ji, H., Tucker, K. R., Putzier, I., Huertas, M. A., Horn, J. P.,Canavier, C. C., Levitan, E. S. and Shepard, P. D.. Functionalcharacterization of ether-à-go-go-related gene potassium channelsin midbrain dopamine neurons - implications for a role indepolarization block. European Journal of Neuroscience36:2906-2916, 10.1111/j.1460-9568.2012.08190.x, 2012.

Jiang, M. C., ElBasiouny, S. M., Collins, 3rd, W. F. and Heckman,C. J.. The transformation of synaptic to system plasticity inmotor output from the sacral cord of the adult mouse. Journal ofNeurophysiology 114:1987-2004, 10.1152/jn.00337.2015, 2015.

Jochems, A. and Yoshida, M.. A robust in vivo-like persistentfiring supported by a hybrid of intracellular and synapticmechanisms. PLoS ONE 10:e0123799, 10.1371/journal.pone.0123799,2015.

John, J. and Manchanda, R.. Modulation of synaptic potentials andcell excitability by dendritic K(IR) and K(As) channels in nucleusaccumbens medium spiny neurons: A computational study. Journal ofBiosciences 36:309-328, 10.1007/s12038-011-9039-8, 2011.

Johnson, C., Holmes, W. R., Brown, A. and Jung, P.. Minimizing thecaliber of myelinated axons by means of nodal constrictions.Journal of Neurophysiology 114:1874-1884, 10.1152/jn.00338.2015,2015.

Johnson, M. D. and McIntyre, C. C.. Quantifying the neuralelements activated and inhibited by globus pallidus deep brainstimulation. Journal of Neurophysiology 100:2549-2563, 2008.

Johnson, M. D., Zhang, J., Ghosh, D., McIntyre, C. C. and Vitek,J. L.. Neural targets for relieving parkinsonian rigidity andbradykinesia with pallidal deep brain stimulation.. Journal ofNeurophysiology 108:567-577, 10.1152/jn.00039.2012, 2012.

Johnston, D. and Wu, S. M.-S.. Foundations of CellularNeurophysiology. Cambridge, MA: address, MIT Press, 1995.

Johnston, J., Forsythe, I. D. and Kopp-Scheinpflug, C.. Goingnative: voltage-gated potassium channels controlling neuronalexcitability. Journal of Physiology 588:3187-3200,10.1113/jphysiol.2010.191973, 2010.

Johnston, J., Griffin, S. J., Baker, C. and Forsythe, I. D.. Kv4(A-type) potassium currents in the mouse medial nucleus of thetrapezoid body. European Journal of Neuroscience 27:1391-1399,2008a.

Johnston, J., Griffin, S. J., Baker, C., Skrzypiec, A., Chernova,T. and Forsythe, I. D.. Initial segment Kv2.2 channels mediate aslow delayed rectifier and maintain high frequency actionpotential firing in medial nucleus of the trapezoid body neurons.Journal of Physiology 586:3493-3509, 2008b.

Johnston, J. and Lagnado, L.. General features of the retinalconnectome determine the computation of motion anticipation.eLife 4:e06250, 10.7554/eLife.06250, 2015.

Jones, K. E., Carlin, K. P., Rempel, J., Jordan, L. M. andBrownstone, R. M.. Simulation techniques for localising andidentifying the kinetics of calcium channels in dendriticneurones. Neurocomputing 32:173-180, 2000.

Jones, M. G., Rogers, E. R., Harris, J. P., Sullivan, A.,Ackermann, D. M., Russo, M., Lempka, S. F. and McMahon, S. B..Neuromodulation using ultra low frequency current waveformreversibly blocks axonal conduction and chronic pain. ScienceTranslational Medicine 1310.1126/scitranslmed.abg9890, 2021.

Jones, P. W. and Gabbiani, F.. Impact of neural noise on asensory-motor pathway signaling impending collision. Journal ofNeurophysiology 107:1067-1079, 10.1152/jn.00607.2011, 2012.

Jones, S. R.. Biophysically principled computational neuralnetwork modeling of magneto-/electro-encephalography measuredhuman brain oscillations. Neuromethods 67:459-485, DOI10.1007/7657_2011_16, 2012.

Jones, S. R., Pritchett, D. L., Stufflebeam, S. M., Hamalainen, M.and Moore, C. I.. Neural correlates of tactile detection: acombined magnetoencephalography and biophysically basedcomputational modeling study. Journal of Neuroscience27:10751-10764, 2007.

Jones, S., Zylberberg, J. and Schoppa, N.. Cellular and synapticmechanisms that differentiate mitral cells and superficial tuftedcells into parallel output channels in the olfactory bulb.Frontiers in Cellular Neuroscience 14:614377,10.3389/fncel.2020.614377, 2020.

Jones, S. L., To, M.-S. and Stuart, G. J.. Dendritic smallconductance calcium-activated potassium channels activated byaction potentials suppress EPSPs and gate spike-timing dependentsynaptic plasticity. eLife 610.7554/eLife.30333, 2017.

Jones, S. R., Pritchett, D. L., Sikora, M. A., Stufflebeam, S. M.,Hämäläinen, M. and Moore, C. I.. Quantitative analysis andbiophysically realistic neural modeling of the MEG mu rhythm:rhythmogenesis and modulation of sensory-evoked responses..Journal of Neurophysiology 102:3554-3572, 10.1152/jn.00535.2009,2009.

Joos, B., Barlow, B. M. and Morris, C. E.. Calculating theconsequences of left-shifted Nav channel activity in sickexcitable cells. Handbook of Experimental Pharmacology246:401-422, 10.1007/164_2017_63, 2018.

Joucla, S., Branchereau, P., Cattaert, D. and Yvert, B..Extracellular neural microstimulation may activate much largerregions than expected by simulations: a combined experimental andmodeling study. PLoS ONE 7:e41324, 10.1371/journal.pone.0041324,2012a.

Joucla, S., Glière, A. and Yvert, B.. Current approaches to modelextracellular electrical neural microstimulation. Frontiers inComputational Neuroscience 8:13, 10.3389/fncom.2014.00013, 2014.

Joucla, S., Rousseau, L. and Yvert, B.. Focalizing electricalneural stimulation with penetrating microelectrode arrays: amodeling study. Journal of Neuroscience Methods 209:250-254,10.1016/j.jneumeth.2012.05.006, 2012b.

Joucla, S. and Yvert, B.. Improved focalization of electricalmicrostimulation using microelectrode arrays: a modeling study.PLoS ONE 4:e4828, 10.1371/journal.pone.0004828, 2009a.

Joucla, S. and Yvert, B.. The “mirror” estimate: an intuitivepredictor of membrane polarization during extracellularstimulation. Biophysical Journal 96:3495-3508, 2009b.

Justus, D., Dalügge, D., Bothe, S., Fuhrmann, F., Hannes, C.,Kaneko, H., Friedrichs, D., Sosulina, L., Schwarz, I., Elliott, D.A., Schoch, S., Bradke, F., Schwarz, M. K. and Remy, S..Glutamatergic synaptic integration of locomotion speed viaseptoentorhinal projections. Nature Neuroscience 20:16-19,10.1038/nn.4447, 2017.

Kabaso, D., Coskren, P. J., Henry, B. I., Hof, P. R. and Wearne,S. L.. The electrotonic structure of pyramidal neuronscontributing to prefrontal cortical circuits in macaque monkeys issignificantly altered in aging. Cerebral Cortex 19:2248-2268,2009.

Kagan, Z. B., RamRakhyani, A. K., Lazzi, G., Normann, R. A. andWarren, D. J.. In vivo magnetic stimulation of rat sciatic nervewith centimeter- and millimeter-scale solenoid coils. IEEETransactions on Neural Systems and Rehabilitation Engineering24:1138-1147, 10.1109/TNSRE.2016.2544247, 2016.

Kager, H., Wadman, W. J. and Somjen, G. G.. Simulated seizures andspreading depression in a neuron model incorporating interstitialspace and ion concentrations. Journal of Neurophysiology84:495-512, 2000.

Kager, H., Wadman, W. J. and Somjen, G. G.. Conditions for thetriggering of spreading depression studied with computersimulations. Journal of Neurophysiology 88:2700-2712, 2002.

Kager, H., Wadman, W. J. and Somjen, G. G.. Seizure-likeafterdischarges simulated in a model neuron. Journal ofComputational Neuroscience 22:105-128, 2007.

Kahlig, K. M., Misra, S. N. and George, A.L., J.. Impairedinactivation gate stabilization predicts increased persistentcurrent for an epilepsy-associated SCN1A mutation. Journal ofNeuroscience 26:10958-10966, 2006.

Kahlig, K. M., Hirakawa, R., Liu, L., George, Jr, A. L.,Belardinelli, L. and Rajamani, S.. Ranolazine reduces neuronalexcitability by interacting with inactivated states of brainsodium channels. Molecular Pharmacology 85:162-174,10.1124/mol.113.088492, 2014.

Kairiss, E. W., Mainen, Z. F., Claiborne, B. J. and Brown, T. H..Dendritic control of Hebbian computations. In: Analysis andModeling of Neural Systems, edited by Eeckman, F.. Boston, MA:Boston, MA, Kluwer, 1992, pp. 69-83.

Kalmbach, B. E., Buchin, A., Long, B., Close, J., Nandi, A.,Miller, J. A., Bakken, T. E., Hodge, R. D., Chong, P., de Frates,R., Dai, K., Maltzer, Z., Nicovich, P. R., Keene, C. D.,Silbergeld, D. L., Gwinn, R. P., Cobbs, C., Ko, A. L., Ojemann, J.G., Koch, C., Anastassiou, C. A., Lein, E. S. and Ting, J. T..h-Channels contribute to divergent intrinsic membrane propertiesof supragranular pyramidal neurons in human versus mouse cerebralcortex. Neuron 100:1194-1208.e5, 10.1016/j.neuron.2018.10.012,2018.

Kamaleddin, M. A.. Degeneracy in the nervous system: from neuronalexcitability to neural coding. BioEssays 44:e2100148,10.1002/bies.202100148, 2022.

Kameda, H., Hioki, H., Tanaka, Y. H., Tanaka, T., Sohn, J.,Sonomura, T., Furuta, T., Fujiyama, F. and Kaneko, T..Parvalbumin-producing cortical interneurons receive inhibitoryinputs on proximal portions and cortical excitatory inputs ondistal dendrites. European Journal of Neuroscience 35:838-854,10.1111/j.1460-9568.2012.08027.x, 2012.

Kameneva, T., Grayden, D. B., Meffin, H. and Burkitt, A. N..Simulating electrical stimulation of degenerative retinal ganglioncells with bi-phasic pulse trains [Online]. IEEE Engineering inMedicine and Biology Society Proceedings 2011:7103-7106,10.1109/IEMBS.2011.6091795, 2011a.

Kameneva, T., Maturana, M. I., Hadjinicolaou, A. E., Cloherty, S.L., Ibbotson, M. R., Grayden, D. B., Burkitt, A. N. and Meffin,H.. Retinal ganglion cells: mechanisms underlying depolarizationblock and differential responses to high frequency electricalstimulation of ON and OFF cells. Journal of Neural Engineering13:016017, 10.1088/1741-2560/13/1/016017, 2016.

Kameneva, T., Meffin, H. and Burkitt, A. N.. Differentialstimulation of ON and OFF retinal ganglion cells: a modeling study[Online]. IEEE Engineering in Medicine and Biology SocietyProceedings 2010:4246-4249, 10.1109/IEMBS.2010.5627176, 2010.

Kameneva, T., Meffin, H. and Burkitt, A. N.. Modelling intrinsicelectrophysiological properties of ON and OFF retinal ganglioncells. Journal of Computational Neuroscience 31:547-561,10.1007/s10827-011-0322-3, 2011b.

Kamitani, Y., Bhalodia, V. M., Kubota, Y. and Shimojo, S.. A modelof magnetic stimulation of neocortical neurons. Neurocomputing38:697-703, 2001.

Kamiya, H.. Excitability tuning of axons by afterdepolarization.Frontiers In Cellular Neuroscience 13:407,10.3389/fncel.2019.00407, 2019a.

Kamiya, H.. Modeling analysis of axonal after potential athippocampal mossy fibers. Frontiers In Cellular Neuroscience13:210, 10.3389/fncel.2019.00210, 2019b.

Kampa, B. M. and Stuart, G. J.. Calcium spikes in basal dendritesof layer 5 pyramidal neurons during action potential bursts.Journal of Neuroscience 26:7424-7432, 2006.

Kanold, P. O. and Manis, P. B.. A physiologically based model ofdischarge pattern regulation by transient K+ currents in cochlearnucleus pyramidal cells. Journal of Neurophysiology 85:523-538,2001.

Kanold, P. O. and Manis, P. B.. Encoding the timing of inhibitoryinputs. Journal of Neurophysiology 93:2887-2897, 2005.

Kanyshkova, T., Meuth, P., Bista, P., Liu, Z., Ehling, P., Caputi,L., Doengi, M., Chetkovich, D. M., Pape, H.-C. and Budde, T..Differential regulation of HCN channel isoform expression inthalamic neurons of epileptic and non-epileptic rat strains.Neurobiology of Disease 45:450-461, 10.1016/j.nbd.2011.08.032,2012.

Kanyshkova, T., Pawlowski, M., Meuth, P., Dube, C., Bender, R. A.,Brewster, A. L., Baumann, A., Baram, T. Z., Pape, H. C. and Budde,T.. Postnatal expression pattern of HCN channel isoforms inthalamic neurons: relationship to maturation of thalamocorticaloscillations. Journal of Neuroscience 29:8847-8857, 2009.

Kaplan, B. A. and Lansner, A.. A spiking neural network model ofself-organized pattern recognition in the early mammalianolfactory system. Frontiers in Neural Circuits 8:5,10.3389/fncir.2014.00005, 2014.

Kapur, A., Lytton, W. W., Ketchum, K. L. and Haberly, L. B..Regulation of the NMDA component of EPSPs by different componentsof postsynaptic GABAergic inhibition: computer simulation analysisin piriform cortex. Journal of Neurophysiology 78:2546-2559,1997a.

Kapur, A., Pearce, R. A., Lytton, W. W. and Haberly, L. B..GABAA-mediated IPSCs in piriform cortex have fast and slowcomponents with different properties and locations on pyramidalcells. Journal of Neurophysiology 78:2531-2545, 1997b.

Karadas, M., Olsson, C., Winther Hansen, N., Perrier, J.-F., Webb,J. L., Huck, A., Andersen, U. L. and Thielscher, A.. In-vitrorecordings of neural magnetic activity from the auditory brainstemusing color centers in diamond: a simulation study. Frontiers inNeuroscience 15:643614, 10.3389/fnins.2021.643614, 2021.

Karadas, M., Wojciechowski, A. M., Huck, A., Dalby, N. O.,Andersen, U. L. and Thielscher, A.. Feasibility and resolutionlimits of opto-magnetic imaging of neural network activity inbrain slices using color centers in diamond. Scientific Reports8:4503, 10.1038/s41598-018-22793-w, 2018.

Karmarkar, U. R. and Buonomano, D. V.. A model of spike-timingdependent plasticity: one or two coincidence detectors?. Journalof Neurophysiology 88:507-513, 2002.

Karmarkar, U. R. and Buonomano, D. V.. Timing in the absence ofclocks: encoding time in neural network states. Neuron53:427-438, 2007.

Karmarkar, U. R., Najarian, M. T. and Buonomano, D. V.. Mechanismsand significance of spike-timing dependent plasticity. BiologicalCybernetics 87:373-382, 2002.

Kase, D. and Imoto, K.. The role of HCN channels on membraneexcitability in the nervous system. Journal of SignalTransduction 2012:619747, 10.1155/2012/619747, 2012.

Kase, D., Inoue, T. and Imoto, K.. Roles of the subthalamicnucleus and subthalamic HCN channels in absence seizures. Journalof Neurophysiology 107:393-406, 10.1152/jn.00937.2010, 2012.

Kase, D., Uta, D., Ishihara, H. and Imoto, K.. Inhibitory synaptictransmission from the substantia nigra pars reticulata to theventral medial thalamus in mice. Neuroscience Research 97:26-35,10.1016/j.neures.2015.03.007, 2015.

Kaspirzhnyi, A. V.. Local oscillatory properties of the dendriticmembrane of hippocampal pyramidal neurons: a simulation study.Neurophysiology 49:178-182, 10.1007/s11062-017-9671-5, 2017.

Kaspirzhnyi, A. V.. Conditions of switching between local electricactivity modes in the dendritic membrane of hippocampal pyramidalneurons: a simulation study. Neurophysiology 50:152-158,10.1007/s11062-018-9731-5, 2018.

Katona, G., Kaszás, A., Turi, G. F., Hájos, N., Tamás, G., Vizi,E. S. and Rózsa, B.. Roller Coaster Scanning reveals spontaneoustriggering of dendritic spikes in CA1 interneurons. Proceedingsof the National Academy of Sciences of the United States ofAmerica 108:2148-2153, 10.1073/pnas.1009270108, 2011.

Katyare, N. and Sikdar, S. K.. Theta resonance and synapticmodulation scale activity patterns in the medial entorhinal cortexstellate cells. Annals of the New York Academy of Sciences1478:92-112, 10.1111/nyas.14434, 2020.

Katz, Y., Menon, V., Nicholson, D. A., Geinisman, Y., Kath, W. L.and Spruston, N.. Synapse distribution suggests a two-stage modelof dendritic integration in CA1 pyramidal neurons. Neuron63:171-177, 2009.

Keane, M., Deyo, S., Abosch, A., Bajwa, J. A. and Johnson, M. D..Improved spatial targeting with directionally segmented deep brainstimulation leads for treating essential tremor. Journal ofNeural Engineering 9:046005, 10.1088/1741-2560/9/4/046005, 2012.

Keller, A., Ambert, N., Legendre, A., Bedez, M., Bouteiller,J.-M., Bischoff, S., Baudry, M. and Moussaoui, S.. Impact ofsynaptic localization and subunit composition of ionotropicglutamate receptors on synaptic function: modeling and simulationstudies. IEEE/ACM Transactions on Computational Biology andBioinformatics 10.1109/TCBB.2016.2561932, 2016.

Keller, A. F., Bouteiller, J.-M. C. and Berger, T. W.. Developmentof a computational approach/model to explore NMDA receptorsfunctions. Methods in Molecular Biology 1677:291-306,10.1007/978-1-4939-7321-7_17, 2017.

Kelley, C., Dura-Bernal, S., Neymotin, S. A., Antic, S. D.,Carnevale, N. T., Migliore, M. and Lytton, W. W.. Effects of Ihand TASK-like shunting current on dendritic impedance in layer 5pyramidal-tract neurons. Journal of Neurophysiology125:1501-1516, 10.1152/jn.00015.2021, 2021.

Kent, A. R. and Grill, W. M.. Model-based analysis and design ofnerve cuff electrodes for restoring bladder function by selectivestimulation of the pudendal nerve. Journal of Neural Engineering10:036010, 10.1088/1741-2560/10/3/036010, 2013a.

Kent, A. R. and Grill, W. M.. Neural origin of evoked potentialsduring thalamic deep brain stimulation. Journal ofNeurophysiology 110:826-843, 10.1152/jn.00074.2013, 2013b.

Kent, A. R. and Grill, W. M.. Analysis of deep brain stimulationelectrode characteristics for neural recording. Journal of NeuralEngineering 11:046010, 10.1088/1741-2560/11/4/046010, 2014.

Kent, A. R., Min, X., Hogan, Q. H. and Kramer, J. M.. Mechanismsof dorsal root ganglion stimulation in pain suppression: acomputational modeling analysis. Neuromodulation 21:234-246,10.1111/ner.12754, 2018.

Kent, A. R., Swan, B. D., Brocker, D. T., Turner, D. A., Gross, R.E. and Grill, W. M.. Measurement of evoked potentials duringthalamic deep brain stimulation. Brain Stimulation 8:42-56,10.1016/j.brs.2014.09.017, 2015.

Keren, N., Bar-Yehuda, D. and Korngreen, A.. Experimentally guidedmodelling of dendritic excitability in rat neocortical pyramidalneurones. Journal of Physiology 587:1413-1437, 2009.

Keren, N., Peled, N. and Korngreen, A.. Constraining compartmentalmodels using multiple voltage recordings and genetic algorithms.Journal of Neurophysiology 94:3730-3742, 2005.

Kerr, C. C., Neymotin, S. A., Chadderdon, G. L., Fietkiewicz, C.T., Francis, J. T. and Lytton, W. W.. Electrostimulation as aprosthesis for repair of information flow in a computer model ofneocortex. IEEE Transactions on Neural Systems and RehabilitationEngineering 20:153-160, 10.1109/TNSRE.2011.2178614, 2012.

Kerr, C. C., Van Albada, S. J., Neymotin, S. A., Chadderdon, G.L., Robinson, P. A. and Lytton, W. W.. Cortical information flowin Parkinson’s disease: a composite network/field model.Frontiers in Computational Neuroscience 7:39,10.3389/fncom.2013.00039, 2013.

Khadka, N., Liu, X., Zander, H., Swami, J., Rogers, E., Lempka, S.F. and Bikson, M.. Realistic anatomically detailed open-sourcespinal cord stimulation (RADO-SCS) model. Journal of NeuralEngineering 17:026033, 10.1088/1741-2552/ab8344, 2020.

Khaliq, Z. M., Gouwens, N. W. and Raman, I. M.. The contributionof resurgent sodium current to high-frequency firing in Purkinjeneurons: an experimental and modeling study. Journal ofNeuroscience 23:4899-4912, 2003.

Khatri, S. N., Wu, W.-C., Yang, Y. and Pugh, J. R.. Mechanisms ofGABAB receptor enhancement of extrasynaptic GABAA receptorcurrents in cerebellar granule cells. Scientific Reports9:16683, 10.1038/s41598-019-53087-4, 2019.

Kidd, J. F. and Sattelle, D. B.. The effects of amyloid peptideson A-type K(+) currents of Drosophila larval cholinergic neurons:modeled actions on firing properties. Invertebrate Neuroscience6:207-213, 10.1007/s10158-006-0034-y, 2006.

Kilgore, K. L. and Bhadra, N.. Nerve conduction block utilisinghigh-frequency alternating current. Medical and BiologicalEngineering and Computing 42:394-406, 2004.

Kim, D., Paré, D. and Nair, S. S.. Assignment of model amygdalaneurons to the fear memory trace depends on competitive synapticinteractions. Journal of Neuroscience 33:14354-14358,10.1523/JNEUROSCI.2430-13.2013, 2013a.

Kim, D., Paré, D. and Nair, S. S.. Mechanisms contributing to theinduction and storage of Pavlovian fear memories in the lateralamygdala. Learning and Memory 20:421-430, 10.1101/lm.030262.113,2013b.

Kim, D., Samarth, P., Feng, F., Pare, D. and Nair, S. S.. Synapticcompetition in the lateral amygdala and the stimulus specificityof conditioned fear: a biophysical modeling study. BrainStructure and Function 221:2163-2182, 10.1007/s00429-015-1037-4,2016.

Kim, H.. Impact of the localization of dendritic calciumpersistent inward current on the input-output properties of spinalmotoneuron pool: a computational study. Journal of AppliedPhysiology 123:1166-1187, 10.1152/japplphysiol.00034.2017, 2017a.

Kim, H.. Muscle length-dependent contribution of motoneuron Cav1.3channels to force production in model slow motor unit. Journal ofApplied Physiology 123:88-105, 10.1152/japplphysiol.00491.2016,2017b.

Kim, H.. Linking motoneuron PIC location to motor function inclosed-loop motor unit system including afferent feedback: acomputational investigation. eNeuro 7:ENEURO.0014-20.2020,10.1523/eneuro.0014-20.2020, 2020.

Kim, H. G. and Connors, B. W.. Apical dendrites of the neocortex:correlation between sodium- and calcium-dependent spiking andpyramidal cell morphology. Journal of Neuroscience 13:5301-5311,1993.

Kim, H. and Heckman, C. J.. Foundational dendritic processing thatis independent of the cell type-specific structure in modelprimary neurons. Neuroscience Letters 609:203-209,10.1016/j.neulet.2015.10.017, 2015.

Kim, H. and Heckman, C. J.. Data for spatial characterization ofAC signal propagation over primary neuron dendrites. Data inBrief 6:341-344, 10.1016/j.dib.2015.12.018, 2016.

Kim, H. and Jones, K. E.. The retrograde frequency response ofpassive dendritic trees constrains the nonlinear firing behaviourof a reduced neuron model. PLoS ONE 7:e43654,10.1371/journal.pone.0043654, 2012.

Kim, H., Jones, K. E. and Heckman, C. J.. Asymmetry in signalpropagation between the soma and dendrites plays a key role indetermining dendritic excitability in motoneurons. PLoS ONE9:e95454, 10.1371/journal.pone.0095454, 2014.

Kim, H. and Kim, M.. PyMUS: python-based simulation software forvirtual experiments on motor unit system. Frontiers inNeuroinformatics 12:15, 10.3389/fninf.2018.00015, 2018.

Kim, H., Major, L. A. and Jones, K. E.. Derivation of cableparameters for a reduced model that retains asymmetric voltageattenuation of reconstructed spinal motor neuron dendrites..Journal of Computational Neuroscience 27:321-336,10.1007/s10827-009-0145-7, 2009.

Kim, H., Sanderco*ck, T. G. and Heckman, C. J.. An actionpotential-driven model of soleus muscle activation dynamics forlocomotor-like movements. Journal of Neural Engineering12:046025, 10.1088/1741-2560/12/4/046025, 2015a.

Kim, J., Nadal, M. S., Clemens, A. M., Baron, M., Jung, S. C.,Misumi, Y., Rudy, B. and Hoffman, D. A.. Kv4 accessory proteinDPPX (DPP6) is a critical regulator of membrane excitability inhippocampal CA1 pyramidal neurons. Journal of Neurophysiology100:1835-1847, 2008.

Kim, J. K. and Fiorillo, C. D.. Theory of optimal balance predictsand explains the amplitude and decay time of synaptic inhibition.Nature Communications 8:14566, 10.1038/ncomms14566, 2017.

Kim, Y., Hsu, C.-L., Cembrowski, M. S., Mensh, B. D. and Spruston,N.. Dendritic sodium spikes are required for long-termpotentiation at distal synapses on hippocampal pyramidal neurons.eLife 4:e06414, 10.7554/eLife.06414, 2015b.

King, J. G., Hines, M., Hill, S., Goodman, P. H., Markram, H. andSchürmann, F.. A component-based extension framework forlarge-scale parallel simulations in NEURON. Frontiers inNeuroinformatics 3:10, 10.3389/neuro.11.010.2009, 2009.

Kish, K. E., Graham, R. D., Wong, K. Y. and Weiland, J. D.. Theeffect of axon trajectory on retinal ganglion cell activation withepiretinal stimulation [Online]. Proc. 10th Int. IEEE/EMBS Conf.Neural Engineering :263-266, 10.1109/NER49283.2021.9441073, 2021.

Kits, K. S., de Vlieger, T. A., Kooi, B. W. and Mansvelder, H. D..Diffusion barriers limit the effect of mobile calcium buffers onexocytosis of large dense cored vesicles. Biophysical Journal76:1693-1705, 1999.

Klefenz, F. and Harczos, T.. Periodicity pitch perception.Frontiers in Neuroscience 14:486, 10.3389/fnins.2020.00486,2020.

Klein, P. M., Lu, A. C., Harper, M. E., McKown, H. M., Morgan, J.D. and Beenhakker, M. P.. Tenuous inhibitory GABAergic signalingin the reticular thalamus. Journal of Neuroscience 38:1232-1248,10.1523/JNEUROSCI.1345-17.2017, 2018a.

Klein, V., Davids, M., Wald, L. L., Schad, L. R. and Guérin, B..Sensitivity analysis of neurodynamic and electromagneticsimulation parameters for robust prediction of peripheral nervestimulation. Physics in Medicine and Biology 64:015005,10.1088/1361-6560/aaf308, 2018b.

Knowlton, C. J., Ziouziou, T. I., Hammer, N., Roeper, J. andCanavier, C. C.. Inactivation mode of sodium channels defines thedifferent maximal firing rates of conventional versus atypicalmidbrain dopamine neurons. PLoS Computational Biology17:e1009371, 10.1371/journal.pcbi.1009371, 2021.

Knox, A. T., Glauser, T., Tenney, J., Lytton, W. W. and Holland,K.. Modeling pathogenesis and treatment response in childhoodabsence epilepsy. Epilepsia 59:135-145, 10.1111/epi.13962, 2018.

Kobayashi, C., Okamoto, K., Mochizuki, Y., Urakubo, H., Funayama,K., Ishikawa, T., Kashima, T., Ouchi, A., Szymanska, A. F., Ishii,S. and Ikegaya, Y.. GABAergic inhibition reduces the impact ofsynaptic excitation on somatic excitation. Neuroscience Research146:22-35, 10.1016/j.neures.2018.09.014, 2019.

Kobayashi, K., Akiyama, T., Ohmori, I., Yoshinaga, H. and Gotman,J.. Action potentials contribute to epileptic high-frequencyoscillations recorded with electrodes remote from neurons.Clinical Neurophysiology 126:873-881,10.1016/j.clinph.2014.08.010, 2015.

Koch, C., Bernander, O. and Douglas, R. J.. Do neurons have avoltage or a current threshold for action potential initiation?.Journal of Computational Neuroscience 2:63-82, 1995.

Koch, C., Rapp, M. and Segev, I.. A brief history of time(constants). Cerebral Cortex 6:93-101, 1996.

Kochenov, A. V., Poddubnaya, E. P., Makedonsky, I. A. and Korogod,S. M.. Biophysical processes in a urinary bladder detrusor smoothmuscle cell during rehabilitation stimulation of parasympatheticefferents: a simulation study. Neurophysiology 48:156-165,10.1007/s11062-016-9583-9, 2016.

Kochenov, А. V., Poddubnaya, E. P., Makedonsky, I. A. and Korogod,S. М.. Biophysical processes in a urinary bladder detrusor smoothmuscle cell during rehabilitation electrostimulation: a simulationstudy. Neurophysiology 47:174-184, 10.1007/s11062-015-9518-x,2015a.

Kochenov, А. V., Poddubnaya, Y. P., Makedonsky, I. A. and Korogod,S. М.. Excitability characteristics of a urinary bladder detrusorsmooth muscle cell as a basis for choosing parameters ofrehabilitation electrostimulation: a simulation study.Neurophysiology 47:94-101, 10.1007/s11062-015-9504-3, 2015b.

Kochubey, S. A., Savtchenko, L. P. and Sem’yanov, A. V..Modulation of oscillatory synchronization in an interneuronalnetwork under the influence of tonic GABA-ergic inhibition: amodel study. Neurophysiology 42:318-324,10.1007/s11062-011-9165-9, 2011a.

Kochubey, S. and Savtchenko, L.. Geometrical size of the neuronalnetwork plays a key role in synchronization of its activity.Neurophysiology 40:224-227, 2008.

Kochubey, S., Semyanov, A. and Savtchenko, L.. Network withshunting synapses as a non-linear frequency modulator. NeuralNetworks 24:407-416, 10.1016/j.neunet.2011.03.005, 2011b.

Koelman, L. A. and Lowery, M. M.. Beta-band resonance andintrinsic oscillations in a biophysically detailed model of thesubthalamic nucleus-globus pallidus network. Frontiers InComputational Neuroscience 13:77, 10.3389/fncom.2019.00077, 2019.

Kohl, C., Parviainen, T. and Jones, S. R.. Neural mechanismsunderlying human auditory evoked responses revealed by HumanNeocortical Neurosolver. Brain Topography10.1007/s10548-021-00838-0, 2021.

Koizumi, A., Hayashida, Y., Kiuchi, T., Yamada, Y., Fujii, A.,Yagi, T. and Kaneko, A.. The interdependence and independence ofamacrine cell dendrites: patch-clamp recordings and simulationstudies on cultured gabaergic amacrine cells. Journal ofIntegrative Neuroscience 4:363-380, 2005.

Koizumi, A., Jakobs, T. C. and Masland, R. H.. Inward rectifyingcurrents stabilize the membrane potential in dendrites of mouseamacrine cells: patch-clamp recordings and single-cell RT-PCR.Molecular Vision 10:328-340, 2004.

Koizumi, A., Jakobs, T. C. and Masland, R. H.. Regular mosaic ofsynaptic contacts among three retinal neurons. Journal ofComparative Neurology 519:341-357, 10.1002/cne.22522, 2011.

Koizumi, A., Takayasu, M. and Takayasu, H.. Asynmetric inhibitoryconnections enhance directional selectivity in a three-layersimulation model of retinal networks. Journal of IntegrativeNeuroscience 9:337-350, 10.1142/S0219635210002469, 2010.

Kolbaev, S. N., Mohapatra, N., Chen, R., Lombardi, A., Staiger, J.F., Luhmann, H. J., Jedlicka, P. and Kilb, W.. NKCC-1 mediated Cl-uptake in immature CA3 pyramidal neurons is sufficient tocompensate phasic GABAergic inputs. Scientific Reports 10:18399,10.1038/s41598-020-75382-1, 2020.

Kole, M. H. P., Brauer, A. U. and Stuart, G. J.. Inheritedcortical HCN1 channel loss amplifies dendritic calciumelectrogenesis and burst firing in a rat absence epilepsy model.Journal of Physiology 578:507-525, 2007.

Kole, M. H. P., Hallermann, S. and Stuart, G. J.. Single Ihchannels in pyramidal neuron dendrites: properties, distribution,and impact on action potential output. Journal of Neuroscience26:1677-1687, 2006.

Kole, M. H. P., Ilschner, S. U., Kampa, B. M., Williams, S. R.,Ruben, P. C. and Stuart, G. J.. Action potential generationrequires a high sodium channel density in the axon initialsegment. Nature Neuroscience 11:178-186, 2008.

Komendantov, A. O. and Ascoli, G. A.. Dendritic excitability andneuronal morphology as determinants of synaptic efficacy. Journalof Neurophysiology 101:1847-1866, 2009.

Konstantoudaki, X., Papoutsi, A., Chalkiadaki, K., Poirazi, P. andSidiropoulou, K.. Modulatory effects of inhibition on persistentactivity in a cortical microcircuit model. Frontiers in NeuralCircuits 8:7, 10.3389/fncir.2014.00007, 2014.

Koos, T., Tepper, J. M. and Wilson, C. J.. Comparison of IPSCsevoked by spiny and fast-spiking neurons in the neostriatum.Journal of Neuroscience 24:7916-7922, 2004.

Kopell, N., Börgers, C., Pervouchine, D., Malerba, P. and Tort.,A.. Gamma and theta rhythms in biophysical models of hippocampalcircuits. In: Hippocampal Microcircuits, edited by Cutsuridis,V., Graham, B., Cobb, S. and Vida, I.. Springer, 2010, pp.423-457.

Kopp-Scheinpflug, C., Tozer, A. J. B., Robinson, S. W., Tempel, B.L., Hennig, M. H. and Forsythe, I. D.. The sound of silence: ionicmechanisms encoding sound termination. Neuron 71:911-925,10.1016/j.neuron.2011.06.028, 2011.

Korngreen, A., Kaiser, K. M. and Zilberter, Y.. Subthresholdinactivation of voltage-gated K+ channels modulates actionpotentials in neocortical bitufted interneurones from rats.Journal of Physiology 562:421-437, 2005.

Korogod, S. M. and Kulagina, I. B.. Conditions of dominanteffectiveness of distal sites of active uniform dendrites withdistributed tonic inputs. Neurophysiology 30:310-315, 1998a.

Korogod, S. M. and Kulagina, I. B.. Geometry-induced features ofcurrent transfer in neuronal dendrites with tonically activatedconductances. Biological Cybernetics 79:231-240, 1998b.

Korogod, S. M., Kulagina, I. B., Horcholle-Bossavit, G., Gogan, P.and Tyc-Dumont, S.. Activity-dependent reconfiguration of theeffective dendritic field of motoneurons. Journal of ComparativeNeurology 422:18-34, 2000.

Korogod, S. M., Kulagina, I. B., Kukushka, V. I., Gogan, P. andTyc-Dumont, S.. Spatial reconfiguration of charge transfereffectiveness in active bistable dendritic arborizations.European Journal of Neuroscience 16:2260-2270, 2002.

Korogod, S. M., Kulagina, I. B. and Tyc-Dumont, S.. Transferproperties of neuronal dendrites with tonically activatedconductances. Neurophysiology 30:203-207, 1998.

Korogod, S. M. and Chernetchenko, D. V.. Nature of electricaltristability in a neuron model with bistable asymmetricaldendrites. Neurophysiology 40:412-416, 2008.

Korogod, S. M. and Demianenko, L. E.. Temperature deactivation ofthe depolarizing TRP current as a mechanism of hypothermia-relatedinhibition of neuronal activity: a model study. Neurophysiology48:324-331, 10.1007/s11062-017-9605-2, 2016.

Korogod, S. M. and Kaspirzhny, A. V.. Spatial heterogeneity ofpassive electrical transfer properties of neuronal dendrites dueto their metrical asymmetry. Biological Cybernetics 105:305-317,10.1007/s00422-011-0467-1, 2011.

Korogod, S. M. and Kochenov, A. V.. Mathematical model of thecalcium-dependent chloride current in a smooth muscle cell.Neurophysiology 45:369-378, 10.1007/s11062-013-9382-5, 2013.

Korogod, S. M., Kochenov, A. V. and Makedonsky, I. A.. Biophysicalmechanism of parasympathetic excitation of urinary bladder smoothmuscle cells: a simulation study. Neurophysiology 46:293-299,10.1007/s11062-014-9447-0, 2014a.

Korogod, S. M., Kulagina, I. B. and Kukoushka, V. I.. Impulsecoding of electrical and synaptic input actions by nucl. abducensmotoneurons with active dendrites: a simulation study.Neurophysiology 44:89-97, 10.1007/s11062-012-9274-0, 2012.

Korogod, S. M., Maksymchuk, N. V., Demianenko, L. E., Vlasov, O.O. and Cymbalyuk, G. S.. Adverse modulation of the firing patternsof cold receptors by volatile anesthetics affecting activation ofTRPM8 channels: a modeling study. Neurophysiology 52:324-333,10.1007/s11062-021-09889-2, 2020.

Korogod, S. M. and Novorodovskaya, T. S.. Impact of geometricalcharacteristics of the organellar store and organelle-free cytosolon intracellular calcium dynamics in the dendrite: a simulationstudy. Neurophysiology 41:16-27, 10.1007/s11062-009-9072-5,2009.

Korogod, S. M., Osorio, N., Kulagina, I. B. and Delmas, P..Dynamic excitation states and firing patterns are controlled bysodium channel kinetics in myenteric neurons: a simulation study.Channels 8:536-543, 10.4161/19336950.2014.973784, 2014b.

Kosta, P., Iseri, E., Loizos, K., Paknahad, J., Pfeiffer, R. L.,Sigulinsky, C. L., Anderson, J. R., Jones, B. W. and Lazzi, G..Model-based comparison of current flow in rod bipolar cells ofhealthy and early-stage degenerated retina. Experimental EyeResearch 207:108554, 10.1016/j.exer.2021.108554, 2021.

Kosta, P., Loizos, K. and Lazzi, G.. Stimulus waveform design fordecreasing charge and increasing stimulation selectivity inretinal prostheses. Healthcare Technology Letters 7:66-71,10.1049/htl.2019.0115, 2020a.

Kosta, P., Mize, J., Warren, D. J. and Lazzi, G.. Simulation-basedoptimization of figure-of-eight coil designs and orientations formagnetic stimulation of peripheral nerve. IEEE Transactions onNeural Systems and Rehabilitation Engineering 28:2901-2913,10.1109/TNSRE.2020.3038406, 2020b.

Kosta, P., Warren, D. J. and Lazzi, G.. Selective stimulation ofrat sciatic nerve using an array of mm-size magnetic coils: asimulation study. Healthcare Technology Letters 6:70-75,10.1049/htl.2018.5020, 2019.

Kourennyi, D. E., Liu, X.-D., Hart, J., Mahmud, F., Baldridge, W.H. and Barnes, S.. Reciprocal modulation of calcium dynamics atrod and cone photoreceptor synapses by nitric oxide. Journal ofNeurophysiology 92:477-483, 2004.

Koutsikou, S., Merrison-Hort, R., Buhl, E., Ferrario, A., Li,W.-C., Borisyuk, R., Soffe, S. R. and Roberts, A.. A simpledecision to move in response to touch reveals basic sensory memoryand mechanisms for variable response times. Journal ofPhysiology 596:6219-6233, 10.1113/JP276356, 2018.

Koutsou, A., Bugmann, G. and Christodoulou, C.. On learning timedelays between the spikes from different input neurons in abiophysical model of a pyramidal neuron. Bioystems 136:80-89,10.1016/j.biosystems.2015.08.005, 2015.

Kovalsky, Y., Amir, R. and Devor, M.. Simulation in sensoryneurons reveals a key role for delayed Na+ current in subthresholdoscillations and ectopic discharge: implications for neuropathicpain. Journal of Neurophysiology 102:1430-1442, 2009.

Kovalsky, Y., Arnir, R. and Devor, M.. Subthreshold oscillationsfacilitate neuropathic spike discharge by overcoming membraneaccommodation. Experimental Neurology 210:194-206, 2008.

Krauthamer, V. and Crosheck, T.. Effects of high-rate electricalstimulation upon firing in modelled and real neurons. Medical andBiological Engineering and Computing 40:360-366, 2002.

Kress, G. J., Dowling, M. J., Eisenman, L. N. and Mennerick, S..Axonal sodium channel distribution shapes the depolarized actionpotential threshold of dentate granule neurons. Hippocampus20:558-571, 10.1002/hipo.20667, 2010.

Kretzberg, J., Kretschmer, F. and Marin-Burgin, A.. Effects ofmultiple spike-initiation zones in touch sensory cells of theleech. Neurocomputing 70:1645-1651, 2007.

Krishnamurthy, P., Silberberg, G. and Lansner, A.. A corticalattractor network with Martinotti cells driven by facilitatingsynapses. PLoS ONE 7:e30752, 10.1371/journal.pone.0030752, 2012.

Krishnamurthy, P., Silberberg, G. and Lansner, A.. Long-rangerecruitment of Martinotti cells causes surround suppression andpromotes saliency in an attractor network model. Frontiers inNeural Circuits 9:60, 10.3389/fncir.2015.00060, 2015.

Kronberg, G., Rahman, A., Sharma, M., Bikson, M. and Parra, L. C..Direct current stimulation boosts hebbian plasticity invitro.Brain Stimulation 13:287-301, 10.1016/j.brs.2019.10.014, 2020.

Krueppel, R., Remy, S. and Beck, H.. Dendritic integration inhippocampal dentate granule cells. Neuron 71:512-528,10.1016/j.neuron.2011.05.043, 2011.

Kuba, H., Adachi, R. and Ohmori, H.. Activity-dependent andactivity-independent development of the axon initial segment.Journal of Neuroscience 34:3443-3453,10.1523/JNEUROSCI.4357-13.2014, 2014.

Kuba, H., Ishii, T. M. and Ohmori, H.. Axonal site of spikeinitiation enhances auditory coincidence detection. Nature444:1069-1072, 2006.

Kuba, H. and Ohmori, H.. Roles of axonal sodium channels inprecise auditory time coding at nucleus magnocellularis of thechick. Journal of Physiology 587:87-100, 2009.

Kuba, H., Yamada, R., Ishiguro, G. and Adachi, R.. Redistributionof Kv1 and Kv7 enhances neuronal excitability during structuralaxon initial segment plasticity. Nature Communications 6:8815,10.1038/ncomms9815, 2015.

Kubat Öktem, E., Mruk, K., Chang, J., Akin, A., Kobertz, W. R. andBrown, R. H.. Mutant SOD1 protein increases Nav1.3 channelexcitability. Journal of Biological Physics 42:351-370,10.1007/s10867-016-9411-x, 2016.

Kube, K., Herzog, A., Michaelis, B., de Lima, A. D. and Voigt, T..Spike-timing-dependent plasticity in small-world networks.Neurocomputing 71:1694-1704, 2008.

Kubota, Y., Karube, F., Nomura, M., Gulledge, A. T., Mochizuki,A., Schertel, A. and Kawaguchi, Y.. Conserved properties ofdendritic trees in four cortical interneuron subtypes. ScientificReports 1:89, 10.1038/srep00089, 2011.

Kubota, Y., Kondo, S., Nomura, M., Hatada, S., Yamaguchi, N.,Mohamed, A. A., Karube, F., Lübke, J. and Kawaguchi, Y..Functional effects of distinct innervation styles of pyramidalcells by fast spiking cortical interneurons. eLife 4:e07919,10.7554/eLife.07919, 2015.

Kuck, A., Stegeman, D. F. and van Asseldonk, E. H. F.. Modelingtrans-spinal direct current stimulation for the modulation of thelumbar spinal motor pathways. Journal of Neural Engineering14:056014, 10.1088/1741-2552/aa7960, 2017.

Kuenzel, T., Borst, J. G. G. and van der Heijden, M.. Factorscontrolling the input-output relationship of spherical bushy cellsin the gerbil cochlear nucleus. Journal of Neuroscience31:4260-4273, 10.1523/JNEUROSCI.5433-10.2011, 2011.

Kuenzel, T., Nerlich, J., Wagner, H., Rübsamen, R. and Milenkovic,I.. Inhibitory properties underlying non-monotonic input-outputrelationship in low-frequency spherical bushy neurons of thegerbil. Frontiers in Neural Circuits 9:14,10.3389/fncir.2015.00014, 2015.

Kuenzel, T., Wirth, M. J., Luksch, H., Wagner, H. and Mey, J..Increase of Kv3.1b expression in avian auditory brainstem neuronscorrelates with synaptogenesis in vivo and in vitro.. BrainResearch 1302:64-75, 10.1016/j.brainres.2009.09.046, 2009.

Kuhn, A., Keller, T., Lawrence, M. and Morari, M.. A model fortranscutaneous current stimulation: simulations and experiments.Medical and Biological Engineering and Computing 47:279-289,2009.

Kulagina, I. B.. Transfer properties of branching dendrites withtonically activated inputs. Neurophysiology 30:316-319, 1999.

Kulagina, I. B.. Phase relationships between calcium and voltageoscillations in different dendrites of Purkinje neurons.Neurophysiology 40:404-411, 2008.

Kulagina, I. B.. Impact of structural characteristics ofreconstructed motoneurons on their excitability (a simulationstudy). Neurophysiology 41:116-121, 10.1007/s11062-009-9082-3,2009.

Kulagina, I. B.. Electrical bistability of the motoneuronaldendritic membrane determined by non-inactivating inward currents:a model study. Neurophysiology 42:379-386, 2011.

Kulagina, I. B.. Features of active electrical states ofasymmetrical dendrites of brainstem motoneurons during generationof stochastic impulse patterns: a simulation study.Neurophysiology 44:1-6, 2012a.

Kulagina, I. B.. Patterns of impulsation generated by abducensmotoneurons with active reconstructed dendrites: a simulationstudy. Neurophysiology 43:335-343, 2012b.

Kulagina, I. B. and Durand, J.. Comparative analysis of geometryand electrical properties of simulated normal and geneticallymodified motoneurons. Neurophysiology 43:217-222, 2011.

Kulagina, I. B. and Korogod, S. M.. Dependence of transformationof intrinsic rhythmic impulse activity of neurons onspatio-temporal organization of synaptic actions on dendrites: asimulation study. Neurophysiology 43:425-431, 2012.

Kulagina, I. B., Korogod, S. M., Horcholle-Bossavit, G., Batini,C. and Tyc-Dumont, S.. The electro-dynamics of the dendritic spacein purkinje cells of the cerebellum. Archives Italiennes deBiologie 145:211-233, 2007.

Kulagina, I. B., Kukushka, V. I. and Korogod, S. M..Structure-dependent electrical and concentration processes in thedendrites of pyramidal neurons of superficial neocortical layers:model study. Neurophysiology 43:77-89, 2011.

Kulagina, I. B., Launey, T., Kukushka, V. I. and Korogod, S. M..Conversion of electrical and synaptic actions into impulsedischarge patterns in purkinje neurons with active dendrites: asimulation study. Neurophysiology 44:187-200,10.1007/s11062-012-9286-9, 2012.

Kulagina, I. B. and Myakoushko, V. A.. Influence of the state ofTTX-resistant sodium channels on electrical activity of anociceptive sensory fiber: a model study. Neurophysiology43:1-7, 2011.

Kulagina, I. B., Myakoushko, V. A. and Korogod, S. M.. Remotemodulation of current transfer from dendritic glutamatergicsynapses by GABA-ergic synapses of the somatic zone ofmotoneurons: a simulation study. Neurophysiology 42:148-156,2010.

Kumar, A. and Mehta, M. R.. Frequency-dependent changes inNMDAR-dependent synaptic plasticity. Frontiers in ComputationalNeuroscience 5:38, 10.3389/fncom.2011.00038, 2011.

Kumar, A., Schiff, O., Barkai, E., Mel, B. W., Poleg-Polsky, A.and Schiller, J.. NMDA spikes mediate amplification of inputs inthe rat piriform cortex. eLife 7:e38446, 10.7554/eLife.38446,2018.

Kumar, S., Heidelberger, P., Chen, D. and Hines, M.. Optimizationof applications with non-blocking neighborhood collectives viamultisends on the Blue Gene/P supercomputer. 24th IEEEInternational Parallel and Distributed Processing Symposium2010:1-11, 10.1109/IPDPS.2010.5470407, 2010.

Kumaravelu, K., Oza, C. S., Behrend, C. E. and Grill, W. M..Model-based deconstruction of cortical evoked potentials generatedby subthalamic nucleus deep brain stimulation. Journal ofNeurophysiology 120:662-680, 10.1152/jn.00862.2017, 2018.

Kumaravelu, K., Sombeck, J., Miller, L. E., Bensmaia, S. J. andGrill, W. M.. Stoney vs. Histed: quantifying the spatial effectsof intracortical microstimulation. Brain Stimulation 15:141-151,10.1016/j.brs.2021.11.015, 2022.

Kumaravelu, K., Tomlinson, T., Callier, T., Sombeck, J., Bensmaia,S. J., Miller, L. E. and Grill, W. M.. A comprehensive model-basedframework for optimal design of biomimetic patterns of electricalstimulation for prosthetic sensation. Journal of NeuralEngineering 17:046045, 10.1088/1741-2552/abacd8, 2020.

Kumbhar, P., Hines, M., Fouriaux, J., Ovcharenko, A., King, J.,Delalondre, F. and Schürmann, F.. CoreNEURON: an optimized computeengine for the NEURON simulator. Frontiers In Neuroinformatics13:63, 10.3389/fninf.2019.00063, 2019a.

Kumbhar, P., Hines, M., Ovcharenko, A., Mallon, D. A., King, J.,Sainz, F., Schürmann, F. and Delalondre, F.. Leveraging acluster-booster architecture for brain-scale simulations [Online].High Performance Computing: 31st International Conference31:363-380, 10.1007/978-3-319-41321-1_19, 2016.

Kumbhar, P. S., Sivagnanam, S., Yoshimoto, K., Hines, M.,Carnevale, T. and Majumdar, A.. Performance analysis ofcomputational neuroscience software NEURON on Knights Corner manycore processors [Online]. Software Challenges to ExascaleComputing 2:67-76, 2019b.

Kuncel, A. M., Birdno, M. J., Swan, B. D. and Grill, W. M.. Tremorreduction and modeled neural activity during cycling thalamic deepbrain stimulation. Clinical Neurophysiology 123:1044-1052,10.1016/j.clinph.2011.07.052, 2012.

Kuncel, A. M., Cooper, S. E., Wolgamuth, B. R. and Grill, W. M..Amplitude- and frequency-dependent changes in neuronal regularityparallel changes in tremor with thalamic deep brain stimulation.IEEE Transactions on Neural Systems and RehabilitationEngineering 15:190-197, 2007.

Kuo, J. J., Lee, R. H., Zhang, L. and Heckman, C. J.. Essentialrole of the persistent sodium current in spike initiation duringslowly rising inputs in mouse spinal neurones. Journal ofPhysiology 574:819-834, 2006.

Kuriyama, R., Casellato, C., D’Angelo, E. and Yamazaki, T..Real-time simulation of a cerebellar scaffold model on graphicsprocessing units. Frontiers in Cellular Neuroscience 15:623552,10.3389/fncel.2021.623552, 2021.

Kuznetsova, A. Y., Huertas, M. A., Kuznetsov, A. S., Paladini, C.A. and Canavier, C. C.. Regulation of firing frequency in acomputational model of a midbrain dopaminergic neuron. Journal ofComputational Neuroscience 28:389-403, 10.1007/s10827-010-0222-y,2010.

Kwag, J., Jang, H. J., Kim, M. and Lee, S.. M-type potassiumconductance controls the emergence of neural phase codes: acombined experimental and neuron modelling study. Journal of theRoyal Society Interface 1110.1098/rsif.2014.0604, 2014.

Kwon, T., Sakamoto, M., Peterka, D. S. and Yuste, R.. Attenuationof synaptic potentials in dendritic spines. Cell Reports20:1100-1110, 10.1016/j.celrep.2017.07.012, 2017.

Labarrera, C., Deitcher, Y., Dudai, A., Weiner, B., KaduriAmichai, A., Zylbermann, N. and London, M.. Adrenergic modulationregulates the dendritic excitability of layer 5 pyramidal neuronsinvivo. Cell Reports 23:1034-1044,10.1016/j.celrep.2018.03.103, 2018.

Labrakakis, C., Rudolph, U. and De Koninck, Y.. The heterogeneityin GABAA receptor-mediated IPSC kinetics reflects heterogeneity ofsubunit composition among inhibitory and excitatory interneuronsin spinal lamina II. Frontiers in Cellular Neuroscience 8:424,10.3389/fncel.2014.00424, 2014.

Lai, H. Y., Liao, L. D., Lin, C. T., Hsu, J. H., He, X., Chen, Y.Y., Chang, J. Y., Chen, H. F., Tsang, S. and Shih, Y. Y. I..Design, simulation and experimental validation of a novel flexibleneural probe for deep brain stimulation and multichannelrecording. Journal of Neural Engineering 9:036001,10.1088/1741-2560/9/3/036001, 2012.

Laing, C. R., Doiron, B., Longtin, A., Noonan, L., Turner, R. W.and Maler, L.. Type I burst excitability. Journal ofComputational Neuroscience 14:329-342, 2003.

Lajeunesse, F., Kröger, H. and Timofeev, I.. Regulation of AMPAand NMDA receptor-mediated EPSPs in dendritic trees ofthalamocortical cells. Journal of Neurophysiology 109:13-30,10.1152/jn.01090.2011, 2013.

Lambert, R. C., Tuleau-Malot, C., Bessaih, T., Rivoirard, V.,Bouret, Y., Leresche, N. and Reynaud-Bouret, P.. Reconstructingthe functional connectivity of multiple spike trains using Hawkesmodels. Journal of Neuroscience Methods 297:9-21,10.1016/j.jneumeth.2017.12.026, 2018.

Larkum, M. E., Launey, T., Dityatev, A. and Lüscher, H.-R..Integration of excitatory postsynaptic potentials in dendrites ofmotoneurons of rat spinal cord slice cultures. Journal ofNeurophysiology 80:924-935, 1998.

Larkum, M. E., Watanabe, S., Lasser-Ross, N., Rhodes, P. and Ross,W. N.. Dendritic properties of turtle pyramidal neurons. Journalof Neurophysiology 99:683-694, 2008.

Larkum, M. E., Nevian, T., Sandler, M., Polsky, A. and Schiller,J.. Synaptic integration in tuft dendrites of layer 5 pyramidalneurons: a new unifying principle.. Science 325:756-760,10.1126/science.1171958, 2009.

Lasiene, J., Shupe, L., Perlmutter, S. and Horner, P.. No evidencefor chronic demyelination in spared axons after spinal cord injuryin a mouse. Journal of Neuroscience 28:3887-3896, 2008.

Latimer, B., Bergin, D., Guntu, V., Schulz, D. and Nair, S.. Opensource software tools for teaching neuroscience. Journal ofUndergraduate Neuroscience Education 16:A197-A202, 2018.

Latimer, B., Bergin, D., Guntu, V., Schulz, D. and Nair, S..Integrating model-based approaches into a neurosciencecurriculum—an interdisciplinary neuroscience course inengineering. IEEE Transactions on Education 62:48-56,10.1109/TE.2018.2859411, 2019.

Latorre, M. A. and Wårdell, K.. A comparison between single anddouble cable neuron models applicable to deep brain stimulation.Biomedical Physics & Engineering Express 5:025026,10.1088/2057-1976/aafdd9, 2019.

Laudanski, J., Torben-Nielsen, B., Segev, I. and Shamma, S..Spatially distributed dendritic resonance selectively filterssynaptic input. PLoS Computational Biology 10:e1003775,10.1371/journal.pcbi.1003775, 2014.

Lavian, H. and Korngreen, A.. Inhibitory short-term plasticitymodulates neuronal activity in the rat entopeduncular nucleus invitro. European Journal of Neuroscience 43:870-884,10.1111/ejn.12965, 2016.

Lavzin, M., Rapoport, S., Polsky, A., Garion, L. and Schiller, J..Nonlinear dendritic processing determines angular tuning of barrelcortex neurons in vivo. Nature 490:397-401, 10.1038/nature11451,2012.

Law, R. G., Pugliese, S., Shin, H., Sliva, D. D., Lee, S.,Neymotin, S., Moore, C. and Jones, S. R.. Thalamocorticalmechanisms regulating the relationship between transient betaevents and human tactile perception. Cerebral Cortex 32:668-688,10.1093/cercor/bhab221, 2022.

Lawrence, J. J., Saraga, F., Churchill, J. F., Statland, J. M.,Travis, K. E., Skinner, F. K. and McBain, C. J.. SomatodendriticKv7-KCNQ-M channels control interspike interval in hippocampalinterneurons. Journal of Neuroscience 26:12325-12338, 2006.

Lazarewicz, M. T., Boer-Iwema, S. and Ascoli, G. A.. Practicalaspects in anatomically accurate simulations of neuronalelectrophysiology. In: Computational Neuroanatomy: Principles andMethods, edited by Ascoli, G. A.. Totowa, NJ: Totowa, NJ, HumanaPress, 2002a, pp. 127-148.

Lazarewicz, M. T., Migliore, M. and Ascoli, G. A.. A new burstingmodel of CA3 pyramidal cell physiology suggests multiple locationsfor spike initiation. Biosystems 67:129-137, 2002b.

Lazarewicz, M. T., Das, S. and Finkel, L. H.. Recognition oftemporal event sequences by a network of cortical neurons.Neurocomputing 65:143-151, 2005.

Le Franc, Y. and Le Masson, G.. Multiple firing patterns in deepdorsal horn neurons of the spinal cord: computational analysis ofmechanisms and functional implications. Journal ofNeurophysiology 104:1978-1996, 10.1152/jn.00919.2009, 2010.

Le Masson, G., Przedborski, S. and Abbott, L. F.. A computationalmodel of motor neuron degeneration. Neuron 83:975-988,10.1016/j.neuron.2014.07.001, 2014.

Le Ray, D., De Sevilla, D. F., Porto, A. B., Fuenzalida, M. andBuno, W.. Heterosynaptic metaplastic regulation of synapticefficacy in CA1 pyramidal neurons of rat hippocampus.Hippocampus 14:1011-1025, 2004.

Leão, R. M., Kushmerick, C., Pinaud, R., Renden, R., Li, G. L.,Taschenberger, H., Spirou, G., Levinson, S. R. and von Gersdorff,H.. Presynaptic Na+ channels: locus, development, and recoveryfrom inactivation at a high-fidelity synapse. Journal ofNeuroscience 25:3724-3738, 2005.

Leão, R. N., Leão, R. M., da Costa, L. F., Levinson, S. R. andWalmsley, B.. A novel role for MNTB neuron dendrites in regulatingaction potential amplitude and cell excitability during repetitivefiring. European Journal of Neuroscience 27:3095-3108, 2008.

Leblois, A., Bodor, A. L., Person, A. L. and Perkel, D. J..Millisecond timescale disinhibition mediates fast informationtransmission through an avian basal ganglia loop.. Journal ofNeuroscience 29:15420-15433, 10.1523/JNEUROSCI.3060-09.2009,2009.

Lee, D., Hershey, B., Bradley, K. and Yearwood, T.. Predictedeffects of pulse width programming in spinal cord stimulation: amathematical modeling study. Medical and Biological Engineeringand Computing 49:765-774, 10.1007/s11517-011-0780-9, 2011a.

Lee, D. C., Jensen, A. L., Schiefer, M. A., Morgan, C. W. andGrill, W. M.. Structural mechanisms to produce differentialdendritic gains. Brain Research 1033:117-127, 2005.

Lee, G., Matsunaga, A., Dura-Bernal, S., Zhang, W., Lytton, W. W.,Francis, J. T. and Fortes, J. A. B.. Towards real-timecommunication between in vivo neurophysiological data sources andsimulator-based brain biomimetic models. Journal of ComputationalSurgery 3:1-23, 10.1186/s40244-014-0012-3, 2014a.

Lee, H.-M., Howell, B., Grill, W. M. and Ghovanloo, M..Stimulation efficiency with decaying exponential waveforms in awirelessly powered switched-capacitor discharge stimulationsystem. IEEE Transactions on Bio-Medical Engineering65:1095-1106, 10.1109/TBME.2017.2741107, 2018.

Lee, K. H., Hitti, F. L., Chang, S.-Y., Lee, D. C., Roberts, D.W., McIntyre, C. C. and Leiter, J. C.. High frequency stimulationabolishes thalamic network oscillations: an electrophysiologicaland computational analysis. Journal of Neural Engineering8:046001, 10.1088/1741-2560/8/4/046001, 2011b.

Lee, S. C., Hayashida, Y. and Ishida, A. T.. Availability oflow-threshold Ca2+ current in retinal ganglion cells. Journal ofNeurophysiology 90:3888-3901, 2003.

Lee, S. and Jones, S. R.. Distinguishing mechanisms of gammafrequency oscillations in human current source signals using acomputational model of a laminar neocortical network. Frontiersin Human Neuroscience 7:869, 2013.

Lee, S.-H., Marchionni, I., Bezaire, M., Varga, C., Danielson, N.,Lovett-Barron, M., Losonczy, A. and Soltesz, I..Parvalbumin-positive basket cells differentiate among hippocampalpyramidal cells. Neuron 82:1129-1144,10.1016/j.neuron.2014.03.034, 2014b.

Lee, S.-J. and Bai, S.-H.. The effects of low chloride fluids onlight responses of the catfish retinal neurons. Neurocomputing44:25-32, 2002.

Lee, T. P. and Buonomano, D. V.. Unsupervised formation ofvocalization-sensitive neurons: a cortical model based onshort-term and homeostatic plasticity. Neural Computation24:2579-2603, 10.1162/NECO_a_00345, 2012.

Lefler, Y., Amsalem, O., Vrieler, N., Segev, I. and Yarom, Y..Using subthreshold events to characterize the functionalarchitecture of the electrically coupled inferior olive network.eLife 910.7554/eLife.43560, 2020.

Lehto, L. J., Slopsema, J. P., Johnson, M. D., Shatillo, A.,Teplitzky, B. A., Utecht, L., Adriany, G., Mangia, S., Sierra, A.,Low, W. C., Gröhn, O. and Michaeli, S.. Orientation selective deepbrain stimulation. Journal of Neural Engineering 14:016016,10.1088/1741-2552/aa5238, 2017.

Lei, C.-L., Kellard, J. A., Hara, M., Johnson, J. D., Rodriguez,B. and Briant, L. J. B.. Beta-cell hubs maintain Ca2+ oscillationsin human and mouse islet simulations. Islets 10:151-167,10.1080/19382014.2018.1493316, 2018.

Leleo, E. G. and Segev, I.. Burst control: Synaptic conditions forburst generation in cortical layer 5 pyramidal neurons. PLoSComputational Biology 17:e1009558, 10.1371/journal.pcbi.1009558,2021.

Lemaire, T., Neufeld, E., Kuster, N. and Micera, S.. Understandingultrasound neuromodulation using a computationally efficient andinterpretable model of intramembrane cavitation. Journal ofNeural Engineering 16:046007, 10.1088/1741-2552/ab1685, 2019.

Lemaire, T., Vicari, E., Neufeld, E., Kuster, N. and Micera, S..MorphoSONIC: a morphologically structured intramembrane cavitationmodel reveals fiber-specific neuromodulation by ultrasound.iScience 24:103085, 10.1016/j.isci.2021.103085, 2021.

Lempka, S. F., Howell, B., Gunalan, K., Machado, A. G. andMcIntyre, C. C.. Characterization of the stimulus waveformsgenerated by implantable pulse generators for deep brainstimulation. Clinical Neurophysiology 129:731-742,10.1016/j.clinph.2018.01.015, 2018.

Lempka, S. F., Johnson, M. D., Moffitt, M. A., Otto, K. J., Kipke,D. R. and McIntyre, C. C.. Theoretical analysis of intracorticalmicroelectrode recordings. Journal of Neural Engineering8:045006, 10.1088/1741-2560/8/4/045006, 2011.

Lempka, S. F. and McIntyre, C. C.. Theoretical analysis of thelocal field potential in deep brain stimulation applications.PLoS ONE 8:e59839, 10.1371/journal.pone.0059839, 2013.

Lempka, S. F., McIntyre, C. C., Kilgore, K. L. and Machado, A. G..Computational analysis of kilohertz frequency spinal cordstimulation for chronic pain management.. Anesthesiology122:1362-1376, 10.1097/ALN.0000000000000649, 2015.

Lempka, S. F., Zander, H. J., Anaya, C. J., Wyant, A., Ozinga, J.G. and Machado, A. G.. Patient-specific analysis of neuralactivation during spinal cord stimulation for pain.Neuromodulation 23:572-581, 10.1111/ner.13037, 2020.

Lenz, M., Platschek, S., Priesemann, V., Becker, D., Willems, L.M., Ziemann, U., Deller, T., Müller-Dahlhaus, F., Jedlicka, P. andVlachos, A.. Repetitive magnetic stimulation induces plasticity ofexcitatory postsynapses on proximal dendrites of cultured mouseCA1 pyramidal neurons. Brain Structure and Function220:3323-3337, 10.1007/s00429-014-0859-9, 2015.

Letzkus, J. J., Kampa, B. M. and Stuart, G. J.. Learning rules forspike timing-dependent plasticity depend on dendritic synapselocation. Journal of Neuroscience 26:10420-10429, 2006.

Leys, S. P., Mackie, G. O. and Meech, R. W.. Impulse conduction ina sponge. Journal of Experimental Biology 202:1139-1150, 1999.

Lezmy, J., Lipinsky, M., Khrapunsky, Y., Patrich, E., Shalom, L.,Peretz, A., Fleidervish, I. A. and Attali, B.. M-currentinhibition rapidly induces a unique CK2-dependent plasticity ofthe axon initial segment. Proceedings of the National Academy ofSciences of the United States of America 114:E10234-E10243,10.1073/pnas.1708700114, 2017.

Li, C. and Gulledge, A. T.. NMDA receptors enhance the fidelity ofsynaptic integration. eNeuro 10.1523/ENEURO.0396-20.2020, 2021.

Li, G. and Cleland, T. A.. A two-layer biophysical model ofcholinergic neuromodulation in olfactory bulb. Journal ofNeuroscience 33:3037-3058, 10.1523/JNEUROSCI.2831-12.2013, 2013.

Li, G. and Cleland, T. A.. A coupled-oscillator model of olfactorybulb gamma oscillations. PLoS Computational Biology 13:e1005760,10.1371/journal.pcbi.1005760, 2017.

Li, G., Linster, C. and Cleland, T. A.. Functional differentiationof cholinergic and noradrenergic modulation in a biophysical modelof olfactory bulb granule cells. Journal of Neurophysiology114:3177-3200, 10.1152/jn.00324.2015, 2015a.

Li, M. R. and Greenside, H.. Stable propagation of a burst througha one-dimensional hom*ogeneous excitatory chain model of songbirdnucleus HVC. Physical Review E 74:011918, 2006.

Li, M. H., Yan, Y., Wang, Q. X., Zhao, H. H., Chai, X. Y., Sui, X.H., Ren, Q. S. and Li, L. M.. A simulation of current focusing andsteering with penetrating optic nerve electrodes. Journal ofNeural Engineering 10:066007, 10.1088/1741-2560/10/6/066007,2013a.

Li, S., Liu, N., Yao, L., Zhang, X., Zhou, D. and Cai, D..Determination of effective synaptic conductances using somaticvoltage clamp. PLoS Computational Biology 15:e1006871,10.1371/journal.pcbi.1006871, 2019a.

Li, S., Liu, N., Zhang, X., McLaughlin, D. W., Zhou, D. and Cai,D.. Dendritic computations captured by an effective point neuronmodel. Proceedings of the National Academy of Sciences of theUnited States of America 116:15244-15252,10.1073/pnas.1904463116, 2019b.

Li, S., Liu, N., Zhang, X.-H., Zhou, D. and Cai, D.. Bilinearityin spatiotemporal integration of synaptic inputs. PLoSComputational Biology 10:e1004014, 10.1371/journal.pcbi.1004014,2014.

Li, S., McLaughlin, D. W. and Zhou, D.. Mathematical modeling andanalysis of spatial neuron dynamics: dendritic integration andbeyond. Communications on Pure and Applied Mathematics10.1002/cpa.22020, 2021.

Li, S., Xu, J., Chen, G., Lin, L., Zhou, D. and Cai, D.. Thecharacterization of hippocampal theta-driving neurons - atime-delayed mutual information approach. Scientific Reports7:5637, 10.1038/s41598-017-05527-2, 2017a.

Li, S., Zhou, D. and Cai, D.. Analysis of the dendriticintegration of excitatory and inhibitory inputs using cablemodels. Communications In Mathematical Sciences 13:565-575,2015b.

Li, X. and Ascoli, G. A.. Computational simulation of theinput-output relationship in hippocampal pyramidal cells. Journalof Computational Neuroscience 21:191-209, 2006.

Li, X. and Holmes, W. R.. Biophysical attributes that affectCaMKII activation deduced with a novel spatial stochasticsimulation approach. PLoS Computational Biology 14:e1005946,10.1371/journal.pcbi.1005946, 2018.

Li, X., Morita, K., Robinson, H. P. C. and Small, M.. Impact ofgamma-oscillatory inhibition on the signal transmission of acortical pyramidal neuron. Cognitive Neurodynamics 5:241-251,10.1007/s11571-011-9169-6, 2011.

Li, X., Morita, K., Robinson, H. P. C. and Small, M.. Control oflayer 5 pyramidal cell spiking by oscillatory inhibition in thedistal apical dendrites: a computational modeling study. Journalof Neurophysiology 109:2739-2756, 10.1152/jn.00397.2012, 2013b.

Li, X., Xu, Q. and He, J.. Spike propagation in axons understretch growth conditions in cultured neurons from dorsal rootganglion. Journal of Integrative Neuroscience 16:177-187,10.3233/JIN-170007, 2017b.

Li, X. S. and Ascoli, G. A.. Effects of synaptic synchrony on theneuronal input-output relationship. Neural Computation20:1717-1731, 2008.

Li, Y., Xu, J., Liu, Y., Zhu, J., Liu, N., Zeng, W., Huang, N.,Rasch, M. J., Jiang, H., Gu, X., Li, X., Luo, M., Li, C., Teng,J., Chen, J., Zeng, S., Lin, L. and Zhang, X.. A distinctentorhinal cortex to hippocampal CA1 direct circuit for olfactoryassociative learning. Nature Neuroscience 20:559-570,10.1038/nn.4517, 2017c.

Liebmann, L., Karst, H., Sidiropoulou, K., van Gemert, N., Meijer,O. C., Poirazi, P. and Joëls, M.. Differential effects ofcorticosterone on the slow afterhyperpolarization in thebasolateral amygdala and CA1 region: possible role of calciumchannel subunits. Journal of Neurophysiology 99:958-968, 2008.

Lin, X. and Hant, J.. Computer-simulation studies on roles ofpotassium currents in neurotransmission of the auditory nerve.Hearing Research 152:90-99, 2001.

Lin, Z., Lin, Y., Schorge, S., Pan, J. Q., Beierlein, M. andLipscombe, D.. Alternative splicing of a short cassette exon ina1B generates functionally distinct N-type calcium channels incentral and peripheral neurons. Journal of Neuroscience19:5322-5331, 1999.

Lin, Z., Tropper, C., Mcdougal, R. A., Patoary, M. N. I., Lytton,W. W., Yao, Y. and Hines, M. L.. Multithreaded stochastic PDEs forreactions and diffusions in neurons. ACM Transactions on Modelingand Computer Simulation 2710.1145/2987373, 2017a.

Lin, Z., Tropper, C., Yao, Y., Mcdougal, R. A., Ishlam Patoary, M.N., Lytton, W. W. and Hines, M. L.. Load balancing formulti-threaded PDES of stochastic reaction-diffusion in neurons.Journal of Simulation 11:267-284, 10.1057/s41273-016-0033-x,2017b.

Linaro, D., Bizzarri, F., Brambilla, A., Granato, A. andGiugliano, M.. Modelling the effects of early exposure to alcoholon the excitability of cortical neurons [Online]. 2020 IEEEInternational Symposium on Circuits and Systems (ISCAS),10.1109/iscas45731.2020.9180633, 2020.

Linaro, D., Storace, M. and Giugliano, M.. Accurate and fastsimulation of channel noise in conductance-based model neurons bydiffusion approximation. PLoS Computational Biology 7:e1001102,10.1371/journal.pcbi.1001102, 2011.

Lindén, H., Hagen, E., Łęski, S., Norheim, E. S., Pettersen, K. H.and Einevoll, G. T.. LFPy: a tool for biophysical simulation ofextracellular potentials generated by detailed model neurons.Frontiers In Neuroinformatics 7:41, 10.3389/fninf.2013.00041,2013.

Lindén, H., Pettersen, K. H. and Einevoll, G. T.. Intrinsicdendritic filtering gives low-pass power spectra of local fieldpotentials. Journal of Computational Neuroscience 29:423-444,10.1007/s10827-010-0245-4, 2010.

Lindén, H., Tetzlaff, T., Potjans, T. C., Pettersen, K. H., Gruen,S., Diesmann, M. and Einevoll, G. T.. Modeling the spatial reachof the LFP. Neuron 72:859-872, 10.1016/j.neuron.2011.11.006,2011.

Lindgren, C. A. and Moore, J. W.. Identification of ionic currentsat presynaptic nerve endings of the lizard. Journal ofPhysiology 414:201-222, 1989.

Lindroos, R., Dorst, M. C., Du, K., Filipović, M., Keller, D.,Ketzef, M., Kozlov, A. K., Kumar, A., Lindahl, M., Nair, A. G.,Pérez-Fernández, J., Grillner, S., Silberberg, G. and HellgrenKotaleski, J.. Basal ganglia neuromodulation over multipletemporal and structural scales-simulations of direct pathway MSNsinvestigate the fast onset of dopaminergic effects and predict therole of Kv4.2. Frontiers in Neural Circuits 12:3,10.3389/fncir.2018.00003, 2018.

Lindroos, R. and Hellgren Kotaleski, J.. Predicting complex spikesin striatal projection neurons of the direct pathway followingneuromodulation by acetylcholine and dopamine. European Journalof Neuroscience 10.1111/ejn.14891, 2020.

Lindsay, A. E., Lindsay, K. A. and Rosenberg, J. R.. Increasedcomputational accuracy in multi-compartmental cable models by anovel approach for precise point process localization. Journal ofComputational Neuroscience 19:21-38, 2005.

Lipowsky, R., Gillessen, T. and Alzheimer, C.. Dendritic Na+channels amplify EPSPs in hippocampal CA1 pyramidal cells.Journal of Neurophysiology 76:2181-2191, 1996.

Liu, B.-h., Li, P., Sun, Y. J., Li, Y.-t., Zhang, L. I. and Tao,H. W.. Intervening inhibition underlies simple-cell receptivefield structure in visual cortex. Nature Neuroscience 13:89-96,10.1038/nn.2443, 2010a.

Liu, C., Li, Q., Su, Y. and Bao, L.. Prostaglandin E-2 promotesNa(V)1.8 trafficking via its intracellular RRR motif through theprotein kinase A pathway. Traffic 11:405-417,10.1111/j.1600-0854.2009.01027.x, 2010b.

Liu, C. Y., Xiao, C., Fraser, S. E., Lester, H. A. and Koos, D.S.. Electrophysiological characterization of Grueneberg ganglionolfactory neurons: spontaneous firing, sodium conductance, andhyperpolarization-activated currents. Journal of Neurophysiology108:1318-1334, 10.1152/jn.00907.2011, 2012.

Liu, J., Ogden, A., Comery, T. A., Spiros, A., Roberts, P. andGeerts, H.. Prediction of efficacy of vabicaserin, a 5-HT2Cagonist, for the treatment of schizophrenia using a quantitativesystems pharmacology model. CPT Pharmacometrics and SystemsPharmacology 3:e111, 10.1038/psp.2014.7, 2014.

Liu, J. K.. Learning rule of homeostatic synaptic scaling:presynaptic dependent or not. Neural Computation 23:3145-3161,2011.

Liu, J. K. and Buonomano, D. V.. Embedding multiple trajectoriesin simulated recurrent neural networks in a self-organizingmanner.. Journal of Neuroscience 29:13172-13181,10.1523/JNEUROSCI.2358-09.2009, 2009.

Liu, N., Yang, Y., Ge, L., Liu, M., Colecraft, H. M. and Liu, X..Cooperative and acute inhibition by multiple C-terminal motifs ofL-type Ca(2+) channels. eLife 6:e21989, 10.7554/eLife.21989,2017.

Liu, S. and Zheng, P.. Altered PKA modulation in the Na(v)1.1epilepsy variant I1656M. Journal of Neurophysiology110:2090-2098, 10.1152/jn.00921.2012, 2013.

Liu, Z., Kimura, Y., Higashijima, S.-I., Hildebrand, D. G. C.,Morgan, J. L. and Bagnall, M. W.. Central vestibular tuning arisesfrom patterned convergence of otolith afferents. Neuron108:748-762.e4, 10.1016/j.neuron.2020.08.019, 2020.

Liu, Z., Ren, J. H. and Murphy, T. H.. Decoding of synapticvoltage waveforms by specific classes of recombinanthigh-threshold Ca2+ channels. Journal of Physiology 553:473-488,2003.

Llorens, V. C. and Fransén, E.. Intrinsic desynchronizationproperties of neurons containing dendritic rapidly activatingK-currents. Neurocomputing 58-60:137-143, 2004.

Loizos, K., Cela, C., Marc, R. and Lazzi, G.. Virtual electrodedesign for increasing spatial resolution in retinal prosthesis.Healthcare Technology Letters 3:93-97, 10.1049/htl.2015.0043,2016a.

Loizos, K., Lazzi, G., Lauritzen, J. S., Anderson, J., Jones, B.W. and Marc, R.. A multi-scale computational model for the studyof retinal prosthetic stimulation. IEEE Engineering in Medicineand Biology Society. Annual Conference 2014:6100-6103,10.1109/EMBC.2014.6945021, 2014.

Loizos, K., Marc, R., Humayun, M., Anderson, J. R., Jones, B. W.and Lazzi, G.. Increasing electrical stimulation efficacy indegenerated retina: stimulus waveform design in a multiscalecomputational model. IEEE Transactions on Neural Systems andRehabilitation Engineering 26:1111-1120,10.1109/TNSRE.2018.2832055, 2018.

Loizos, K., RamRakhyani, A. K., Anderson, J., Marc, R. and Lazzi,G.. On the computation of a retina resistivity profile forapplications in multi-scale modeling of electrical stimulation andabsorption. Physics in Medicine and Biology 61:4491-4505,10.1088/0031-9155/61/12/4491, 2016b.

Lombardi, A., Jedlicka, P., Luhmann, H. J. and Kilb, W.. Giantdepolarizing potentials trigger transient changes in theintracellular Cl- concentration in CA3 pyramidal neurons of theimmature mouse hippocampus. Frontiers in Cellular Neuroscience12:420, 10.3389/fncel.2018.00420, 2018.

Lombardi, A., Jedlicka, P., Luhmann, H. J. and Kilb, W..Interactions between membrane resistance, GABA-A receptorproperties, bicarbonate dynamics and Cl- transport shapeactivity-dependent changes of intracellular Cl- concentration.International Journal of Molecular Sciences2010.3390/ijms20061416, 2019.

Lombardi, A., Jedlicka, P., Luhmann, H. J. and Kilb, W..Coincident glutamatergic depolarizations enhance GABAAreceptor-dependent Cl- influx in mature and suppress Cl- efflux inimmature neurons. PLoS Computational Biology 17:e1008573,10.1371/journal.pcbi.1008573, 2021a.

Lombardi, A., Luhmann, H. J. and Kilb, W.. Modelling the spatialand temporal constrains of the GABAergic influence on neuronalexcitability. PLoS Computational Biology 17:e1009199,10.1371/journal.pcbi.1009199, 2021b.

Lombardo, J. and Harrington, M. A.. Nonreciprocal mechanisms inup- and downregulation of spinal motoneuron excitability bymodulators of KCNQ/Kv7 channels. Journal of Neurophysiology116:2114-2124, 10.1152/jn.00446.2016, 2016.

Lonardoni, D., Amin, H., Di Marco, S., Maccione, A., Berdondini,L. and Nieus, T.. Recurrently connected and localized neuronalcommunities initiate coordinated spontaneous activity in neuronalnetworks. PLoS Computational Biology 13:e1005672,10.1371/journal.pcbi.1005672, 2017.

London, M., Meunier, C. and Segev, I.. Signal transfer in passivedendrites with nonuniform membrane conductance. Journal ofNeuroscience 19:8219-8233, 1999.

London, M., Roth, A., Beeren, L., Haeusser, M. and Latham, P. E..Sensitivity to perturbations in vivo implies high noise andsuggests rate coding in cortex. Nature 466:123-127,10.1038/nature09086, 2010.

London, M., Schreibman, A., Häusser, M., Larkum, M. E. and Segev,I.. The information efficacy of a synapse. Nature Neuroscience5:332-340, 2002.

London, M. and Segev, I.. Synaptic scaling in vitro and in vivo.Nature Neuroscience 4:853-854, 2001.

López-Jury, L., Meza, R. C., Brown, M. T. C., Henny, P. andCanavier, C. C.. Morphological and biophysical determinants of theintracellular and extracellular waveforms in nigral dopaminergicneurons: a computational study. Journal of Neuroscience38:8295-8310, 10.1523/JNEUROSCI.0651-18.2018, 2018.

Lopreore, C. L., Bartol, T. M., Coggan, J. S., Keller, D. X.,Sosinsky, G. E., Ellisman, M. H. and Sejnowski, T. J..Computational modeling of three-dimensional electrodiffusion inbiological systems: application to the node of Ranvier.Biophysical Journal 95:2624-2635, 2008.

Lorenzo, J., Vuillaume, R., Binczak, S. and Jacquir, S..Identification of synaptic integration mode in CA3 pyramidalneuron model [Online]. 2019 9th International IEEE/EMBSConference on Neural Engineering, 10.1109/ner.2019.8717136, 2019.

Losavio, B. E., Liang, Y., Santamaria-Pang, A., Kakadiaris, I. A.,Colbert, C. M. and Saggau, P.. Live neuron morphologyautomatically reconstructed from multiphoton and confocal imagingdata. Journal of Neurophysiology 100:2422-2429, 2008.

Lovelace, J. J. and Cios, K. J.. A very simple spiking neuronmodel that allows for modeling of large, complex systems. NeuralComputation 20:65-90, 2008.

Lowe, G.. Inhibition of backpropagating action potentials inmitral cell secondary dendrites. Journal of Neurophysiology88:64-85, 2002.

Lu, A. C., Lee, C. K., Kleiman-Weiner, M., Truong, B., Wang, M.,Huguenard, J. R. and Beenhakker, M. P.. Nonlinearities betweeninhibition and T-type calcium channel activity bidirectionallyregulate thalamic oscillations. eLife 910.7554/eLife.59548,2020.

Lu, H., Chestek, C. A., Shaw, K. M. and Chiel, H. J.. Selectiveextracellular stimulation of individual neurons in ganglia.Journal of Neural Engineering 5:287-309, 2008.

Lu, T., Wade, K., Hong, H. and Sanchez, J. T.. Ion channelmechanisms underlying frequency-firing patterns of the aviannucleus magnocellularis: a computational model. Channels11:444-458, 10.1080/19336950.2017.1327493, 2017.

Lubba, C. H., Le Guen, Y., Jarvis, S., Jones, N. S., Cork, S. C.,Eftekhar, A. and Schultz, S. R.. PyPNS: multiscale simulation of aperipheral nerve in Python. Neuroinformatics 17:63-81,10.1007/s12021-018-9383-z, 2018.

Luebke, J. I., Medalla, M., Amatrudo, J. M., Weaver, C. M.,Crimins, J. L., Hunt, B., Hof, P. R. and Peters, A.. Age-relatedchanges to layer 3 pyramidal cells in the rhesus monkey visualcortex. Cerebral Cortex 25:1454-1468, 10.1093/cercor/bht336,2015.

Luebke, J. I., Weaver, C. M., Rocher, A. B., Rodriguez, A.,Crimins, J. L., Dickstein, D. L., Wearne, S. L. and Hof, P. R..Dendritic vulnerability in neurodegenerative disease: insightsfrom analyses of cortical pyramidal neurons in transgenic mousemodels. Brain Structure and Function 214:181-199,10.1007/s00429-010-0244-2, 2010.

Lujan, B., Kushmerick, C., Banerjee, T. D., Dagda, R. K. andRenden, R.. Glycolysis selectively shapes the presynaptic actionpotential waveform. Journal of Neurophysiology 116:2523-2540,10.1152/jn.00629.2016, 2016.

Luján, J. L., Chaturvedi, A., Malone, D. A., Rezai, A. R.,Machado, A. G. and McIntyre, C. C.. Axonal pathways linked totherapeutic and nontherapeutic outcomes during psychiatric deepbrain stimulation. Human Brain Mapping 33:958-968,10.1002/hbm.21262, 2011.

Lundqvist, M., Herman, P. and Lansner, A.. Effect of prestimulusalpha power, phase, and synchronization on stimulus detectionrates in a biophysical attractor network model. Journal ofNeuroscience 33:11817-11824, 10.1523/JNEUROSCI.5155-12.2013,2013a.

Lundqvist, M., Herman, P., Palva, M., Palva, S., Silverstein, D.and Lansner, A.. Stimulus detection rate and latency, firing ratesand 1-40Hz oscillatory power are modulated by infra-slowfluctuations in a bistable attractor network model. Neuroimage83:458-471, 10.1016/j.neuroimage.2013.06.080, 2013b.

Luo, F., Dittrich, M., Stiles, J. R. and Meriney, S. D..Single-pixel optical fluctuation analysis of calcium channelfunction in active zones of motor nerve terminals. Journal ofNeuroscience 31:11268-11281, 10.1523/JNEUROSCI.1394-11.2011,2011a.

Luo, J., Macias, S., Ness, T. V., Einevoll, G. T., Zhang, K. andMoss, C. F.. Neural timing of stimulus events with microsecondprecision. PLoS Biology 16:e2006422,10.1371/journal.pbio.2006422, 2018.

Luo, Q., Jiang, X., Chen, B., Zhu, Y. and Gao, J.-H.. Modelingneuronal current MRI signal with human neuron. Magnetic Resonancein Medicine 65:1680-1689, 10.1002/mrm.22764, 2011b.

Luo, X., Guet-McCreight, A., Villette, V., Francavilla, R.,Marino, B., Chamberland, S., Skinner, F. K. and Topolnik, L..Synaptic mechanisms underlying the network state-dependentrecruitment of VIP-expressing interneurons in the Ca1 hippocampus.Cerebral Cortex 10.1093/cercor/bhz334, 2020.

Lupascu, C. A., Morabito, A., Merenda, E., Marinelli, S.,Marchetti, C., Migliore, R., Cherubini, E. and Migliore, M.. Ageneral procedure to study subcellular models of transsynapticsignaling at inhibitory synapses. Frontiers in Neuroinformatics10:23, 10.3389/fninf.2016.00023, 2016.

Lupascu, C. A., Morabito, A., Ruggeri, F., Parisi, C., Pimpinella,D., Pizzarelli, R., Meli, G., Marinelli, S., Cherubini, E.,Cattaneo, A. and Migliore, M.. Computational modeling ofinhibitory transsynaptic signaling in hippocampal and corticalneurons expressing intrabodies against gephyrin. Frontiers InCellular Neuroscience 14:173, 10.3389/fncel.2020.00173, 2020.

Luque, N. R., Naveros, F., Carrillo, R. R., Ros, E. and Arleo, A..Spike burst-pause dynamics of Purkinje cells regulate sensorimotoradaptation. PLoS Computational Biology 15:e1006298,10.1371/journal.pcbi.1006298, 2019.

Lüscher, H.-R. and Larkum, M.. Modeling action potentialinitiation and back-propagation in dendrites of cultured ratmotoneurons. Journal of Neurophysiology 80:715-729, 1998.

Luthman, J., Hoebeek, F. E., Maex, R., Davey, N., Adams, R., DeZeeuw, C. I. and Steuber, V.. STD-dependent and independentencoding of input irregularity as spike rate in a computationalmodel of a cerebellar nucleus neuron. Cerebellum 10:667-682,10.1007/s12311-011-0295-9, 2011.

Luz, L. L., Szucs, P., Pinho, R. and Safronov, B. V.. Monosynapticexcitatory inputs to spinal lamina Ianterolateral-tract-projecting neurons from neighbouring lamina Ineurons. Journal of Physiology 588:4489-4505,10.1113/jphysiol.2010.197012, 2010.

Lv, T., Zhang, P.-M., Gong, H.-Q. and Liang, P.-J..Caffeine-induced Ca(2+) oscillations in type I horizontal cell ofcarp retina: a mathematical model. Channels 8:509-518,10.4161/19336950.2014.965113, 2014.

Lytton, W. W.. Simulations of a phase comparing neuron of theelectric fish Eigenmannia. Journal of Comparative Physiology A169:117-125, 1991.

Lytton, W. W.. “Small cell” simulations: physiological features ofa phase difference detector. In: Analysis and Modeling of NeuralSystems II, edited by Eeckman, F.. Norwell, MA: Norwell, MA,Kluwer, 1992, pp. .

Lytton, W. W.. Optimizing synaptic conductance calculation fornetwork simulations. Neural Computation 8:501-509, 1996.

Lytton, W. W.. Computer model of clonazepam’s effect in thalamicslice. Neuroreport 8:3339-3343, 1997.

Lytton, W. W.. Adapting a feedforward heteroassociative network toHodgkin-Huxley dynamics. Journal of Computational Neuroscience5:353-364, 1998.

Lytton, W. W.. From Computer to Brain. New York: address,Springer-Verlag, 2002.

Lytton, W. W.. Neural Query System - data-mining from within theNEURON simulator. Neuroinformatics 4:163-175, 2006.

Lytton, W. W., Contreras, D., Destexhe, A. and Steriade, M..Dynamic interactions determine partial thalamic quiescence in acomputer network model of spike-and-wave seizures. Journal ofNeurophysiology 77:1679-1696, 1997.

Lytton, W. W., Destexhe, A. and Sejnowski, T. J.. Control of slowoscillations in the thalamocortical neuron: a computer model.Neuroscience 70:673-684, 1996.

Lytton, W. W., Hellman, K. M. and Sutula, T. P.. Computer modelsof hippocampal circuit changes of the kindling model of epilepsy.Artificial Intelligence in Medicine 13:81-97, 1998.

Lytton, W. W. and Hines, M.. Hybrid neural networks - combiningabstract and realistic neural units [Online]. IEEE Engineering inMedicine and Biology Society Proceedings 6:3996-3998, 2004.

Lytton, W. W. and Lipton, P.. Can the hippocampus tell time? Thetemporo-septal engram shift model. Neuroreport 10:2301-2306,1999.

Lytton, W. W., Neymotin, S. A., Wester, J. C. and Contreras, D..Neocortical simulation for epilepsy surgery guidance: localizationand intervention. In: Computational Surgery and Dual Training:Computing, Robotics and Imaging, edited by Garbey, M., Bass, B.L., Berceli, S., Collet, C. and Cerveri, P.. Springer, 2014, pp.339-349.

Lytton, W. W. and Omurtag, A.. Tonic-clonic transitions incomputer simulation. Journal of Clinical Neurophysiology24:175-181, 2007.

Lytton, W. W., Orman, R. and Stewart, M.. Computer simulation ofepilepsy: implications for seizure spread and behavioraldysfunction. Epilepsy and Behavior 7:336-344, 2005.

Lytton, W., Orman, R. and Stewart, M.. Broadening of activity withflow across neural structures. Perception 37:401-407, 2008a.

Lytton, W. W. and Sejnowski, T. C.. Simulations of corticalpyramidal neurons synchronized by inhibitory interneurons.Journal of Neurophysiology 66:1059-1079, 1991.

Lytton, W. W. and Sejnowski, T. J.. Computer model ofethosuximide’s effect on a thalamic neuron. Annals of Neurology32:131-139, 1992a.

Lytton, W. W. and Sejnowski, T. J.. Inhibitory interneurons canrapidly phase-lock neural populations. In: Induced Rhythms in theBrain, edited by Bacar, E. and Bullock, T. H.. Boston: Boston,Birkhaeuser, 1992b, pp. .

Lytton, W. W. and Stewart, M.. A rule-based firing model forneural networks. International Journal for Bioelectromagnetism7:47-50, 2005.

Lytton, W. W. and Stewart, M.. Rule-based firing for networksimulations. Neurocomputing 69:1160-1164, 2006.

Lytton, W. W., Stewart, M. and Hines, M. L.. Simulation of largenetworks: technique and progress. In: Computational Neurosciencein Epilepsy, edited by Soltesz, I. and Staley, K.. Elsevier,2008b, pp. 3-17.

Lytton, W. W. and Wathey, J. C.. Realistic single-neuron modeling.Seminars in Neuroscience 4:15-25, 1992.

Lytton, W. W., Neymotin, S. A. and Hines, M. L.. The virtual slicesetup. Journal of Neuroscience Methods 171:309-315, 2008c.

Lytton, W. W., Omurtag, A., Neymotin, S. A. and Hines, M. L..Just-in-time connectivity for large spiking networks. NeuralComputation 20:2745-2756, 2008d.

Lytton, W. W., Seidenstein, A. H., Dura-Bernal, S., McDougal, R.A., Schürmann, F. and Hines, M. L.. Simulation neurotechnologiesfor advancing brain research: parallelizing large networks inNEURON. Neural Computation 28:2063-2090, 10.1162/NECO_a_00876,2016.

Lytton, W. W. and Stewart, M.. Data mining through simulation.Methods in Molecular Biology 401:155-166,10.1007/978-1-59745-520-6_9, 2007.

Łęski, S., Lindén, H., Tetzlaff, T., Pettersen, K. H. andEinevoll, G. T.. Frequency dependence of signal power and spatialreach of the local field potential. PLoS Computational Biology9:e1003137, 10.1371/journal.pcbi.1003137, 2013.

Łęski, S., Pettersen, K. H., Tunstall, B., Einevoll, G. T., Gigg,J. and Wójcik, D. K.. Inverse current source density method in twodimensions: inferring neural activation from multielectroderecordings. Neuroinformatics 9:401-425,10.1007/s12021-011-9111-4, 2011.

Ma, J. and Lowe, G.. Action potential backpropagation andmultiglomerular signaling in the rat vomeronasal system. Journalof Neuroscience 24:9341-9352, 2004.

Ma, M., Futia, G. L., de Souza, F. M. S., Ozbay, B. N., Llano, I.,Gibson, E. A. and Restrepo, D.. Molecular layer interneurons inthe cerebellum encode for valence in associative learning. NatureCommunications 11:4217, 10.1038/s41467-020-18034-2, 2020.

Maccabee, P. J., Nagarajan, S. S., Amassian, V. E., Durand, D. M.,Szabo, A. Z., Ahad, A. B., Cracco, R. Q., Lai, K. S. and Eberle,L. P.. Influence of pulse sequence, polarity and amplitude onmagnetic stimulation of human and porcine peripheral nerve.Journal of Physiology 513:571-585, 1998.

Maccaferri, G.. Complex synaptic dynamics of GABAergic networks ofthe hippocampus. In: Computational Neuroscience in Epilepsy,edited by Soltesz, I. and Staley, K.. Elsevier, 2008, pp. 288-303.

Magalhães, B. R. C., Hines, M., Sterling, T. and Schuermann, F..Exploiting flow graph of system of ODEs to accelerate thesimulation of biologically-detailed neural networks [Online].2019 IEEE International Parallel and Distributed ProcessingSymposium (IPDPS) , 10.1109/ipdps.2019.00028, 2019a.

Magalhães, B. R. C., Sterling, T., Hines, M. and Schürmann, F..Asynchronous branch-parallel simulation of detailed neuron models.Frontiers In Neuroinformatics 13:54, 10.3389/fninf.2019.00054,2019b.

Magalhães, B. R. C., Sterling, T., Hines, M. and Schürmann, F..Fully-asynchronous cache-efficient simulation of detailed neuralnetworks [Online]. Computational Science – ICCS 2019 :421-434,2019c.

Magee, J. C. and Cook, E. P.. Somatic EPSP amplitude isindependent of synapse location in hippocampal pyramidal neurons.Nature Neuroscience 3:895-903, 2000.

Magee, J. C. and Cook, E. P.. Synaptic scaling in vitro and invivo - reply. Nature Neuroscience 4:854-855, 2001.

Magistretti, J., Castelli, L., Forti, L. and D’Angelo, E.. Kineticand functional analysis of transient, persistent and resurgentsodium currents in rat cerebellar granule cells in situ: anelectrophysiological and modelling study. Journal of Physiology573:83-106, 2006.

Magland, J., Jun, J. J., Lovero, E., Morley, A. J., Hurwitz, C.L., Buccino, A. P., Garcia, S. and Barnett, A. H.. SpikeForest,reproducible web-facing ground-truth validation of automatedneural spike sorters. eLife 910.7554/eLife.55167, 2020.

Mahapatra, C., Brain, K. L. and Manchanda, R.. Computationalstudies on urinary bladder smooth muscle: modeling ion channelsand their role in generating electrical activity [Online]. 20157th International IEEE/EMBS Conference on Neural Engineering,10.1109/ner.2015.7146752, 2015.

Mahapatra, C., Brain, K. L. and Manchanda, R.. Computational studyof ATP gated potassium ion channel in urinary bladder overactivity [Online]. 2016 International Conference on InventiveComputation Technologies, 10.1109/inventive.2016.7824861, 2016.

Mahapatra, C., Brain, K. L. and Manchanda, R.. A biophysicallyconstrained computational model of the action potential of mouseurinary bladder smooth muscle. PLoS ONE 13:e0200712,10.1371/journal.pone.0200712, 2018a.

Mahapatra, C., Brain, K. L. and Manchanda, R.. Computational studyof Hodgkin-Huxley type calcium-dependent potassium current inurinary bladder over activity [Online]. 2018 IEEE 8thInternational Conference on Computational Advances in Bio andMedical Sciences , 10.1109/iccabs.2018.8541971, 2018b.

Mahapatra, C. and Manchanda, R.. Computational simulation of spikepatterns in STN neuron using Izhikevich model [Online]. 2016International Conference on Inventive Computation Technologies,10.1109/inventive.2016.7824871, 2016.

Mahapatra, C. and Manchanda, R.. Modeling vas deferens smoothmuscle electrophysiology: role of ion channels in generatingelectrical activity [Online]. Soft Computing for Problem Solving817:{655-663}, {10.1007/978-981-13-1595-4_52}, 2019.

Mahnam, A., Hashemi, S. M. R. and Grill, W. M.. Computationalevaluation of methods for measuring the spatial extent of neuralactivation. Journal of Neuroscience Methods 173:153-164, 2008.

Mahnam, A., Hashemi, S. M. R. and Grill, W. M.. Measurement of thecurrent-distance relationship using a novel refractory interactiontechnique. Journal of Neural Engineering 6:036005, 2009.

Mahrous, A. A., Mousa, M. H. and Elbasiouny, S. M.. Themechanistic basis for successful spinal cord stimulation togenerate steady motor outputs. Frontiers In CellularNeuroscience 13:359, 10.3389/fncel.2019.00359, 2019.

Mainen, Z. F., Joerges, J., Huguenard, J. and Sejnowski, T. J.. Amodel of spike initiation in neocortical pyramidal neurons.Neuron 15:1427-1439, 1995.

Mainen, Z. F. and Sejnowski, T. J.. Reliability of spike encodingin neocortical neurons [Online]. Proceedings of the JointSymposium on Neural Computation, University of California, SanDiego and California Institute of Technology 4:24-29, 1994.

Mainen, Z. F. and Sejnowski, T. J.. Reliability of spike timing inneocortical neurons. Science 268:1503-1506, 1995.

Mainen, Z. F. and Sejnowski, T. J.. Influence of dendriticstructure on firing pattern in model neocortical neurons. Nature382:363-366, 1996.

Mainen, Z. F. and Sejnowski, T. J.. Modeling active dendriticprocesses in pyramidal neurons. In: Methods in NeuronalModeling, edited by Koch, C. and Segev, I.. Cambridge, MA:Cambridge, MA, MIT Press, 1998, pp. 171-209.

Maingret, F., Coste, B., Padilla, F., Clerc, N., Crest, M.,Korogod, S. M. and Delmas, P.. Inflammatory mediators increaseNav1.9 current and excitability in nociceptors through acoincident detection mechanism. Journal of General Physiology131:211-225, 2008.

Major, G., Polsky, A., Denk, W., Schiller, J. and Tank, D. W..Spatio-temporally graded NMDA spike/plateau potentials in basaldendrites of neocortical pyramidal neurons. Journal ofNeurophysiology 99:2584-2601, 2008.

Majoral, D., Zemmar, A. and Vicente, R.. A model for time intervallearning in the Purkinje cell. PLoS Computational Biology16:e1007601, 10.1371/journal.pcbi.1007601, 2020.

Mäki-Marttunen, T., Devor, A., Phillips, W. A., Dale, A. M.,Andreassen, O. A. and Einevoll, G. T.. Computational modeling ofgenetic contributions to excitability and neural coding in layer Vpyramidal cells: applications to schizophrenia pathology.Frontiers In Computational Neuroscience 13:66,10.3389/fncom.2019.00066, 2019a.

Mäki-Marttunen, T., Halnes, G., Devor, A., Metzner, C., Dale, A.M., Andreassen, O. A. and Einevoll, G. T.. A stepwise neuron modelfitting procedure designed for recordings with high spatialresolution: application to layer 5 pyramidal cells. Journal ofNeuroscience Methods 293:264-283, 10.1016/j.jneumeth.2017.10.007,2018.

Mäki-Marttunen, T., Halnes, G., Devor, A., Witoelar, A., Bettella,F., Djurovic, S., Wang, Y., Einevoll, G. T., Andreassen, O. A. andDale, A. M.. Functional effects of schizophrenia-linked geneticvariants on intrinsic single-neuron excitability: a modelingstudy. Biological Psychiatry: Cognitive Neuroscience andNeuroimaging 1:49-59, 10.1016/j.bpsc.2015.09.002, 2016.

Mäki-Marttunen, T., Iannella, N., Edwards, A. G., Einevoll, G. T.and Blackwell, K. T.. A unified computational model for corticalpost-synaptic plasticity. eLife 910.7554/eLife.55714, 2020.

Mäki-Marttunen, T., Krull, F., Bettella, F., Hagen, E., Næss, S.,Ness, T. V., Moberget, T., Elvsåshagen, T., Metzner, C., Devor,A., Edwards, A. G., Fyhn, M., Djurovic, S., Dale, A. M.,Andreassen, O. A. and Einevoll, G. T.. Alterations inschizophrenia-associated genes can lead to increased power indelta oscillations. Cerebral Cortex 29:875-891,10.1093/cercor/bhy291, 2019b.

Malaga, K. A., Schroeder, K. E., Patel, P. R., Irwin, Z. T.,Thompson, D. E., Nicole Bentley, J., Lempka, S. F., Chestek, C. A.and Patil, P. G.. Data-driven model comparing the effects of glialscarring and interface interactions on chronic neural recordingsin non-human primates. Journal of Neural Engineering 13:016010,10.1088/1741-2560/13/1/016010, 2016.

Maling, N., Lempka, S. F., Blumenfeld, Z., Bronte-Stewart, H. andMcIntyre, C. C.. Biophysical basis of subthalamic local fieldpotentials recorded from deep brain stimulation electrodes.Journal of Neurophysiology 120:1932-1944, 10.1152/jn.00067.2018,2018.

Malinvaud, D., Vassias, I., Reichenberger, I., Rössert, C. andStraka, H.. Functional organization of vestibular commissuralconnections in frog. Journal of Neuroscience 30:3310-3325,10.1523/JNEUROSCI.5318-09.2010, 2010.

Mandairon, N., Ferretti, C. J., Stack, C. M., Rubin, D. B.,Cleland, T. A. and Linster, C.. Cholinergic modulation in theolfactory bulb influences spontaneous olfactory discrimination inadult rats. European Journal of Neuroscience 24:3234-3244, 2006.

Mandge, D., Bhatnagar, A. and Manchanda, R.. Computational modelfor intercellular communication between DRG neurons via satelliteglial cells using ATP [Online]. 2017 8th International IEEE/EMBSConference on Neural Engineering, 10.1109/ner.2017.8008434, 2017.

Mandge, D. and Manchanda, R.. Computational studies on bladdersmall dorsal root ganglion neurons: modelling BK channels[Online]. 2015 37th Annual International Conference of the IEEEEngineering in Medicine and Biology Society,10.1109/embc.2015.7319606, 2015.

Mandge, D. and Manchanda, R.. A biophysically detailedcomputational model of urinary bladder small DRG neuron soma.PLoS Computational Biology 1410.1371/journal.pcbi.1006293, 2018.

Mandge, D., Shukla, P. R., Bhatnagar, A. and Manchanda, R..Computational model for cross-depolarization in DRG neurons viasatellite glial cells using [K]o: role of Kir4.1 channels andextracellular leakage [Online]. 2019 41st Annual InternationalConference of the IEEE Engineering in Medicine and BiologySociety , 10.1109/embc.2019.8857153, 2019.

Manis, P. B. and Campagnola, L.. A biophysical modelling platformof the cochlear nucleus and other auditory circuits: from channelsto networks. Hearing Research 360:76-91,10.1016/j.heares.2017.12.017, 2018.

Manita, S. and Ross, W. N.. Synaptic activation and membranepotential changes modulate the frequency of spontaneous elementaryCa2+ release events in the dendrites of pyramidal neurons.Journal of Neuroscience 29:7833-7845, 2009.

Manita, S. and Ross, W. N.. IP3 mobilization and diffusiondetermine the timing window of Ca2+ release by synapticstimulation and a spike in rat CA1 pyramidal cells. Hippocampus20:524-539, 10.1002/hipo.20644, 2010.

Manninen, T., Aćimović, J., Havela, R., Teppola, H. and Linne,M.-L.. Challenges in reproducibility, replicability, andcomparability of computational models and tools for neuronal andglial networks, cells, and subcellular structures. Frontiers inNeuroinformatics 12:20, 10.3389/fninf.2018.00020, 2018.

Manookin, M. B., Puller, C., Rieke, F., Neitz, J. and Neitz, M..Distinctive receptive field and physiological properties of awide-field amacrine cell in the macaque monkey retina. Journal ofNeurophysiology 114:1606-1616, 10.1152/jn.00484.2015, 2015.

Manor, Y., Rinzel, J., Segev, I. and Yarom, Y.. Low-amplitudeoscillations in the inferior olive: a model based on electricalcoupling of neurons with heterogeneous channel densities. Journalof Neurophysiology 77:2736-2752, 1997.

Marasco, A., Limongiello, A. and Migliore, M.. Fast and accuratelow-dimensional reduction of biophysically detailed neuron models.Scientific Reports 2:928, 10.1038/srep00928, 2012.

Marasco, A., Limongiello, A. and Migliore, M.. Using Strahler’sanalysis to reduce up to 200-fold the run time of realistic neuronmodels. Scientific Reports 3:2934, 10.1038/srep02934, 2013.

Marcelin, B., Chauviere, L., Becker, A., Migliore, M., Esclapez,M. and Bernard, C.. h channel-dependent deficit of thetaoscillation resonance and phase shift in temporal lobe epilepsy.Neurobiology of Disease 33:436-447, 2009.

Marcelin, B., Liu, Z., Chen, Y., Lewis, A. S., Becker, A.,McClelland, S., Chetkovich, D. M., Migliore, M., Baram, T. Z.,Esclapez, M. and Bernard, C.. Dorsoventral differences inintrinsic properties in developing CA1 pyramidal cells. Journalof Neuroscience 32:3736-3747, 10.1523/JNEUROSCI.5870-11.2012,2012.

Marder, C. P. and Buonomano, D. V.. Timing and balance ofinhibition enhance the effect of long-term potentiation on cellfiring. Journal of Neuroscience 24:8873-8884, 2004.

Margrie, T. W. and Schaefer, A. T.. Theta oscillation coupledspike latencies yield computational vigour in a mammalian sensorysystem. Journal of Physiology 546:363-374, 2003.

Marianelli, P., Capogrosso, M., Bassi Luciani, L., Panarese, A.and Micera, S.. A computational framework for electricalstimulation of vestibular nerve. IEEE Transactions on NeuralSystems and Rehabilitation Engineering 23:897-909,10.1109/TNSRE.2015.2407861, 2015.

Markaki, M., Orphanoudakis, S. and Poirazi, P.. Modelling reducedexcitability in aged CA1 neurons as a calcium-dependent process.Neurocomputing 65:305-314, 2005.

Markram, H., Lübke, J., Frotscher, M., Roth, A. and Sakmann, B..Physiology and anatomy of synaptic connections between thicktufted pyramidal neurones in the developing rat neocortex.Journal of Physiology 500:409-440, 1997.

Markram, H., Muller, E., Ramaswamy, S., Reimann, M. W., Abdellah,M., Sanchez, C. A., Ailamaki, A., Alonso-Nanclares, L., Antille,N., Arsever, S., Kahou, G. A. A., Berger, T. K., Bilgili, A.,Buncic, N., Chalimourda, A., Chindemi, G., Courcol, J.-D.,Delalondre, F., Delattre, V., Druckmann, S., Dumusc, R., Dynes,J., Eilemann, S., Gal, E., Gevaert, M. E., Ghobril, J.-P., Gidon,A., Graham, J. W., Gupta, A., Haenel, V., Hay, E., Heinis, T.,Hernando, J. B., Hines, M., Kanari, L., Keller, D., Kenyon, J.,Khazen, G., Kim, Y., King, J. G., Kisvarday, Z., Kumbhar, P.,Lasserre, S., Le Bé, J.-V., Magalhães, B. R. C., Merchán-Pérez,A., Meystre, J., Morrice, B. R., Muller, J., Muñoz-Céspedes, A.,Muralidhar, S., Muthurasa, K., Nachbaur, D., Newton, T. H., Nolte,M., Ovcharenko, A., Palacios, J., Pastor, L., Perin, R., Ranjan,R., Riachi, I., Rodríguez, J.-R., Riquelme, J. L., Rössert, C.,Sfyrakis, K., Shi, Y., Shillco*ck, J. C., Silberberg, G., Silva,R., Tauheed, F., Telefont, M., Toledo-Rodriguez, M., Tränkler, T.,Van Geit, W., Díaz, J. V., Walker, R., Wang, Y., Zaninetta, S. M.,DeFelipe, J., Hill, S. L., Segev, I. and Schürmann, F..Reconstruction and simulation of neocortical microcircuitry.Cell 163:456-492, 10.1016/j.cell.2015.09.029, 2015.

Marsalek, P., Koch, C. and Maunsell, J.. On the relationshipbetween synaptic input and spike output jitter in individualneurons. Proceedings of the National Academy of Sciences of theUnited States of America 94:735-740, 1997.

Marti Mengual, U., Wybo, W. A. M., Spierenburg, L. J. E.,Santello, M., Senn, W. and Nevian, T.. Efficient low-passdendro-somatic coupling in the apical dendrite of layer 5pyramidal neurons in the anterior cingulate cortex. Journal ofNeuroscience 10.1523/JNEUROSCI.3028-19.2020, 2020.

Martin, E., Cazenave, W., Cattaert, D. and Branchereau, P..Embryonic alteration of motoneuronal morphology induceshyperexcitability in the mouse model of amyotrophic lateralsclerosis. Neurobiology of Disease 54:116-126,10.1016/j.nbd.2013.02.011, 2013.

Martinello, K., Giacalone, E., Migliore, M., Brown, D. A. andShah, M. M.. The subthreshold-active Kv7 current regulatesneurotransmission by limiting spike-induced Ca2+ influx inhippocampal mossy fiber synaptic terminals. CommunicationsBiology 2:145, 10.1038/s42003-019-0408-4, 2019.

Martínez-Cañada, P., Mobarhan, M. H., Halnes, G., Fyhn, M.,Morillas, C., Pelayo, F. and Einevoll, G. T.. Biophysical networkmodeling of the dLGN circuit: Effects of cortical feedback onspatial response properties of relay cells. PLoS ComputationalBiology 14:e1005930, 10.1371/journal.pcbi.1005930, 2018.

Martínez-Cañada, P., Ness, T. V., Einevoll, G. T., Fellin, T. andPanzeri, S.. Computation of the electroencephalogram (EEG) fromnetwork models of point neurons. PLoS Computational Biology17:e1008893, 10.1371/journal.pcbi.1008893, 2021a.

Martínez-Cañada, P., Noei, S. and Panzeri, S.. Methods forinferring neural circuit interactions and neuromodulation fromlocal field potential and electroencephalogram measures. BrainInformatics 8:27, 10.1186/s40708-021-00148-y, 2021b.

Masoli, S. and D’Angelo, E.. Synaptic activation of a detailedpurkinje cell model predicts voltage-dependent control ofburst-pause responses in active dendrites. Frontiers in CellularNeuroscience 11:278, 10.3389/fncel.2017.00278, 2017.

Masoli, S., Ottaviani, A., Casali, S. and D’Angelo, E.. CerebellarGolgi cell models predict dendritic processing and mechanisms ofsynaptic plasticity. PLoS Computational Biology 16:e1007937,10.1371/journal.pcbi.1007937, 2020a.

Masoli, S., Rizza, M. F., Sgritta, M., Van Geit, W., Schürmann, F.and D’Angelo, E.. Single neuron optimization as a basis foraccurate biophysical modeling: the case of cerebellar granulecells. Frontiers in Cellular Neuroscience 11:71,10.3389/fncel.2017.00071, 2017.

Masoli, S., Solinas, S. and D’Angelo, E.. Action potentialprocessing in a detailed Purkinje cell model reveals a criticalrole for axonal compartmentalization. Frontiers in CellularNeuroscience 9:47, 10.3389/fncel.2015.00047, 2015.

Masoli, S., Tognolina, M., Laforenza, U., Moccia, F. and D’Angelo,E.. Parameter tuning differentiates granule cell subtypesenriching transmission properties at the cerebellum input stage.Communications Biology 3:222, 10.1038/s42003-020-0953-x, 2020b.

Massobrio, P. and Martinoia, S.. Modelling small-patternedneuronal networks coupled to microelectrode arrays. Journal ofNeural Engineering 5:350-359, 2008.

Massobrio, P., Massobrio, G. and Martinoia, S.. Multi-programapproach for simulating recorded extracellular signals generatedby neurons coupled to microelectrode arrays. Neurocomputing70:2467-2476, 2007.

Masurkar, A. V. and Chen, W. R.. Calcium currents of olfactorybulb juxtaglomerular cells: profile and multiple conductanceplateau potential simulation. Neuroscience 192:231-246,10.1016/j.neuroscience.2011.06.016, 2011a.

Masurkar, A. V. and Chen, W. R.. Potassium currents of olfactorybulb juxtaglomerular cells: characterization, simulation, andimplications for plateau potential firing. Neuroscience192:247-262, 10.1016/j.neuroscience.2011.06.012, 2011b.

Masurkar, A. V., Tian, C., Warren, R., Reyes, I., Lowes, D. C.,Brann, D. H. and Siegelbaum, S. A.. Postsynaptic integrativeproperties of dorsal CA1 pyramidal neuron subpopulations. Journalof Neurophysiology 123:980-992, 10.1152/jn.00397.2019, 2020.

Mateos-Aparicio, P., Murphy, R. and Storm, J. F.. Complementaryfunctions of SK and Kv7/M potassium channels in excitabilitycontrol and synaptic integration in rat hippocampal dentategranule cells. Journal of Physiology 592:669-693,10.1113/jphysiol.2013.267872, 2014.

Mateus, J. C., Lopes, C., Aroso, M., Costa, A. R., Gerós, A.,Meneses, J., Faria, P., Neto, E., Lamghari, M., Sousa, M. M. andAguiar, P.. Bidirectional flow of action potentials in axonsdrives activity dynamics in neuronal cultures. Journal of NeuralEngineering 1810.1088/1741-2552/ac41db, 2021.

Matsubara, T. and Torikai, H.. An asynchronous recurrent networkof cellular automaton-based neurons and its reproduction ofspiking neural network activities. IEEE Transactions on NeuralNetworks and Learning Systems 27:836-852,10.1109/TNNLS.2015.2425893, 2016.

Matsumura, R., Yamamoto, H., Hayakawa, T., Katsurabayashi, S.,Niwano, M. and Hirano-Iwata, A.. Dependence and homeostasis ofmembrane impedance on cell morphology in cultured hippocampalneurons. Scientific Reports 8:9905, 10.1038/s41598-018-28232-0,2018.

Mattioni, M., Cohen, U. and Le Novère, N.. Neuronvisio: agraphical user interface with 3D capabilities for NEURON.Frontiers In Neuroinformatics 6:20, 10.3389/fninf.2012.00020,2012.

Mattioni, M. and Le Novère, N.. Integration of biochemical andelectrical signaling-multiscale model of the medium spiny neuronof the striatum. PLoS ONE 8:e66811,10.1371/journal.pone.0066811, 2013.

Maturana, M. I., Grayden, D. B., Burkitt, A. N., Meffin, H. andKameneva, T.. Multicompartment retinal ganglion cells response tohigh frequency bi-phasic pulse train stimulation: simulationresults [Online]. IEEE Engineering in Medicine and BiologySociety Proceedings 2013:69-72, 10.1109/EMBC.2013.6609439, 2013a.

Maturana, M. I., Kameneva, T., Burkitt, A. N., Meffin, H. andGrayden, D. B.. The effect of morphology upon electrophysiologicalresponses of retinal ganglion cells: simulation results. Journalof Computational Neuroscience 36:157-175,10.1007/s10827-013-0463-7, 2014.

Maturana, M. I., Wong, R., Cloherty, S. L., Ibbotson, M. R.,Hadjinicolaou, A. E., Grayden, D. B., Burkitt, A. N., Meffin, H.,O’Brien, B. J. and Kameneva, T.. Retinal ganglion cellselectrophysiology: The effect of cell morphology on impulsewaveform [Online]. IEEE Engineering in Medicine and BiologySociety Proceedings 2013:2583-2586, 10.1109/EMBC.2013.6610068,2013b.

Matzner, A., Gorodetski, L., Korngreen, A. and Bar-Gad, I..Dynamic input-dependent encoding of individual basal ganglianeurons. Scientific Reports 10:5833, 10.1038/s41598-020-62750-0,2020.

Maurice, N., Mercer, J., Chan, C. S., Hernandez-Lopez, S., Held,J., Tkatch, T. and Surmeier, D. J.. D2 dopamine receptor-mediatedmodulation of voltage-dependent Na+ channels reduces autonomousactivity in striatal cholinergic interneurons. Journal ofNeuroscience 24:10289-10301, 2004.

Mazzatenta, A., Giugliano, M., Campidelli, S., Gambazzi, L.,Businaro, L., Markram, H., Prato, M. and Ballerini, L..Interfacing neurons with carbon nanotubes: electrical signaltransfer and synaptic stimulation in cultured brain circuits.Journal of Neuroscience 27:6931-6936, 2007.

Mazzoni, A., Lindén, H., c*ntz, H., Lansner, A., Panzeri, S. andEinevoll, G. T.. Computing the local field potential (lfp) fromintegrate-and-fire network models. PLoS Computational Biology11:e1004584, 10.1371/journal.pcbi.1004584, 2015.

McBain, C. and Dingledine, R.. Dual-component miniature excitatorysynaptic currents in rat hippocampal CA3 pyramidal neurons.Journal of Neurophysiology 68:16-27, 1992.

McCafferty, C., David, F., Venzi, M., Lőrincz, M. L., Delicata,F., Atherton, Z., Recchia, G., Orban, G., Lambert, R. C., DiGiovanni, G., Leresche, N. and Crunelli, V.. Cortical drive andthalamic feed-forward inhibition control thalamic output synchronyduring absence seizures. Nature Neuroscience 21:744-756,10.1038/s41593-018-0130-4, 2018.

McCauley, J. P., Petroccione, M. A., D’Brant, L. Y., Todd, G. C.,Affinnih, N., Wisnoski, J. J., Zahid, S., Shree, S., Sousa, A. A.,Guzman, R. M. D., Migliore, R., Brazhe, A., Leapman, R. D.,Khmaladze, A., Semyanov, A., Zuloaga, D. G., Migliore, M. andScimemi, A.. Circadian modulation of neurons and astrocytescontrols synaptic plasticity in hippocampal area Ca1. CellReports 33:108255, 10.1016/j.celrep.2020.108255, 2020.

McColgan, T., Kuokkanen, P. T., Carr, C. E. and Kempter, R..Dynamics of synaptic extracellular field potentials in the nucleuslaminaris of the barn owl. Journal of Neurophysiology121:1034-1047, 10.1152/jn.00648.2017, 2019.

McColgan, T., Liu, J., Kuokkanen, P. T., Carr, C. E., Wagner, H.and Kempter, R.. Dipolar extracellular potentials generated byaxonal projections. eLife 6:e26106, 10.7554/eLife.26106, 2017.

McCormick, D. A., Shu, Y. and Yu, Y.. Neurophysiology: Hodgkin andHuxley model–still standing?. Nature 445:E1-2; discussion E2-3,10.1038/nature05523, 2007.

McDonnell, M. D., Iannella, N., To, M.-S., Tuckwell, H. C., Jost,J., Gutkin, B. S. and Ward, L. M.. A review of methods foridentifying stochastic resonance in simulations of single neuronmodels. Network 26:35-71, 10.3109/0954898X.2014.990064, 2015.

McDougal, R. A., Morse, T. M., Hines, M. L. and Shepherd, G. M..ModelView for ModelDB: online presentation of model structure.Neuroinformatics 13:459-470, 10.1007/s12021-015-9269-2, 2015.

McDougal, R. A. and Shepherd, G. M.. 3D-printer visualization ofneuron models.. Frontiers in Neuroinformatics 9:18,10.3389/fninf.2015.00018, 2015.

McDougal, R. A., Hines, M. L. and Lytton, W. W..Reaction-diffusion in the NEURON simulator. Frontiers inNeuroinformatics 7:28, 10.3389/fninf.2013.00028, 2013.

McIntyre, A. B. R. and Cleland, T. A.. Biophysical constraints onlateral inhibition in the olfactory bulb. Journal ofNeurophysiology 115:2937-2949, 10.1152/jn.00671.2015, 2016.

McIntyre, C. C. and Grill, W. M.. Excitation of central nervoussystem neurons by nonuniform electric fields. BiophysicalJournal 76:878-888, 1999.

McIntyre, C. C. and Grill, W. M.. Selective microstimulation ofcentral nervous system neurons. Annals of Biomedical Engineering28:219-233, 2000.

McIntyre, C. C. and Grill, W. M.. Extracellular stimulation ofcentral neurons: influence of stimulus waveform and frequency onneuronal output. Journal of Neurophysiology 88:1592-1604, 2002.

McIntyre, C. C., Grill, W. M., Sherman, D. L. and Thakor, N. V..Cellular effects of deep brain stimulation: model-based analysisof activation and inhibition. Journal of Neurophysiology91:1457-1469, 2004a.

McIntyre, C. C., Miocinovic, S. and Butson, C. R.. Computationalanalysis of deep brain stimulation. Expert Reviews of MedicalDevices 4:615-622, 2007.

McIntyre, C. C., Richardson, A. G. and Grill, W. M.. Modeling theexcitability of mammalian nerve fibers: influence ofafterpotentials on the recovery cycle. Journal ofNeurophysiology 87:995-1006, 2002.

McIntyre, C. C., Mori, S., Sherman, D. L., Thakor, N. V. andVitek, J. L.. Electric field and stimulating influence generatedby deep brain stimulation of the subthalamic nucleus. ClinicalNeurophysiology 115:589-595, 2004b.

McTavish, T. S., Migliore, M., Shepherd, G. M. and Hines, M. L..Mitral cell spike synchrony modulated by dendrodendritic synapselocation. Frontiers in Computational Neuroscience 6:3,10.3389/fncom.2012.00003, 2012.

Mease, R. A., Famulare, M., Gjorgjieva, J., Moody, W. J. andFairhall, A. L.. Emergence of adaptive computation by singleneurons in the developing cortex. Journal of Neuroscience33:12154-12170, 10.1523/JNEUROSCI.3263-12.2013, 2013.

Medan, V., Mäki-Marttunen, T., Sztarker, J. and Preuss, T..Differential processing in modality-specific Mauthner celldendrites. Journal of Physiology 596:667-689, 10.1113/JP274861,2018.

Medina, L. E. and Grill, W. M.. Volume conductor model oftranscutaneous electrical stimulation with kilohertz signals.Journal of Neural Engineering 11:066012,10.1088/1741-2560/11/6/066012, 2014.

Medini, C., Nair, B., D’Angelo, E., Naldi, G. and Diwakar, S..Modeling spike-train processing in the cerebellum granular layerand changes in plasticity reveal single neuron effects in neuralensembles. Computational Intelligence and Neuroscience2012:359529, 10.1155/2012/359529, 2012.

Medinilla, V., Johnson, O. and Gasparini, S.. Features of proximaland distal excitatory synaptic inputs to layer V neurons of therat medial entorhinal cortex. Journal of Physiology 591:169-183,10.1113/jphysiol.2012.237172, 2013.

Medlock, L., Sekiguchi, K., Hong, S., Dura-Bernal, S., Lytton, W.W. and Prescott, S. A.. Multiscale computer model of the spinaldorsal horn reveals changes in network processing associated withchronic pain. Journal of Neuroscience10.1523/JNEUROSCI.1199-21.2022, 2022.

Meffin, H., Burkitt, A. N. and Grayden, D. B.. An analytical modelfor the ‘large, fluctuating synaptic conductance state’ typical ofneocortical neurons in vivo. Journal of ComputationalNeuroscience 16:159-175, 2004.

Mehaffey, W. H., Doiron, B., Maler, L. and Turner, R. W..Deterministic multiplicative gain control with active dendrites.Journal of Neuroscience 25:9968-9977, 2005.

Mei, J. and Singh, T.. Intra-thalamic and thalamocorticalconnectivity [Online]. Proceedings of the 1st InternationalWorkshop on Software Engineering for Cognitive Services,10.1145/3195555.3195556, 2018.

Mel, B. W.. NMDA-based pattern discrimination in a modeledcortical neuron. Neural Computation 4:502-517, 1992a.

Mel, B. W.. The clusteron: toward a simple abstraction for acomplex neuron. In: Advances in Neural Information ProcessingSystems, edited by Moody, J., Hanson, S. and Lippmann, R.. SanMateo, CA: San Mateo, CA, Morgan Kaufmann, 1992b, pp. 35-42.

Mel, B. W.. Synaptic integration in an excitable dendritic tree.Journal of Neurophysiology 70:1086-1101, 1993.

Mel, B. W., Niebur, E. and Croft, D. W.. How neurons may respondto temporal structure in their inputs. In: ComputationalNeuroscience: Trends in Research, 1997, edited by Bower, J. M..New York: New York, Plenum Press, 1997a, pp. 135-140.

Mel, B. W., Ruderman, D. L. and Archie, K. A.. Complex-cellresponses derived from center-surround inputs: the surprisingpower of intradendritic computation. In: Advances in NeuralInformation Processing Systems, edited by Mozer, M. C., Jordan,M. I. and Petsche, T.. Cambridge, MA: Cambridge, MA, MIT Press,1997b, pp. 83-89.

Mel, B. W., Ruderman, D. L. and Archie, K. A.. Toward asingle-cell account for binocular disparity tuning: an energymodel may be hiding in your dendrites. In: Advances in NeuralInformation Processing Systems, edited by Jordan, M. I., Kearns,M. J. and Solla, S. A.. Cambridge, MA: Cambridge, MA, MIT Press,1997c, pp. 208-214.

Mel, B. W., Ruderman, D. L. and Archie, K. A..Translation-invariant orientation tuning in visual “complex” cellscould derive from intradendritic computations. Journal ofNeuroscience 18:4325-4334, 1998.

Melnick, I. V., Santos, S. F. A., Szokol, K., Szucs, P. andSafronov, B. V.. Ionic basis of tonic firing in spinal substantiagelatinosa neurons of rat. Journal of Neurophysiology91:646-655, 2004a.

Melnick, I. V., Santos, S. F. A. and Safronov, B. V.. Mechanism ofspike frequency adaptation in substantia gelatinosa neurones ofrat. Journal of Physiology 559:383-395, 2004b.

Meng, K., Fellner, A., Rattay, F., Ghezzi, D., Meffin, H.,Ibbotson, M. R. and Kameneva, T.. Upper stimulation threshold forretinal ganglion cell activation. Journal of Neural Engineering15:046012, 10.1088/1741-2552/aabb7d, 2018.

Menon, V., Musial, T. F., Liu, A., Katz, Y., Kath, W. L.,Spruston, N. and Nicholson, D. A.. Balanced synaptic impact viadistance-dependent synapse distribution and complementaryexpression of AMPARs and NMDARs in hippocampal dendrites. Neuron80:1451-1463, 10.1016/j.neuron.2013.09.027, 2013.

Menon, V., Spruston, N. and Kath, W. L.. A state-mutating geneticalgorithm to design ion-channel models. Proceedings of theNational Academy of Sciences of the United States of America106:16829-16834, 2009.

Mercer, J. N., Chan, C. S., Tkatch, T., Held, J. and Surmeier, D.J.. Nav1.6 sodium channels are critical to pacemaking and fastspiking in globus pallidus neurons. Journal of Neuroscience27:13552-13566, 2007.

Mergenthal, A., Bouteiller, J.-M. C., Yu, G. J. and Berger, T. W..A computational model of the cholinergic modulation of Ca1pyramidal cell activity. Frontiers in Computational Neuroscience14:75, 10.3389/fncom.2020.00075, 2020.

Mergenthal, A. R., Bouteiller, J.-M. C. and Berger, T. W..Cholinergic modulation of CA1 pyramidal cells via M1 muscarinicreceptor activation: a computational study at physiological andsupraphysiological levels. IEEE Engineering in Medicine andBiology Society. Annual Conference 2018:1396-1399,10.1109/EMBC.2018.8512574, 2018.

Merrison-Hort, R., Yousif, N., Ferrario, A. and Borisyuk, R..Oscillatory neural models of the basal ganglia for actionselection in healthy and Parkinsonian cases. In: ComputationalNeurology and Psychiatry. Springer International Publishing,2017, pp. 149-189.

Meseke, M., Evers, J. F. and Duch, C.. Developmental changes indendritic shape and synapse location tune single-neuroncomputations to changing behavioral functions. Journal ofNeurophysiology 102:41-58, 10.1152/jn.90899.2008, 2009.

Meuth, P., Meuth, S. G., Jacobi, D., Broicher, T., Pape, H.-C. andBudde, T.. Get the rhythm: modeling of neuronal activity. JUNE4:A1-A11, 2005.

Meuth, S. G., Kanyshkova, T., Meuth, P., Landgraf, P., Munsch, T.,Ludwig, A., Hofmann, F., Pape, H.-C. and Budde, T.. Membraneresting potential of thalamocortical relay neurons is shaped bythe interaction among task3 and hcn2 channels. Journal ofNeurophysiology 96:1517-1529, 2006.

Meuth, S. G., Bittner, S., Meuth, P., Simon, O. J., Budde, T. andWiendl, H.. TWIK-related acid-sensitive K+ channel 1 (TASK1) andTASK3 critically influence T lymphocyte effector functions.Journal of Biological Chemistry 283:14559-14570, 2008.

Meza, R. C., López-Jury, L., Canavier, C. C. and Henny, P.. Roleof the axon initial segment in the control of spontaneousfrequency of nigral dopaminergic neurons in vivo. Journal ofNeuroscience 38:733-744, 2018.

Miceli, F., Soldovieri, M. V., Ambrosino, P., Barrese, V.,Migliore, M., Cilio, M. R. and Taglialatela, M..Genotype-phenotype correlations in neonatal epilepsies caused bymutations in the voltage sensor of K(v)7.2 potassium channelsubunits. Proceedings of the National Academy of Sciences of theUnited States of America 110:4386-4391, 10.1073/pnas.1216867110,2013.

Miceli, F., Soldovieri, M. V., Ambrosino, P., De Maria, M.,Migliore, M., Migliore, R. and Taglialatela, M.. Early-onsetepileptic encephalopathy caused by gain-of-function mutations inthe voltage sensor of Kv7.2 and Kv7.3 potassium channel subunits.Journal of Neuroscience 35:3782-3793,10.1523/JNEUROSCI.4423-14.2015, 2015.

Miceli, F., Soldovieri, M. V., Lugli, L., Bellini, G., Ambrosino,P., Migliore, M., del Giudice, E. M., Ferrari, F., Pascotto, A.and Taglialatela, M.. Neutralization of a unique,negatively-charged residue in the voltage sensor of K(V)7.2subunits in a sporadic case of benign familial neonatal seizures.Neurobiology of Disease 34:501-510, 2009.

Miceli, S., Ness, T. V., Einevoll, G. T. and Schubert, D..Impedance spectrum in cortical tissue: implications forpropagation of LFP signals on the microscopic level. eNeuro4:ENEURO.0291-16.2016, 10.1523/ENEURO.0291-16.2016, 2017.

Michaelevski, I., Korngreen, A. and Lotan, I.. Interaction ofsyntaxin with a single Kv1.1 channel: a possible mechanism formodulating neuronal excitability. Pflügers Archiv-EuropeanJournal of Physiology 454:477-494, 2007.

Michalikova, M., Remme, M. W. H. and Kempter, R.. Extracellularwaveforms reveal an axonal origin of spikelets in pyramidalneurons. Journal of Neurophysiology 120:1484-1495,10.1152/jn.00463.2017, 2018.

Migliore, M.. Modeling the attenuation and failure of actionpotentials in the dendrites of hippocampal neurons. BiophysicalJournal 71:2394-2403, 1996.

Migliore, M.. On the integration of subthreshold inputs fromperforant path and Schaffer collaterals in hippocampal CA1pyramidal neurons. Journal of Computational Neuroscience14:185-192, 2003.

Migliore, M., Ascoli, G. A. and Jaffe, D. B.. CA3 cells: detailedand simplified pyramidal cell models. In: HippocampalMicrocircuits, edited by Cutsuridis, V., Graham, B., Cobb, S. andVida, I.. Springer, 2010a, pp. 353-374.

Migliore, M., Cannia, C. and Canavier, C. C.. A modeling studysuggesting a possible pharmacological target to mitigate theeffects of ethanol on reward-related dopaminergic signaling.Journal of Neurophysiology 99:2703-2707, 2008a.

Migliore, M., Cannia, C., Lytton, W. W., Markram, H. and Hines, M.L.. Parallel network simulations with NEURON. Journal ofComputational Neuroscience 21:119-129, 2006.

Migliore, M., Cavarretta, F., Hines, M. L. and Shepherd, G. M..Functional neurology of a brain system: a 3D olfactory bulb modelto process natural odorants. Functional Neurology 28:241-243,10.11138/FNeur/2013.28.3.241, 2013.

Migliore, M., Cavarretta, F., Hines, M. L. and Shepherd, G. M..Distributed organization of a brain microcircuit analyzed bythree-dimensional modeling: the olfactory bulb. Frontiers inComputational Neuroscience 8:50, 10.3389/fncom.2014.00050, 2014.

Migliore, M., Cavarretta, F., Marasco, A., Tulumello, E., Hines,M. L. and Shepherd, G. M.. Synaptic clusters function as odoroperators in the olfactory bulb. Proceedings of the NationalAcademy of Sciences of the United States of America112:8499-8504, 10.1073/pnas.1502513112, 2015a.

Migliore, M., Cook, E. P., Jaffe, D. B., Turner, D. A. andJohnston, D.. Computer simulations of morphometricallyreconstructed CA3 hippocampal neurons. Journal ofNeurophysiology 73:1157-1168, 1995.

Migliore, M. and Culotta, M.. Energy efficient modulation ofdendritic processing functions. Biosystems 48:157-163, 1998.

Migliore, M., De Blasi, I., Tegolo, D. and Migliore, R.. Amodeling study suggesting how a reduction in the context-dependentinput on CA1 pyramidal neurons could generate schizophrenicbehavior. Neural Networks 24:552-559,10.1016/j.neunet.2011.01.001, 2011.

Migliore, M., DeSimone, G. and Migliore, R.. Effect of theinitial synaptic state on the probability to induce long-termpotentiation and depression. Biophysical Journal 108:1038 -1046, http://dx.doi.org/10.1016/j.bpj.2014.12.048, 2015b.

Migliore, M., Ferrante, M. and Ascoli, G. A.. Signal propagationin oblique dendrites of CA1 pyramidal cells. Journal ofNeurophysiology 94:4145-4155, 2005a.

Migliore, M., Hines, M. L., McTavish, T. S. and Shepherd, G. M..Functional roles of distributed synaptic clusters in themitral-granule cell network of the olfactory bulb. Frontiers inIntegrative Neuroscience 4:122, 10.3389/fnint.2010.00122, 2010b.

Migliore, M., Hines, M. L. and Shepherd, G. M.. The role of distaldendritic gap junctions in synchronization of mitral cell axonaloutput. Journal of Computational Neuroscience 18:151-161, 2005b.

Migliore, M., Hoffman, D. A., Magee, J. C. and Johnston, D.. Roleof an A-type K+ conductance in the back-propagation of actionpotentials in the dendrites of hippocampal pyramidal neurons.Journal of Computational Neuroscience 7:5-15, 1999.

Migliore, M., Inzirillo, C. and Shepherd, G. M.. Learningmechanism for column formation in the olfactory bulb. Frontiersin Integrative Neuroscience 1:12, 10.3389/neuro.07.012.2007,2007.

Migliore, M., Messineo, L. and Cardaci, M.. A model of the effectsof cognitive load on the subjective estimation and production oftime intervals. Biosystems 58:187-193, 2000.

Migliore, M., Messineo, L., Cardaci, M. and Ayala, G. F..Quantitative modeling of perception and production of timeintervals. Journal of Neurophysiology 86:2754-2760, 2001.

Migliore, M., Messineo, L. and Ferrante, M.. Dendritic I-hselectively blocks temporal summation of unsynchronized distalinputs in CA1 pyramidal neurons. Journal of ComputationalNeuroscience 16:5-13, 2004.

Migliore, M. and Migliore, R.. Know your current I(h): interactionwith a shunting current explains the puzzling effects of itspharmacological or pathological modulations. PLoS ONE 7:e36867,10.1371/journal.pone.0036867, 2012.

Migliore, M., Novara, G. and Tegolo, D.. Single neuron bindingproperties and the magical number 7. Hippocampus 18:1122-1130,2008b.

Migliore, M. and Shepherd, G. M.. Emerging rules for thedistributions of active dendritic conductances. Nature ReviewsNeuroscience 3:362-370, 2002.

Migliore, M. and Shepherd, G. M.. Dendritic action potentialsconnect distributed dendrodendritic microcircuits. Journal ofComputational Neuroscience 24:207-221, 2008.

Migliore, R., De Simone, G., Leinekugel, X. and Migliore, M.. Thepossible consequences for cognitive functions of external electricfields at power line frequency on hippocampal CA1 pyramidalneurons. European Journal of Neuroscience 45:1024-1031,10.1111/ejn.13325, 2017.

Migliore, R., Lupascu, C. A., Bologna, L. L., Romani, A., Courcol,J.-D., Antonel, S., Van Geit, W. A. H., Thomson, A. M., Mercer,A., Lange, S., Falck, J., Rössert, C. A., Shi, Y., Hagens, O.,Pezzoli, M., Freund, T. F., Kali, S., Muller, E. B., Schürmann,F., Markram, H. and Migliore, M.. The physiological variability ofchannel density in hippocampal CA1 pyramidal cells andinterneurons explored using a unified data-driven modelingworkflow. PLoS Computational Biology 14:e1006423,10.1371/journal.pcbi.1006423, 2018.

Mikulovic, S., Restrepo, C. E., Siwani, S., Bauer, P., Pupe, S.,Tort, A. B. L., Kullander, K. and Leão, R. N.. Ventral hippocampalOLM cells control type 2 theta oscillations and response topredator odor. Nature Communications 9:3638,10.1038/s41467-018-05907-w, 2018.

Miles, J. D., Kilgore, K. L., Bhadra, N. and Lahowetz, E. A..Effects of ramped amplitude waveforms on the onset response ofhigh-frequency mammalian nerve block. Journal of NeuralEngineering 4:390-398, 2007.

Miller, R. F., Staff, N. P. and Velte, T. J.. Form and function ofON-OFF amacrine cells in the amphibian retina. Journal ofNeurophysiology 95:3171-3190, 2006.

Milstein, J. N. and Koch, C.. Dynamic moment analysis of theextracellular electric field of a biologically realistic spikingneuron. Neural Computation 20:2070-2084, 2008.

Minneci, F., Janahmadi, M., Migliore, M., Dragicevic, N., Avossa,D. and Cherubini, E.. Signaling properties of stratum oriensinterneurons in the hippocampus of transgenic mice expressing EGFPin a subset of somatostatin-containing cells. Hippocampus17:538-553, 2007.

Miocinovic, S. and Grill, W. M.. Sensitivity of temporalexcitation properties to the neuronal element activated byextracellular stimulation. Journal of Neuroscience Methods132:91-99, 2004.

Miocinovic, S., Parent, M., Butson, C. R., Hahn, P. J., Russo, G.S., Vitek, J. L. and McIntyre, C. C.. Computational analysis ofsubthalamic nucleus and lenticular fasciculus activation duringtherapeutic deep brain stimulation. Journal of Neurophysiology96:1569-1580, 2006.

Miocinovic, S., Zhang, J. Y., Xu, W. D., Russo, G. S., Vitek, J.L. and McIntyre, C. C.. Stereotactic neurosurgical planning,recording, and visualization for deep brain stimulation innon-human primates. Journal of Neuroscience Methods 162:32-41,2007.

Miralles, F. and Solsona, C.. Activity-dependent modulation of thepresynaptic potassium current in the frog neuromuscular junction.Journal of Physiology 495:717-732, 1996.

Mirzakhalili, E., Barra, B., Capogrosso, M. and Lempka, S. F..Biophysics of temporal interference stimulation. Cell Systems11:557-572.e5, 10.1016/j.cels.2020.10.004, 2020.

Mishra, J., Fellous, J. M. and Sejnowski, T. J.. Selectiveattention through phase relationship of excitatory and inhibitoryinput synchrony in a model cortical neuron. Neural Networks19:1329-1346, 2006.

Mishra, P. and Narayanan, R.. High-conductance states and A-typeK+ channels are potential regulators of the conductance-currentbalance triggered by HCN channels. Journal of Neurophysiology113:23-43, 10.1152/jn.00601.2013, 2015.

Mishra, P. and Narayanan, R.. Disparate forms of heterogeneitiesand interactions among them drive channel decorrelation in thedentate gyrus: degeneracy and dominance. Hippocampus 29:378-403,10.1002/hipo.23035, 2019.

Mishra, P. and Narayanan, R.. Ion-channel regulation of responsedecorrelation in a heterogeneous multi-scale model of the dentategyrus. Current Research in Neurobiology 2:100007,10.1016/j.crneur.2021.100007, 2021.

Mittal, D. and Narayanan, R.. Degeneracy in the robust expressionof spectral selectivity, subthreshold oscillations, and intrinsicexcitability of entorhinal stellate cells. Journal ofNeurophysiology 120:576-600, 10.1152/jn.00136.2018, 2018.

Miura, K., Tsubo, Y., Okada, M. and f*ckai, T.. Balanced excitatoryand inhibitory inputs to cortical neurons decouple firingirregularity from rate modulations. Journal of Neuroscience27:13802-13812, 2007.

Miyamura, Y., Hitomi, S., Omiya, Y., Ujihara, I., Kokabu, S.,Morimoto, Y. and Ono, K.. Isoliquiritigenin, an active ingredientof Glycyrrhiza, elicits antinociceptive effects via inhibition ofNaV channels. Naunyn-Schmiedeberg’s Archives of Pharmacology394:967-980, 10.1007/s00210-020-02030-w, 2021.

Miyasho, T., Takagi, H., Suzuki, H., Watanabe, S., Inoue, M.,Kudo, Y. and Miyakawa, H.. Low-threshold potassium channels and alow-threshold calcium channel regulate Ca2+ spike firing in thedendrites of cerebellar Purkinje neurons: a modeling study. BrainResearch 891:106-115, 2001.

Miyazaki, K., Manita, S. and Ross, W. N.. Developmental profile oflocalized spontaneous Ca(2+) release events in the dendrites ofrat hippocampal pyramidal neurons. Cell Calcium 52:422-432,10.1016/j.ceca.2012.08.001, 2012.

Miyazaki, K. and Ross, W. N.. Sodium dynamics in pyramidal neurondendritic spines: synaptically evoked entry predominantly throughAMPA receptors and removal by diffusion. Journal of Neuroscience37:9964-9976, 10.1523/JNEUROSCI.1758-17.2017, 2017.

Mo, C. H. and Koch, C.. Modeling reverse-phi motion-selectiveneurons in cortex: double synaptic-veto mechanism. NeuralComputation 15:735-759, 2003.

Mo, C. H., Gu, M. and Koch, C.. A learning rule for local synapticinteractions between excitation and shunting inhibition. NeuralComputation 16:2507-2532, 2004.

Moezzi, B., Schaworonkow, N., Plogmacher, L., Goldsworthy, M. R.,Hordacre, B., McDonnell, M. D., Iannella, N., Ridding, M. C. andTriesch, J.. Simulation of electromyographic recordings followingtranscranial magnetic stimulation. Journal of Neurophysiology120:2532-2541, 10.1152/jn.00626.2017, 2018.

Moffitt, M. A. and McIntyre, C. C.. Model-based analysis ofcortical recording with silicon microelectrodes. ClinicalNeurophysiology 116:2240-2250, 2005.

Moffitt, M. A., McIntyre, C. C. and Grill, W. M.. Prediction ofmyelinated nerve fiber stimulation thresholds: limitations oflinear models. IEEE Transactions on Biomedical Engineering51:229-236, 2004.

Mohan, H., Verhoog, M. B., Doreswamy, K. K., Eyal, G., Aardse, R.,Lodder, B. N., Goriounova, N. A., Asamoah, B., B Brakspear, A. B.C., Groot, C., van der Sluis, S., Testa-Silva, G., Obermayer, J.,Boudewijns, Z. S. R. M., Narayanan, R. T., Baayen, J. C., Segev,I., Mansvelder, H. D. and de Kock, C. P. J.. Dendritic and axonalarchitecture of individual pyramidal neurons across layers ofadult human neocortex. Cerebral Cortex 25:4839-4853,10.1093/cercor/bhv188, 2015.

Mohapatra, D. P., Misonou, H., Pan, S. J., Held, J. E., Surmeier,D. J. and Trimmer, J. S.. Regulation of intrinsic excitability inhippocampal neurons by activity-dependent modulation of the KV2.1potassium channel. Channels 3:46-56, 2009.

Mohapatra, N., Tønnesen, J., Vlachos, A., Kuner, T., Deller, T.,Nägerl, U. V., Santamaria, F. and Jedlicka, P.. Spines slow downdendritic chloride diffusion and affect short-term ionicplasticity of GABAergic inhibition. Scientific Reports 6:23196,10.1038/srep23196, 2016.

Moldwin, T. and Segev, I.. Perceptron learning and classificationin a modeled cortical pyramidal cell. Frontiers in ComputationalNeuroscience 1410.3389/fncom.2020.00033, 2020.

Molina-Martínez, B., Jentsch, L.-V., Ersoy, F., van der Moolen,M., Donato, S., Ness, T. V., Heutink, P., Jones, P. D. and Cesare,P.. A multimodal 3D neuro-microphysiological system withneurite-trapping microelectrodes. Biofabrication1410.1088/1758-5090/ac463b, 2022.

Mondragón-González, S. L. and Burguière, E.. Bio-inspiredbenchmark generator for extracellular multi-unit recordings.Scientific Reports 7:43253, 10.1038/srep43253, 2017.

Moore, J.. Enhancing the Hodgkin-Huxley equations: simulationsbased on the first publication in the Biophysical Journal.Biophysical Journal 109:1317 - 1320,http://dx.doi.org/10.1016/j.bpj.2015.08.008, 2015.

Moore, J. W. and Hines, M.. Some consequences of intracellularcalcium binding on phasic synaptic transmitter release. In:Calcium, Neuronal Function, and Transmitter Release, edited byRahamimoff, R. and Katz, B.. Martinus Nijhoff, 1986, pp. 115-140.

Moore, J. W. and Stuart, A. E.. Neurons inAction: Computer Simulations withNeuroLab. Sunderland, MA: address, Sinauer Associates, 2000.

Moore, J. W. and Stuart, A. E.. Neurons inAction2: Tutorials and Simulationsusing NEURON. Sunderland, MA: address, Sinauer Associates, 2007.

Moore, J. J., Ravassard, P. M., Ho, D., Acharya, L., Kees, A. L.,Vuong, C. and Mehta, M. R.. Dynamics of cortical dendriticmembrane potential and spikes in freely behaving rats. Science35510.1126/science.aaj1497, 2017.

Moortgat, K. T., Bullock, T. H. and Sejnowski, T. J.. Gap junctioneffects on precision and frequency of a model pacemaker network.Journal of Neurophysiology 83:984-997, 2000.

Moradi, F.. Information coding and oscillatory activity in synfireneural networks with and without inhibitory coupling. BiologicalCybernetics 91:283-294, 2004.

Moradi, K., Kaka, G. and Gharibzadeh, S.. The role of passivenormalization, voltage-gated channels and synaptic scaling insite-independence of somatic EPSP amplitude in CA1 pyramidalneurons. Neuroscience Research 73:8-16,10.1016/j.neures.2012.02.009, 2012.

Moradi, K., Moradi, K., Ganjkhani, M., Hajihasani, M.,Gharibzadeh, S. and Kaka, G.. A fast model of voltage-dependentNMDA receptors. Journal of Computational Neuroscience34:521-531, 10.1007/s10827-012-0434-4, 2013.

Moraud, E. M., Capogrosso, M., Formento, E., Wenger, N.,DiGiovanna, J., Courtine, G. and Micera, S.. Mechanisms underlyingthe neuromodulation of spinal circuits for correcting gait andbalance deficits after spinal cord injury. Neuron 89:814-828,10.1016/j.neuron.2016.01.009, 2016.

Moreira-Lobo, D. C., Cruz, J. S., Silva, F. R., Ribeiro, F. M.,Kushmerick, C. and Oliveira, F. A.. Thiamine deficiency increasesCa2+ current and Cav1.2 L-type Ca2+ channel levels in cerebellumgranular neurons. Cellular and Molecular Neurobiology37:453-460, 10.1007/s10571-016-0378-8, 2017.

Morel, D., Singh, C. and Levy, W. B.. Linearization of excitatorysynaptic integration at no extra cost. Journal of ComputationalNeuroscience 44:173-188, 10.1007/s10827-017-0673-5, 2018.

Morgan, R. J. and Soltesz, I.. Functional consequences oftransformed network topology in hippocampal sclerosis. In:Computational Neuroscience in Epilepsy, edited by Soltesz, I.and Staley, K.. Elsevier, 2008a, pp. 112-131.

Morgan, R. J. and Soltesz, I.. Microcircuit model of the dentategyrus in epilepsy. In: Hippocampal Microcircuits, edited byCutsuridis, V., Graham, B., Cobb, S. and Vida, I.. Springer, 2010,pp. 495-525.

Morgan, R. J. and Soltesz, I.. Nonrandom connectivity of theepileptic dentate gyrus predicts a major role for neuronal hubs inseizures. Proceedings of the National Academy of Sciences of theUnited States of America 105:6179-6184, 2008b.

Morita, K.. Differential cortical activation of the striataldirect and indirect pathway cells: reconciling the anatomical andoptogenetic results by using a computational method. Journal ofNeurophysiology 112:120-146, 10.1152/jn.00625.2013, 2014.

Morita, K., Kalra, R., Aihara, K. and Robinson, H. P. C..Recurrent synaptic input and the timing ofgamma-frequency-modulated firing of pyramidal cells duringneocortical “UP” states. Journal of Neuroscience 28:1871-1881,2008.

Morse, T. M., Carnevale, N. T., Mutalik, P. G., Migliore, M. andShepherd, G. M.. Abnormal excitability of oblique dendritesimplicated in early Alzheimer’s: a computational study. Frontiersin Neural Circuits 4:16, 10.3389/fncir.2010.00016, 2010.

Mosher, C. P., Wei, Y., Kamiński, J., Nandi, A., Mamelak, A. N.,Anastassiou, C. A. and Rutishauser, U.. Cellular classes in thehuman brain revealed invivo by heartbeat-related modulation ofthe extracellular action potential waveform. Cell Reports30:3536-3551.e6, 10.1016/j.celrep.2020.02.027, 2020.

Mou, Z., Triantis, I. F., Woods, V. M., Toumazou, C. and Nikolic,K.. A simulation study of the combined thermoelectricextracellular stimulation of the sciatic nerve of the Xenopuslaevis: the localized transient heat block. IEEE Transactions onBiomedical Engineering 59:1758-1769, 10.1109/TBME.2012.2194146,2012.

Moubarak, E., Engel, D., Dufour, M. A., Tapia, M., Tell, F. andGoaillard, J.-M.. Robustness to axon initial segment variation isexplained by somatodendritic excitability in rat substantia nigradopaminergic neurons. Journal of Neuroscience 39:5044-5063,10.1523/JNEUROSCI.2781-18.2019, 2019.

Moulin, C., Glière, A., Barbier, D., Joucla, S., Yvert, B.,Mailley, P. and Guillemaud, R.. A new 3-D finite-element modelbased on thin-film approximation for microelectrode arrayrecording of extracellular action potential. IEEE Transactions onBiomedical Engineering 55:683-692, 10.1109/TBME.2007.903522,2008.

Mourdoukoutas, A. P., Truong, D. Q., Adair, D. K., Simon, B. J.and Bikson, M.. High-resolution multi-scale computational modelfor non-invasive cervical vagus nerve stimulation.Neuromodulation 21:261-268, 10.1111/ner.12706, 2018.

Mousa, M. H. and Elbasiouny, S. M.. Dendritic distributions ofL-type Ca2+ and SK_L channels in spinal motoneurons: a simulationstudy. Journal of Neurophysiology 124:1285-1307,10.1152/jn.00169.2020, 2020.

Mousa, M. H. and Elbasiouny, S. M.. Estimating the effects ofslicing on the electrophysiological properties of spinalmotoneurons under normal and disease conditions. Journal ofNeurophysiology 125:1450-1467, 10.1152/jn.00543.2020, 2021.

Moyer, J. T., Halterman, B. L., Finkel, L. H. and Wolf, J. A..Lateral and feedforward inhibition suppress asynchronous activityin a large, biophysically-detailed computational model of thestriatal network. Frontiers in Computational Neuroscience 8:152,10.3389/fncom.2014.00152, 2014.

Moyer, J. T., Wolf, J. A. and Finkel, L. H.. Effects ofdopaminergic modulation on the integrative properties of theventral striatal medium spiny neuron. Journal of Neurophysiology98:3731-3748, 2007.

Mu, P., Moyer, J. T., Ishikawa, M., Zhang, Y., Panksepp, J., Sorg,B. A., Schlüter, O. M. and Dong, Y.. Exposure to cocainedynamically regulates the intrinsic membrane excitability ofnucleus accumbens neurons. Journal of Neuroscience 30:3689-3699,10.1523/JNEUROSCI.4063-09.2010, 2010.

Mueller, J. K. and Grill, W. M.. Model-based analysis of multipleelectrode array stimulation for epiretinal visual prostheses.Journal of Neural Engineering 10:036002,10.1088/1741-2560/10/3/036002, 2013.

Mukherjee, P. and Kaplan, E.. Dynamics of neurons in the catlateral geniculate nucleus: in vivo electrophysiology andcomputational modeling. Journal of Neurophysiology 74:1222-1243,1995.

Mukherjee, P. and Kaplan, E.. The maintained discharge of neuronsin the cat lateral geniculate nucleus: spectral analysis andcomputational modeling. Visual Neuroscience 15:529-539, 1998.

Mukunda, C. L. and Narayanan, R.. Degeneracy in the regulation ofshort-term plasticity and synaptic filtering by presynapticmechanisms. Journal of Physiology 595:2611-2637,10.1113/JP273482, 2017.

Muller, E., Buesing, L., Schemmel, J. and Meier, K..Spike-frequency adapting neural ensembles: beyond mean adaptationand renewal theories. Neural Computation 19:2958-3010, 2007.

Muller, S. Z., Zadina, A. N., Abbott, L. F. and Sawtell, N. B..Continual learning in a multi-layer network of an electric fish.Cell 179:1382-1392.e10, 10.1016/j.cell.2019.10.020, 2019.

Müllner, F. E., Wierenga, C. J. and Bonhoeffer, T.. Precision ofinhibition: dendritic inhibition by individual GABAergic synapseson hippocampal pyramidal cells is confined in space and time.Neuron 87:576-589, 10.1016/j.neuron.2015.07.003, 2015.

Munro, E. and Kopell, N.. Subthreshold somatic voltage inneocortical pyramidal cells can control whether spikes propagatefrom the axonal plexus to axon terminals: a model study.. Journalof Neurophysiology 107:2833-2852, 10.1152/jn.00709.2011, 2012.

Murase, S., Lantz, C. L., Kim, E., Gupta, N., Higgins, R.,Stopfer, M., Hoffman, D. A. and Quinlan, E. M.. Matrixmetalloproteinase-9 regulates neuronal circuit development andexcitability. Molecular Neurobiology 53:3477-3493,10.1007/s12035-015-9295-y, 2016.

Murbartian, J., Arias, J. M. and Perez-Reyes, E.. Functionalimpact of alternative splicing of human T-type Ca(v)3.3 calciumchannels. Journal of Neurophysiology 92:3399-3407, 2004.

Murphy, B. K. and Miller, K. D.. Multiplicative gain changes areinduced by excitation or inhibition alone. Journal ofNeuroscience 23:10040-10051, 2003.

Murphy, G. G., Fedorov, N. B., Giese, K. P., Ohno, M., Friedman,E., Chen, R. and Silva, A. J.. Increased neuronal excitability,synaptic plasticity, and learning in aged Kv beta 1.1 knockoutmice. Current Biology 14:1907-1915, 2004.

Mushtaq, M., Haq, R. U., Anwar, W., Marshall, L., Bazhenov, M.,Zia, K., Alam, H., Hertel, L., Awan, A. A. and Martinetz, T.. Acomputational study of suppression of sharp wave ripple complexesby controlling calcium and gap junctions in pyramidal cells.Bioengineered 12:2603-2615, 10.1080/21655979.2021.1936894, 2021.

Musselman, E. D., Cariello, J. E., Grill, W. M. and Pelot, N. A..ASCENT (Automated Simulations to Characterize Electrical NerveThresholds): a pipeline for sample-specific computational modelingof electrical stimulation of peripheral nerves. PLoSComputational Biology 17:e1009285, 10.1371/journal.pcbi.1009285,2021.

Mustafá, E. R., Gonzalez, S. C. and Raingo, J.. Ghrelinselectively inhibits CaV3.3 subtype of low-voltage-gated calciumchannels. Molecular Neurobiology 57:722-735,10.1007/s12035-019-01738-y, 2019.

Nadim, F., Manor, Y., Nusbaum, M. P. and Marder, E.. Frequencyregulation of a slow rhythm by a fast periodic input. Journal ofNeuroscience 18:5053-5067, 1998.

Nadin, B. M. and Pfaffinger, P. J.. Dipeptidyl peptidase-likeprotein 6 is required for normal electrophysiological propertiesof cerebellar granule cells. Journal of Neuroscience30:8551-8565, 10.1523/JNEUROSCI.5489-09.2010, 2010.

Nadin, B. M. and Pfaffinger, P. J.. A new TASK for dipeptidylpeptidase-like protein 6. PLoS ONE 8:e60831,10.1371/journal.pone.0060831, 2013.

Næss, S., Halnes, G., Hagen, E., Hagler, D. J., Dale, A. M.,Einevoll, G. T. and Ness, T. V.. Biophysically detailed forwardmodeling of the neural origin of EEG and MEG signals. NeuroImage225:117467, 10.1016/j.neuroimage.2020.117467, 2021.

Nair, D. R., Burgess, R. C., McIntyre, C. C. and Luders, H. O..Chronic subdural electrodes in the management of epilepsy.Clinical Neurophysiology 119:11-28, 2008.

Nakano, T., Yoshimoto, J. and Doya, K.. A model-based predictionof the calcium responses in the striatal synaptic spines dependingon the timing of cortical and dopaminergic inputs andpost-synaptic spikes. Frontiers in Computational Neuroscience7:119, 10.3389/fncom.2013.00119, 2013.

Narayanan, R. and Chattarji, S.. Computational analysis of theimpact of chronic stress on intrinsic and synaptic excitability inthe hippocampus. Journal of Neurophysiology 103:3070-3083,10.1152/jn.00913.2009, 2010.

Narayanan, R., Dougherty, K. J. and Johnston, D.. Calcium storedepletion induces persistent perisomatic increases in thefunctional density of h channels in hippocampal pyramidal neurons.Neuron 68:921-935, 10.1016/j.neuron.2010.11.033, 2010.

Narayanan, R. and Johnston, D.. Long-term potentiation in rathippocampal neurons is accompanied by spatially widespread changesin intrinsic oscillatory dynamics and excitability. Neuron56:1061-1075, 10.1016/j.neuron.2007.10.033, 2007.

Narayanan, R. and Johnston, D.. The h channel mediates locationdependence and plasticity of intrinsic phase response in rathippocampal neurons. Journal of Neuroscience 28:5846-5850, 2008.

Narayanan, R. and Johnston, D.. The h current is a candidatemechanism for regulating the sliding modification threshold in aBCM-like synaptic learning rule. Journal of Neurophysiology104:1020-1033, 10.1152/jn.01129.2009, 2010.

Nardelli, P., Powers, R., Cope, T. C. and Rich, M. M.. Increasingmotor neuron excitability to treat weakness in sepsis. Annals ofNeurology 82:961-971, 10.1002/ana.25105, 2017.

Nataraj, K., Le Roux, N., Nahmani, M., Lefort, S. and Turrigiano,G.. Visual deprivation suppresses L5 pyramidal neuron excitabilityby preventing the induction of intrinsic plasticity. Neuron68:750-762, 10.1016/j.neuron.2010.09.033, 2010.

Navas-Olive, A., Valero, M., Jurado-Parras, T., de Salas-Quiroga,A., Averkin, R. G., Gambino, G., Cid, E. and de la Prida, L. M..Multimodal determinants of phase-locked dynamics acrossdeep-superficial hippocampal sublayers during theta oscillations.Nature Communications 11:2217, 10.1038/s41467-020-15840-6, 2020.

Nelson, M. T., Todorovic, S. M. and Perez-Reyes, E.. The role ofT-type calcium channels in epilepsy and pain. CurrentPharmaceutical Design 12:2189-2197, 2006.

Nenadic, Z. and Burdick, J. W.. A control algorithm for autonomousoptimization of extracellular recordings. IEEE Transactions onBiomedical Engineering 53:941-955, 2006.

Nerlich, J., Kuenzel, T., Keine, C., Korenic, A., Rübsamen, R. andMilenkovic, I.. Dynamic fidelity control to the central auditorysystem: synergistic glycine/GABAergic inhibition in the cochlearnucleus. Journal of Neuroscience 34:11604-11620,10.1523/JNEUROSCI.0719-14.2014, 2014.

Ness, T. V., Chintaluri, C., Potworowski, J., Łęski, S., Głąbska,H., Wójcik, D. K. and Einevoll, G. T.. Modelling and analysis ofelectrical potentials recorded in microelectrode arrays (MEAs).Neuroinformatics 13:403-426, 10.1007/s12021-015-9265-6, 2015.

Ness, T. V., Remme, M. W. H. and Einevoll, G. T.. Activesubthreshold dendritic conductances shape the local fieldpotential. Journal of Physiology 594:3809-3825,10.1113/JP272022, 2016.

Ness, T. V., Remme, M. W. H. and Einevoll, G. T.. h-type membranecurrent shapes the local field potential from populations ofpyramidal neurons. Journal of Neuroscience 38:6011-6024,10.1523/JNEUROSCI.3278-17.2018, 2018.

Neubig, M. and Destexhe, A.. Low threshold calcium T-current IVcurve geometry is alterable through the distribution of T-channelsin thalamic relay neurons. Neurocomputing 26-27:215-221, 1999.

Neubig, M. and Destexhe, A.. Are the conductances of inhibitorysynapses on thalamic relay neurons inhom*ogeneous? Are synapsesfrom individual afferents clustered?. Neurocomputing32-33:213-218, 2000.

Neubig, M. and Destexhe, A.. Dendritic organization ofthalamocortical relay neurons and dual functions of inhibitorysynaptic drives. Thalamus and Related Systems 1:39-52, 2001.

Neubig, M., Destexhe, A. and Sejnowski, T. J.. Variability ofquantal synaptic currents in thalamocortical neurons. Thalamusand Related Systems 2:153-168, 10.1016/S1472-9288(03)00008-6,2003.

Neubig, M., Ulrich, D., Huguenard, J. and Destexhe, A.. Dendriticcalcium currents in thalamic relay cells. In: ComputationalNeuroscience: Trends in Research, 1998, edited by Bower, J. M..New York: New York, Plenum Press, 1998, pp. 233-238.

Neumaier, F., Alpdogan, S., Hescheler, J. and Schneider, T..Zn2+-induced changes in Cav2.3 channel function: Anelectrophysiological and modeling study. Journal of GeneralPhysiology 15210.1085/jgp.202012585, 2020.

Nevian, T., Larkum, M. E., Polsky, A. and Schiller, J.. Propertiesof basal dendrites of layer 5 pyramidal neurons: a directpatch-clamp recording study. Nature Neuroscience 10:206-214,10.1038/nn1826, 2007.

Neville, K. R. and Lytton, W. W.. Potentiation of Ca2+ influxthrough NMDA channels by action potentials: a computer model.Neuroreport 10:3711-3716, 1999.

Newton, A. J. H., McDougal, R. A., Hines, M. L. and Lytton, W. W..Using NEURON for reaction-diffusion modeling of extracellulardynamics. Frontiers in Neuroinformatics 12:41,10.3389/fninf.2018.00041, 2018.

Newton, T. H., Reimann, M. W., Abdellah, M., Chevtchenko, G.,Muller, E. B. and Markram, H.. In silico voltage-sensitive dyeimaging reveals the emergent dynamics of cortical populations.Nature Communications 12:3630, 10.1038/s41467-021-23901-7, 2021.

Neymotin, S. A., Chadderdon, G. L., Kerr, C. C., Francis, J. T.and Lytton, W. W.. Reinforcement learning of two-joint virtual armreaching in a computer model of sensorimotor cortex. NeuralComputation 25:3263-3293, 10.1162/NECO_a_00521, 2013a.

Neymotin, S. A., Daniels, D. S., Caldwell, B., McDougal, R. A.,Carnevale, N. T., Jas, M., Moore, C. I., Hines, M. L., Hämäläinen,M. and Jones, S. R.. Human Neocortical Neurosolver (HNN), a newsoftware tool for interpreting the cellular and network origin ofhuman MEG/EEG data. eLife 910.7554/eLife.51214, 2020.

Neymotin, S. A., Dura-Bernal, S., Lakatos, P., Sanger, T. D. andLytton, W. W.. Multitarget multiscale simulation forpharmacological treatment of dystonia in motor cortex. Frontiersin Pharmacology 7:157, 10.3389/fphar.2016.00157, 2016a.

Neymotin, S. A., Dura-Bernal, S., Moreno, H. and Lytton, W. W..Computer modeling for pharmacological treatments for dystonia.Drug Discovery Today. Disease Models 19:51-57,10.1016/j.ddmod.2017.02.003, 2016b.

Neymotin, S. A., Hilscher, M. M., Moulin, T. C., Skolnick, Y.,Lazarewicz, M. T. and Lytton, W. W.. Ih tunes theta/gammaoscillations and cross-frequency coupling in an in silico CA3model. PLoS ONE 8:e76285, 10.1371/journal.pone.0076285, 2013b.

Neymotin, S. A., Jacobs, K. M., Fenton, A. A. and Lytton, W. W..Synaptic information transfer in computer models of neocorticalcolumns. Journal of Computational Neuroscience 30:69-84,10.1007/s10827-010-0253-4, 2011a.

Neymotin, S. A., Lazarewicz, M. T., Sherif, M., Contreras, D.,Finkel, L. H. and Lytton, W. W.. Ketamine disrupts thetamodulation of gamma in a computer model of hippocampus. Journalof Neuroscience 31:11733-11743, 10.1523/JNEUROSCI.0501-11.2011,2011b.

Neymotin, S. A., Lee, H., Fenton, A. A. and Lytton, W. W..Interictal EEG discoordination in a rat seizure model. Journal ofClinical Neurophysiology 27:438-444,10.1097/WNP.0b013e3181fe059e, 2010.

Neymotin, S. A., Lee, H., Park, E., Fenton, A. A. and Lytton, W.W.. Emergence of physiological oscillation frequencies in acomputer model of neocortex. Frontiers in ComputationalNeuroscience 5:19, 10.3389/fncom.2011.00019, 2011c.

Neymotin, S. A., McDougal, R. A., Bulanova, A. S., Zeki, M.,Lakatos, P., Terman, D., Hines, M. L. and Lytton, W. W.. Calciumregulation of HCN channels supports persistent activity in amultiscale model of neocortex. Neuroscience 316:344-366,10.1016/j.neuroscience.2015.12.043, 2016c.

Neymotin, S. A., McDougal, R. A., Sherif, M. A., Fall, C. P.,Hines, M. L. and Lytton, W. W.. Neuronal calcium wave propagationvaries with changes in endoplasmic reticulum parameters: acomputer model. Neural Computation 27:898-924,10.1162/NECO_a_00712, 2015.

Neymotin, S. A., Suter, B. A., Dura-Bernal, S., Shepherd, G. M.G., Migliore, M. and Lytton, W. W.. Optimizing computer models ofcorticospinal neurons to replicate in vitro dynamics. Journal ofNeurophysiology 117:148-162, 10.1152/jn.00570.2016, 2017.

Neymotin, S., Uhlrich, D. J., Manning, K. A. and Lytton, W. W..Data mining of time-domain features from neural extracellularfield data. Studies in Computational Intelligence 151:119-140,2008.

Ng, L. J., Volman, V., Gibbons, M. M., Phohomsiri, P., Cui, J.,Swenson, D. J. and Stuhmiller, J. H.. A mechanistic end-to-endconcussion model that translates head kinematics to neurologicinjury. Frontiers in Neurology 8:269, 10.3389/fneur.2017.00269,2017.

Nicholson, D. A., Trana, R., Katz, Y., Kath, W. L., Spruston, N.and Geinisman, Y.. Distance-dependent differences in synapsenumber and AMPA receptor expression in hippocampal CA1 pyramidalneurons. Neuron 50:431-442, 2006.

Niculescu, D., Hirdes, W., Hornig, S., Pongs, O. and Schwarz, J.R.. Erg potassium currents of neonatal mouse Purkinje cellsexhibit fast gating kinetics and are inhibited by mGluR1activation. Journal of Neuroscience 33:16729-16740,10.1523/JNEUROSCI.5523-12.2013, 2013.

Nie, Y., Fellous, J.-M. and Tatsuno, M.. Influence of externalinputs and asymmetry of connections on information-geometricmeasures involving up to ten neuronal interactions. NeuralComputation 26:2247-2293, 10.1162/NECO_a_00633, 2014.

Niedringhaus, M., Chen, X., Conant, K. and Dzakpasu, R.. Synapticpotentiation facilitates memory-like attractor dynamics incultured in vitro hippocampal networks. PLoS ONE 8:e57144,10.1371/journal.pone.0057144, 2013.

Nieus, T., Sola, E., Mapelli, J., Saftenku, E., Rossi, P. andD’Angelo, E.. LTP regulates burst initiation and frequency atmossy fiber-granule cell synapses of rat cerebellum: Experimentalobservations and theoretical predictions. Journal ofNeurophysiology 95:686-699, 2006.

Nieus, T. R., Mapelli, L. and D’Angelo, E.. Regulation of outputspike patterns by phasic inhibition in cerebellar granule cells.Frontiers in Cellular Neuroscience 8:246,10.3389/fncel.2014.00246, 2014.

Nigro, M. J., Perin, P. and Magistretti, J.. Differential effectsof Zn(2+) on activation, deactivation, and inactivation kineticsin neuronal voltage-gated Na(+) channels. PflügersArchiv-European Journal of Physiology 462:331-347,10.1007/s00424-011-0972-z, 2011.

Nikolic, K., Jarvis, S., Grossman, N. and Schultz, S..Computational models of optogenetic tools for controlling neuralcircuits with light [Online]. IEEE Engineering in Medicine andBiology Society Proceedings 2013:5934-5937,10.1109/EMBC.2013.6610903, 2013.

Nishino, E., Yamada, R., Kuba, H., Hioki, H., Furuta, T., Kaneko,T. and Ohmori, H.. Sound-intensity-dependent compensation for thesmall interaural time difference cue for sound sourcelocalization.. Journal of Neuroscience 28:7153-7164,10.1523/JNEUROSCI.4398-07.2008, 2008.

Nolte, M., Reimann, M. W., King, J. G., Markram, H. and Muller, E.B.. Cortical reliability amid noise and chaos. NatureCommunications 10:3792, 10.1038/s41467-019-11633-8, 2019.

Nörenberg, A., Hu, H., Vida, I., Bartos, M. and Jonas, P..Distinct nonuniform cable properties optimize rapid and efficientactivation of fast-spiking GABAergic interneurons. Proceedings ofthe National Academy of Sciences of the United States of America107:894-899, 10.1073/pnas.0910716107, 2010.

Novorodovskaya, T. S.. A simulation study of calcium dynamicsfeatures caused by exchange between the cytosol and organellarstores of neurons. Neurophysiology 41:380-388, 2009.

Novorodovskaya, T. S. and Korogod, S. M.. Comparative modelanalysis of calcium exchange between the cytosol and stores ofmitochondria or endoplasmic reticulum. Neurophysiology41:307-318, 2009.

Novorodovskaya, T. S. and Kulagina, I. B.. Structure dependence ofthe calcium dynamics in purkinje neuron dendrites duringgeneration of bursting discharges: a simulation study.Neurophysiology 42:92-103, 2010.

Novorodovskaya, T. S. and Kulagina, I. B.. Simulation study ofnon-organellar binding of calcium by fast and slow buffers indendrites containing an organellar store. Neurophysiology42:307-317, 10.1007/s11062-011-9164-x, 2011.

O’Boyle, M. P., Carnevale, N. T., Claiborne, B. J. and Brown, T.H.. A new graphical approach for visualizing the relationshipbetween anatomical and electrotonic structure. In: ComputationalNeuroscience: Trends in Research 1995, edited by Bower, J. M..San Diego: San Diego, Academic Press, 1996, pp. 423-428.

O’Connor, S., Angelo, K. and Jacob, T. J. C.. Burst firing versussynchrony in a gap junction connected olfactory bulb mitral cellnetwork model. Frontiers in Computational Neuroscience 6:75,10.3389/fncom.2012.00075, 2012.

O’Donnell, C. and van Rossum, M. C. W.. Systematic analysis of thecontributions of stochastic voltage gated channels to neuronalnoise. Frontiers in Computational Neuroscience 8:105,10.3389/fncom.2014.00105, 2014.

O’Donnell, C. and van Rossum, M. C. W.. Spontaneous actionpotentials and neural coding in unmyelinated axons.. NeuralComputation 27:801-818, 10.1162/NECO_a_00705, 2015.

O’Halloran, D. M.. Simulation model of CA1 pyramidal neuronsreveal opposing roles for the Na+/Ca2+ exchange current andCa2+-activated K+ current during spike-timing dependent synapticplasticity. PLoS ONE 15:e0230327, 10.1371/journal.pone.0230327,2020.

Ohana, O., Portner, H. and Martin, K. A. C.. Fast recruitment ofrecurrent inhibition in the cat visual cortex. PLoS ONE7:e40601, 10.1371/journal.pone.0040601, 2012.

Ohana, O. and Sakmann, B.. Transmitter release modulation in nerveterminals of rat neocortical pyramidal cells by intracellularcalcium buffers. Journal of Physiology 513:135-148, 1998.

Ohura, S. and Kamiya, H.. Short-term depression of axonal spikesat the mouse hippocampal mossy fibers and sodium channel-dependentmodulation. eNeuro 5:ENEURO.0415-17.2018,10.1523/ENEURO.0415-17.2018, 2018a.

Ohura, S. and Kamiya, H.. Sodium channel-dependent and-independent mechanisms underlying axonal afterdepolarization atmouse hippocampal mossy fibers. eNeuro 5:ENEURO.0254-18.2018,10.1523/ENEURO.0254-18.2018, 2018b.

Oláh, V. J., Lukacsovich, D., Winterer, J., Arszovszki, A.,Lőrincz, A., Nusser, Z., Földy, C. and Szabadics, J.. Functionalspecification of CCK+ interneurons by alternative isoforms ofKv4.3 auxiliary subunits. eLife 910.7554/eLife.58515, 2020.

Oláh, V. J., Tarcsay, G. and Brunner, J.. Small size of recordedneuronal structures confines the accuracy in direct axonal voltagemeasurements. eNeuro 810.1523/ENEURO.0059-21.2021, 2021.

Olivares, E. and Orio, P.. Mathematical modeling of TRPM8 and thecold thermoreceptors. In: TRP Channels in Sensory Transduction,edited by Madrid, R. and Bacigalupo, J.. Springer InternationalPublishing, 2015, pp. 209-223.

Olivares, E., Salgado, S., Maidana, J. P., Herrera, G., Campos,M., Madrid, R. and Orio, P.. TRPM8-dependent dynamic response in amathematical model of cold thermoreceptor. PLoS ONE 10:e0139314,10.1371/journal.pone.0139314, 2015.

Oltedal, L. and Hartveit, E.. Transient release kinetics of rodbipolar cells revealed by capacitance measurement of exocytosisfrom axon terminals in rat retinal slices. Journal of Physiology588:1469-1487, 10.1113/jphysiol.2010.186916, 2010.

Oltedal, L., Morkve, S. H., Veruki, L. and Hartveit, E.. Patchclamp investigations and compartmental modeling of rod bipolaraxon terminals in an in vitro thin slice preparation of themammalian retina. Journal of Neurophysiology 97:1171-1187, 2007.

Oltedal, L., Veruki, M. L. and Hartveit, E.. Passive membraneproperties and electrotonic signal processing in retinal rodbipolar cells. Journal of Physiology 587:829-849, 2009.

Olypher, A. V., Lytton, W. W. and Prinz, A. A.. Input-to-outputtransformation in a model of the rat hippocampal CA1 network.Frontiers in Computational Neuroscience 6:57,10.3389/fncom.2012.00057, 2012.

Omori, T., Aonishi, T., Miyakawa, H., Inoue, M. and Okada, M..Estimated distribution of specific membrane resistance inhippocampal CA1 pyramidal neuron. Brain Research 1125:199-208,2006.

Omori, T., Aonishi, T., Miyakawa, H., Inoue, M. and Okada, M..Steep decrease in the specific membrane resistance in the apicaldendrites of hippocampal CA1 pyramidal neurons. NeuroscienceResearch 64:83-95, 2009.

Omurtag, A. and Lytton, W. W.. Spectral method and high-orderfinite differences for the nonlinear cable equation. NeuralComputation 22:2113-2136, 2010.

Ona-Jodar, T., Gerkau, N. J., Sara Aghvami, S., Rose, C. R. andEgger, V.. Two-photon Na+ imaging reports somatically evokedaction potentials in rat olfactory bulb mitral and granule cellneurites. Frontiers in Cellular Neuroscience 11:50,10.3389/fncel.2017.00050, 2017.

van Ooyen, A., Duijnhouwer, J., Remme, M. W. H. and van Pelt, J..The effect of dendritic topology on firing patterns in modelneurons. Network 13:311-325, 2002.

van Ooyen, A. and van Elburg, R. A. J.. Dendritic size andtopology influence burst firing in pyramidal cells. In: TheComputing Dendrite, edited by c*ntz, H., Remme, M. andTorben-Nielsen, B.. , 2014, pp. 381-395.

Opsal, N., Canfield, P., Banks, T. and Nair, S. S.. An efficientpipeline for biophysical modeling of neurons [Online]. Proc. 10thInt. IEEE/EMBS Conf. Neural Engineering :99-102,10.1109/NER49283.2021.9441222, 2021.

Ordemann, G. J., Apgar, C. J., Chitwood, R. A. and Brager, D. H..Altered A-type potassium channel function impairs dendritic spikeinitiation and temporoammonic long-term potentiation in Fragile Xsyndrome. Journal of Neuroscience10.1523/JNEUROSCI.0082-21.2021, 2021.

Orio, P., Parra, A., Madrid, R., González, O., Belmonte, C. andViana, F.. Role of Ih in the firing pattern of mammalian coldthermoreceptor endings. Journal of Neurophysiology108:3009-3023, 10.1152/jn.01033.2011, 2012.

Orio, P. and Soudry, D.. Simple, fast and accurate implementationof the diffusion approximation algorithm for stochastic ionchannels with multiple states. PLoS ONE 7:e36670,10.1371/journal.pone.0036670, 2012.

Ortner, N. J., Bock, G., Dougalis, A., Kharitonova, M., Duda, J.,Hess, S., Tuluc, P., Pomberger, T., Stefanova, N., Pitterl, F.,Ciossek, T., Oberacher, H., Draheim, H. J., Kloppenburg, P., Liss,B. and Striessnig, J.. Lower affinity of isradipine for L-typeCa2+ channels during substantia nigra dopamine neuron-likeactivity: implications for neuroprotection in Parkinson’s disease.Journal of Neuroscience 37:6761-6777,10.1523/JNEUROSCI.2946-16.2017, 2017.

Orts-Del’Immagine, A., Seddik, R., Tell, F., Airault, C.,Er-Raoui, G., Najimi, M., Trouslard, J. and Wanaverbecq, N.. Asingle polycystic kidney disease 2-like 1 channel opening acts asa spike generator in cerebrospinal fluid-contacting neurons ofadult mouse brainstem. Neuropharmacology 101:549-565,10.1016/j.neuropharm.2015.07.030, 2016.

Osorio, N., Korogod, S. and Delmas, P.. Specialized functions ofNav1.5 and Nav1.9 channels in electrogenesis of myenteric neuronsin intact mouse ganglia. Journal of Neuroscience 34:5233-5244,10.1523/JNEUROSCI.0057-14.2014, 2014.

Ostroumov, K.. A new stochastic tridimensional model of neonatalrat spinal motoneuron for investigating compartmentalization ofneuronal conductances and their influence on firing. Journal ofNeuroscience Methods 163:362-372, 2007.

Osypenko, D. S., Dovgan, A. V., Kononenko, N. I., Dromaretsky, A.V., Matvieienko, M., Rybachuk, O. A., Zhang, J., Korogod, S. M.,Venkataraman, V. and Belan, P.. Perturbed Ca2+-dependent signalingof DYT2 hippocalcin mutant as mechanism of autosomal recessivedystonia. Neurobiology of Disease 132:104529,10.1016/j.nbd.2019.104529, 2019.

Otopalik, A. G., Goeritz, M. L., Sutton, A. C., Brookings, T.,Guerini, C. and Marder, E.. Sloppy morphological tuning inidentified neurons of the crustacean stomatogastric ganglion.eLife 6:e22352, 10.7554/eLife.22352, 2017a.

Otopalik, A. G., Pipkin, J. and Marder, E.. Neuronal morphologiesbuilt for reliable physiology in a rhythmic motor circuit. eLife8:e41728, 10.7554/eLife.41728, 2019.

Otopalik, A. G., Sutton, A. C., Banghart, M. and Marder, E.. Whencomplex neuronal structures may not matter. eLife 6:e23508,10.7554/eLife.23508, 2017b.

Ouanounou, G., Baux, G. and Bal, T.. A novel synaptic plasticityrule explains homeostasis of neuromuscular transmission. eLife5:e12190, 10.7554/eLife.12190, 2016.

Overstreet, C. K., Klein, J. D. and Helms Tillery, S. I..Computational modeling of direct neuronal recruitment duringintracortical microstimulation in somatosensory cortex. Journalof Neural Engineering 10:066016, 10.1088/1741-2560/10/6/066016,2013.

Ovsepian, S. V., Steuber, V., Le Berre, M., O’Hara, L., O’Leary,V. B. and Dolly, J. O.. A defined heteromeric KV1 channelstabilizes the intrinsic pacemaking and regulates the output ofdeep cerebellar nuclear neurons to thalamic targets. Journal ofPhysiology 591:1771-1791, 10.1113/jphysiol.2012.249706, 2013.

Ozer, M., Graham, L. J., Erkaymaz, O. and Uzuntarla, M.. Impact ofsynaptic noise and conductance state on spontaneous corticalfiring. Neuroreport 18:1371-1374, 2007.

Padamsey, Z., Katsanevaki, D., Dupuy, N. and Rochefort, N. L..Neocortex saves energy by reducing coding precision during foodscarcity. Neuron 110:280-296.e10, 10.1016/j.neuron.2021.10.024,2022.

Padmashri, R., Ganguly, A., Mondal, P. P., Rajan, K. and Sikdar,S. K.. Kynurenate treatment of autaptic hippocampal microculturesaffect localized voltage-dependent calcium diffusion in thedendrites. Cell Calcium 39:247-258, 2006.

Paduraru, O.. Influence of the basal arborization on the firingpattern of a burst firing layer 5 neocortical neuron. Proceedingsof the Romanian Academy Series A-Mathematics Physics TechnicalSciences Information Science 8:65-70, 2007.

Paknahad, J., Kosta, P., Bouteiller, J.-M. C., Humayun, M. S. andLazzi, G.. Mechanisms underlying activation of retinal bipolarcells through targeted electrical stimulation: a computationalstudy. Journal of Neural Engineering 1810.1088/1741-2552/ac3dd8,2021a.

Paknahad, J., Kosta, P., Iseri, E., Farzad, S., Bouteiller, J.-M.C., Humayun, M. S. and Lazzi, G.. Modeling ON cone bipolar cellsfor electrical stimulation [Online]. Proc. 43rd Annual Int. Conf.of the IEEE Engineering in Medicine Biology Society (EMBC):6547-6550, 10.1109/EMBC46164.2021.9629884, 2021b.

Paknahad, J., Loizos, K., Humayun, M. and Lazzi, G..Responsiveness of retinal ganglion cells through frequencymodulation of electrical stimulation: a computational modelingstudy. Annual International Conference of the IEEE Engineering inMedicine and Biology Society 2020:3393-3398,10.1109/EMBC44109.2020.9176125, 2020a.

Paknahad, J., Loizos, K., Humayun, M. and Lazzi, G.. Targetedstimulation of retinal ganglion cells in epiretinal prostheses: amultiscale computational study. IEEE Transactions on NeuralSystems and Rehabilitation Engineering 28:2548-2556,10.1109/TNSRE.2020.3027560, 2020b.

Paknahad, J., Loizos, K., Yue, L., Humayun, M. S. and Lazzi, G..Color and cellular selectivity of retinal ganglion cell subtypesthrough frequency modulation of electrical stimulation.Scientific Reports 11:5177, 10.1038/s41598-021-84437-w, 2021c.

Palmer, L. M., Clark, B. A., Gründemann, J., Roth, A., Stuart, G.J. and Häusser, M.. Initiation of simple and complex spikes incerebellar Purkinje cells. Journal of Physiology 588:1709-1717,10.1113/jphysiol.2010.188300, 2010.

Palmer, L. M., Shai, A. S., Reeve, J. E., Anderson, H. L.,Paulsen, O. and Larkum, M. E.. NMDA spikes enhance actionpotential generation during sensory input. Nature Neuroscience17:383-390, 10.1038/nn.3646, 2014.

Palmer, L. M. and Stuart, G. J.. Membrane potential changes indendritic spines during action potentials and synaptic input.Journal of Neuroscience 29:6897-6903, 2009.

Pan, Y. and Cummins, T. R.. Distinct functional alterations inSCN8A epilepsy mutant channels. Journal of Physiology598:381-401, 10.1113/JP278952, 2020.

Papasavvas, C. A., Parrish, R. R. and Trevelyan, A. J..Propagating activity in neocortex, mediated by gap junctions andmodulated by extracellular potassium. eNeuro710.1523/ENEURO.0387-19.2020, 2020.

Papoutsi, A., Kastellakis, G. and Poirazi, P.. Basal treecomplexity shapes functional pathways in the prefrontal cortex.Journal of Neurophysiology 118:1970-1983, 10.1152/jn.00099.2017,2017.

Papoutsi, A., Sidiropoulou, K., Cutsuridis, V. and Poirazi, P..Induction and modulation of persistent activity in a layer V PFCmicrocircuit model. Frontiers in Neural Circuits 7:161,10.3389/fncir.2013.00161, 2013.

Papoutsi, A., Sidiropoulou, K. and Poirazi, P.. Dendriticnonlinearities reduce network size requirements and mediate ON andOFF states of persistent activity in a PFC microcircuit model.PLoS Computational Biology 10:e1003764,10.1371/journal.pcbi.1003764, 2014.

Parashar, M., Saha, K. and Bandyopadhyay, S.. Axon hillockcurrents enable single-neuron-resolved 3d reconstruction usingdiamond nitrogen-vacancy magnetometry. Communications Physics3:174, 10.1038/s42005-020-00439-6, 2020.

Parasuram, H., Nair, B., D’Angelo, E., Hines, M., Naldi, G. andDiwakar, S.. Computational modeling of single neuron extracellularelectric potentials and network local field potentials usingLFPsim. Frontiers in Computational Neuroscience 10:65,10.3389/fncom.2016.00065, 2016.

Parasuram, H., Nair, B., Naldi, G., D’Angelo, E. and Diwakar, S..A modeling based study on the origin and nature of evokedpost-synaptic local field potentials in granular layer. Journalof Physiology, Paris 105:71-82, 10.1016/j.jphysparis.2011.07.011,2011.

Parasuram, H., Nair, B., Naldi, G., D’Angelo, E. and Diwakar, S..Understanding cerebellum granular layer network computationsthrough mathematical reconstructions of evoked local fieldpotentials. Annals of Neurosciences 25:11-24, 10.1159/000481905,2018.

Paré, D., Lang, E. J. and Destexhe, A.. Inhibitory control ofsomatodendritic interactions underlying action potentials inneocortical pyramidal neurons in vivo: an intracellular andcomputational study. Neuroscience 84:377-402, 1998.

Parekh, R. and Ascoli, G. A.. Neuronal morphology goes digital: aresearch hub for cellular and system neuroscience. Neuron77:1017-1038, 10.1016/j.neuron.2013.03.008, 2013.

Park, A., Hoffman, K. and Keller, A.. Roles of GABAA and GABABreceptors in regulating thalamic activity by the zona incerta: acomputational study. Journal of Neurophysiology 112:2580-2596,10.1152/jn.00282.2014, 2014.

Park, D. S., Shekhar, A., Santucci, J., Redel-Traub, G., Solinas,S., Mintz, S., Lin, X., Chang, E. W., Narke, D., Xia, Y.,Goldfarb, M. and Fishman, G. I.. Ionic mechanisms of impulsepropagation failure in the FHF2-deficient heart. CirculationResearch 127:1536-1548, 10.1161/CIRCRESAHA.120.317349, 2020a.

Park, H.-J. and Durand, D. M.. Motion control of the ankle jointwith a multiple contact nerve cuff electrode: a simulation study.Biological Cybernetics 108:445-457, 10.1007/s00422-014-0612-8,2014.

Park, J., Papoutsi, A., Ash, R. T., Marin, M. A., Poirazi, P. andSmirnakis, S. M.. Contribution of apical and basal dendrites toorientation encoding in mouse V1 L2/3 pyramidal neurons. NatureCommunications 10:5372, 10.1038/s41467-019-13029-0, 2019a.

Park, K., Lee, J., Jang, H. J., Richards, B. A., Kohl, M. M. andKwag, J.. Optogenetic activation of parvalbumin and somatostatininterneurons selectively restores theta-nested gamma oscillationsand oscillation-induced spike timing-dependentlong-termpotentiation impaired by amyloid β oligomers. BMC Biology 18:7,10.1186/s12915-019-0732-7, 2020b.

Park, S. and Kwag, J.. Dendritic-targeting interneuron controlsspike timing of hippocampal CA1 pyramidal neuron via activation ofI(h). Neuroscience Letters 523:9-14,10.1016/j.neulet.2012.06.010, 2012.

Park, S., Sohn, J.-W., Cho, J. and Huh, Y.. A computationalmodeling reveals that strength of inhibitory input, E/I balance,and distance of excitatory input modulate thalamocortical burstingproperties. Experimental Neurobiology 28:568-577,10.5607/en.2019.28.5.568, 2019b.

Park, S. W., Jang, H. J., Kim, M. and Kwag, J.. Spatiotemporallyrandom and diverse grid cell spike patterns contribute to thetransformation of grid cell to place cell in a neural networkmodel. PLoS ONE 14:e0225100, 10.1371/journal.pone.0225100,2019c.

Parker, J. L., Laird-Wah, J. and Cousins, M. J.. Comparison of asimple model of dorsal column axons with the electrically evokedcompound action potential. Bioelectronics in Medicine 1:117-130,10.2217/bem-2017-0006, 2018.

Parker, J. L., Obradovic, M., Hesam Shariati, N., Gorman, R. B.,Karantonis, D. M., Single, P. S., Laird-Wah, J., Bickerstaff, M.and Cousins, M. J.. Evoked compound action potentials revealspinal cord dorsal column neuroanatomy. Neuromodulation23:82-95, 10.1111/ner.12968, 2020.

Pashut, T., Magidov, D., Ben-Porat, H., Wolfus, S., Friedman, A.,Perel, E., Lavidor, M., Bar-Gad, I., Yeshurun, Y. and Korngreen,A.. Patch-clamp recordings of rat neurons from acute brain slicesof the somatosensory cortex during magnetic stimulation.Frontiers in Cellular Neuroscience 8:145,10.3389/fncel.2014.00145, 2014.

Pashut, T., Wolfus, S., Friedman, A., Lavidor, M., Bar-Gad, I.,Yeshurun, Y. and Korngreen, A.. Mechanisms of magnetic stimulationof central nervous system neurons. PLoS Computational Biology7:e1002022, 10.1371/journal.pcbi.1002022, 2011.

Patel, R. R., Barbosa, C., Xiao, Y. and Cummins, T. R.. HumanNav1.6 channels generate larger resurgent currents than humanNav1.1 channels, but the Navβ4 peptide does not protect eitherisoform from use-dependent reduction. PLoS ONE 10:e0133485,10.1371/journal.pone.0133485, 2015.

Patoary, M. N. I., Tropper, C., McDougal, R. A., Lin, Z. andLytton, W. W.. Parallel stochastic discrete event simulation ofcalcium dynamics in NEURON. IEEE/ACM Transactions onComputational Biology and Bioinformatics 16:1007-1019,10.1109/TCBB.2017.2756930, 2019.

Paucar, M., Ågren, R., Li, T., Lissmats, S., Bergendal, Å.,Weinberg, J., Nilsson, D., Savichetva, I., Sahlholm, K., Nilsson,J. and Svenningsson, P.. V374a kcnd3 pathogenic variant associatedwith paroxysmal ataxia exacerbations. Neurology Genetics 7:e546,10.1212/NXG.0000000000000546, 2021.

Pavlov, I., Savtchenko, L. P., Kullmann, D. M., Semyanov, A. andWalker, M. C.. Outwardly rectifying tonically active GABAAreceptors in pyramidal cells modulate neuronal offset, not gain..Journal of Neuroscience 29:15341-15350,10.1523/JNEUROSCI.2747-09.2009, 2009.

Pavlov, I., Savtchenko, L. P., Song, I., Koo, J., Pimashkin, A.,Rusakov, D. A. and Semyanov, A.. Tonic GABAA conductancebidirectionally controls interneuron firing pattern andsynchronization in the CA3 hippocampal network. Proceedings ofthe National Academy of Sciences of the United States of America111:504-509, 10.1073/pnas.1308388110, 2014.

Pavlov, I., Scimemi, A., Savtchenko, L., Kullmann, D. M. andWalker, M. C.. I(h)-mediated depolarization enhances the temporalprecision of neuronal integration. Nature Communications 2:199,10.1038/ncomms1202, 2011.

Payne, H. L., French, R. L., Guo, C. C., Nguyen-Vu, T. B.,Manninen, T. and Raymond, J. L.. Cerebellar Purkinje cells controleye movements with a rapid rate code that is invariant to spikeirregularity. eLife 8:e37102, 10.7554/eLife.37102, 2019.

Pei, Z., Xiao, Y., Meng, J., Hudmon, A. and Cummins, T. R..Cardiac sodium channel palmitoylation regulates channelavailability and myocyte excitability with implications forarrhythmia generation. Nature Communications 7:12035,10.1038/ncomms12035, 2016.

Pelot, N. A., Behrend, C. E. and Grill, W. M.. Modeling theresponse of small myelinated axons in a compound nerve tokilohertz frequency signals. Journal of Neural Engineering14:046022, 10.1088/1741-2552/aa6a5f, 2017.

Pelot, N. A., Behrend, C. E. and Grill, W. M.. On the parametersused in finite element modeling of compound peripheral nerves.Journal of Neural Engineering 16:016007,10.1088/1741-2552/aaeb0c, 2019.

Pelot, N. A., Catherall, D. C., Thio, B. J., Titus, N. D., Liang,E. D., Henriquez, C. S. and Grill, W. M.. Excitation properties ofcomputational models of unmyelinated peripheral axons. Journal ofNeurophysiology 125:86-104, 10.1152/jn.00315.2020, 2021.

Pelot, N. A., Thio, B. J. and Grill, W. M.. Modeling currentsources for neural stimulation in COMSOL. Frontiers inComputational Neuroscience 12:40, 10.3389/fncom.2018.00040, 2018.

Peña, E., Pelot, N. A. and Grill, W. M.. Quantitative comparisonsof block thresholds and onset responses for charge-balancedkilohertz frequency waveforms. Journal of Neural Engineering17:046048, 10.1088/1741-2552/abadb5, 2020.

Peña, E., Pelot, N. A. and Grill, W. M.. Non-monotonic kilohertzfrequency neural block thresholds arise from amplitude- andfrequency-dependent charge imbalance. Scientific Reports11:5077, 10.1038/s41598-021-84503-3, 2021.

Peña, E., Zhang, S., Deyo, S., Xiao, Y. and Johnson, M. D..Particle swarm optimization for programming deep brain stimulationarrays. Journal of Neural Engineering 14:016014,10.1088/1741-2552/aa52d1, 2017.

Peña, E., Zhang, S., Patriat, R., Aman, J. E., Vitek, J. L.,Harel, N. and Johnson, M. D.. Multi-objective particle swarmoptimization for postoperative deep brain stimulation targeting ofsubthalamic nucleus pathways. Journal of Neural Engineering15:066020, 10.1088/1741-2552/aae12f, 2018.

Pena, R. F. O., Ceballos, C. C., Lima, V. and Roque, A. C..Interplay of activation kinetics and the derivative conductancedetermines resonance properties of neurons. Physical Review E9710.1103/physreve.97.042408, 2018.

Pena, R. F. O., Lima, V., Shimoura, R. O., Ceballos, C. C.,Rotstein, H. G. and Roque, A. C.. Asymmetrical voltage response inresonant neurons shaped by nonlinearities. Chaos 29:103135,10.1063/1.5110033, 2019.

Pendyam, S., Bravo-Rivera, C., Burgos-Robles, A., Sotres-Bayon,F., Quirk, G. J. and Nair, S. S.. Fear signaling in theprelimbic-amygdala circuit: a computational modeling and recordingstudy. Journal of Neurophysiology 110:844-861,10.1152/jn.00961.2012, 2013.

Peng, Y., Barreda Tomas, F. J., Pfeiffer, P., Drangmeister, M.,Schreiber, S., Vida, I. and Geiger, J. R. P.. Spatially structuredinhibition defined by polarized parvalbumin interneuron axonspromotes head direction tuning. Science Advances710.1126/sciadv.abg4693, 2021.

Perge, J. A., Koch, K., Miller, R., Sterling, P. andBalasubramanian, V.. How the optic nerve allocates space, energycapacity, and information. Journal of Neuroscience 29:7917-7928,2009.

Pernía-Andrade, A. J., Goswami, S. P., Stickler, Y., Fröbe, U.,Schlögl, A. and Jonas, P.. A deconvolution-based method with highsensitivity and temporal resolution for detection of spontaneoussynaptic currents in vitro and in vivo. Biophysical Journal103:1429-1439, 10.1016/j.bpj.2012.08.039, 2012.

Peron, S. P., Krapp, H. G. and Gabbiani, F.. Influence ofelectrotonic structure and synaptic mapping on the receptive fieldproperties of a collision-detecting neuron. Journal ofNeurophysiology 97:159-177, 2007.

Peron, S. P., Jones, P. W. and Gabbiani, F.. Precise subcellularinput retinotopy and Its computational consequences in anidentified visual interneuron. Neuron 63:830-842,10.1016/j.neuron.2009.09.010, 2009.

Perra, E., Rapeaux, A. and Nikolic, K.. The crucial role of nervedepolarisation in high frequency conduction block in mammaliannerves: simulation study. IEEE Engineering in Medicine andBiology Society. Annual Conference 2018:2214-2217,10.1109/EMBC.2018.8512759, 2018.

Perreault, M. C. and Raastad, M.. Contribution of morphology andmembrane resistance to integration of fast synaptic signals in twothalamic cell types. Journal of Physiology 577:205-220, 2006.

Perumal, M. B., Latimer, B., Xu, L., Stratton, P., Nair, S. andSah, P.. Microcircuit mechanisms for the generation of sharp-waveripples in the basolateral amygdala: a role for chandelierinterneurons. Cell Reports 35:109106,10.1016/j.celrep.2021.109106, 2021.

Peterson, E. J., Izad, O. and Tyler, D. J.. Predicting myelinatedaxon activation using spatial characteristics of the extracellularfield. Journal of Neural Engineering 8:046030,10.1088/1741-2560/8/4/046030, 2011.

Petersson, M. E. and Fransén, E.. Long-lasting small-amplitudeTRP-mediated dendritic depolarizations in CA1 pyramidal neuronsare intrinsically stable and originate from distal tuft regions..European Journal of Neuroscience 36:2917-2925,10.1111/j.1460-9568.2012.08199.x, 2012.

Petersson, M. E., Yoshida, M. and Fransén, E. A.. Low-frequencysummation of synaptically activated transient receptor potentialchannel-mediated depolarizations. European Journal ofNeuroscience 34:578-593, 10.1111/j.1460-9568.2011.07791.x, 2011.

Petrini, E. M., Nieus, T., Ravasenga, T., Succol, F., Guazzi, S.,Benfenati, F. and Barberis, A.. Influence of GABAAR monoligandedstates on GABAergic responses. Journal of Neuroscience31:1752-1761, 10.1523/JNEUROSCI.1453-10.2011, 2011.

Petrini, F. M., Mazzoni, A., Rigosa, J., Giambattistelli, F.,Granata, G., Barra, B., Pampaloni, A., Guglielmelli, E., Zollo,L., Capogrosso, M., Micera, S. and Raspopovic, S..Microneurography as a tool to develop decoding algorithms forperipheral neuro-controlled hand prostheses. BiomedicalEngineering Online 18:44, 10.1186/s12938-019-0659-9, 2019.

Petrovici, M. A.. Form Versus Function: Theory and Models forNeuronal Substrates. Springer International Publishing,10.1007/978-3-319-39552-4, 2016.

Petrovici, M. A., Bill, J., Bytschok, I., Schemmel, J. and Meier,K.. Stochastic inference with spiking neurons in thehigh-conductance state. Physical Review E 94:042312,10.1103/PhysRevE.94.042312, 2016.

Pettersen, K. H. and Einevoll, G. T.. Amplitude variability andextracellular low-pass filtering of neuronal spikes. BiophysicalJournal 94:784-802, 2008.

Pettersen, K. H., Hagen, E. and Einevoll, G. T.. Estimation ofpopulation firing rates and current source densities from laminarelectrode recordings. Journal of Computational Neuroscience24:291-313, 2008.

Pettersen, K. H., Lindén, H., Tetzlaff, T. and Einevoll, G. T..Power laws from linear neuronal cable theory: power spectraldensities of the soma potential, soma membrane current andsingle-neuron contribution to the EEG. PLoS ComputationalBiology 10:e1003928, 10.1371/journal.pcbi.1003928, 2014.

Pezo, D., Soudry, D. and Orio, P.. Diffusion approximation-basedsimulation of stochastic ion channels: which method to use?.Frontiers in Computational Neuroscience 8:139,10.3389/fncom.2014.00139, 2014.

Pfanzelt, S., Rössert, C., Rohregger, M., Glasauer, S., Moore, L.E. and Straka, H.. Differential dynamic processing of afferentsignals in frog tonic and phasic second-order vestibular neurons.Journal of Neuroscience 28:10349-10362,10.1523/JNEUROSCI.3368-08.2008, 2008.

Pfeil, T., Grübl, A., Jeltsch, S., Müller, E., Müller, P.,Petrovici, M. A., Schmuker, M., Brüderle, D., Schemmel, J. andMeier, K.. Six networks on a universal neuromorphic computingsubstrate. Frontiers in neuroscience 7:11,10.3389/fnins.2013.00011, 2013.

Pham, D.-T. J., Yu, G. J., Bouteiller, J.-M. C. and Berger, T. W..Bridging hierarchies in multi-scale models of neural systems:look-up tables enable computationally efficient simulations ofnon-linear synaptic dynamics. Frontiers in ComputationalNeuroscience 15:733155, 10.3389/fncom.2021.733155, 2021.

Phohomsiri, P., Gibbons, M., Volman, V., Cui, J. and Ng, L.. Afast-running, end-to-end concussion risk model for assessment ofcomplex human head kinematics. Military Medicine 183:339-346,10.1093/milmed/usx202, 2018.

Phoka, E., c*ntz, H., Roth, A. and Häusser, M.. A new approach fordetermining phase response curves reveals that Purkinje cells canact as perfect integrators. PLoS Computational Biology6:e1000768, 10.1371/journal.pcbi.1000768, 2010.

Pimentel, J. M., Moioli, R. C., de Araujo, M. F. P., Ranieri, C.M., Romero, R. A. F., Broz, F. and Vargas, P. A.. Neuro4PD: aninitial neurorobotics model of Parkinson’s disease. Frontiers inNeurorobotics 15:640449, 10.3389/fnbot.2021.640449, 2021.

Piña, R., Ugarte, G., Campos, M., Íñigo-Portugués, A., Olivares,E., Orio, P., Belmonte, C., Bacigalupo, J. and Madrid, R.. Role ofTRPM8 channels in altered cold sensitivity of corneal primarysensory neurons induced by axonal damage. Journal ofNeuroscience 39:8177-8192, 10.1523/JNEUROSCI.0654-19.2019, 2019.

Pinotsis, D. A., Geerts, J. P., Pinto, L., FitzGerald, T. H. B.,Litvak, V., Auksztulewicz, R. and Friston, K. J.. Linkingcanonical microcircuits and neuronal activity: Dynamic causalmodelling of laminar recordings. NeuroImage 146:355-366,10.1016/j.neuroimage.2016.11.041, 2017.

Pissadaki, E. K. and Bolam, J. P.. The energy cost of actionpotential propagation in dopamine neurons: clues to susceptibilityin Parkinson’s disease. Frontiers In Computational Neuroscience7:13, 10.3389/fncom.2013.00013, 2013.

Pissadaki, E. K. and Poirazi, P.. Modulation of excitability inCA1 pyramidal neurons via the interplay of entorhinal cortex andCA3 inputs. Neurocomputing 70:1735-1740, 2007.

Pissadaki, E. K., Sidiropoulou, K., Reczko, M. and Poirazi, P..Encoding of spatio-temporal input characteristics by a CA1pyramidal neuron model. PLoS Computational Biology 6:e1001038,10.1371/journal.pcbi.1001038, 2010.

Piwkowska, Z., Destexhe, A. and Bal, T.. Associating living cellsand computational models: from basics to present applications ofthe dynamic-clamp. In: Dynamic-Clamp: From Principles toApplications, edited by Destexhe, A. and Bal, T.. Springer,2009a, pp. 1-30.

Piwkowska, Z., Pospischil, M., Brette, R., Sliwa, J.,Rudolph-Lilith, M., Bal, T. and Destexhe, A.. Characterizingsynaptic conductance fluctuations in cortical neurons and theirinfluence on spike generation. Journal of Neuroscience Methods169:302-322, 2008.

Piwkowska, Z., Pospischil, M., Rudolph-Lilith, M., Bal, T. andDestexhe, A.. Testing methods for synaptic conductance analysisusing controlled conductance injection with dynamic clamp. In:Dynamic-Clamp: From Principles to Applications, edited byDestexhe, A. and Bal, T.. Springer, 2009b, pp. 115-140.

Piwkowska, Z., Rudolph, M., Badoual, M., Destexhe, A. and Bal, T..Re-creating active states in vitro with a dynamic-clamp protocol.Neurocomputing 65-66:55-60, 2005.

Platschek, S., c*ntz, H., Vuksic, M., Deller, T. and Jedlicka, P..A general homeostatic principle following lesion induced dendriticremodeling. Acta Neuropathologica Communications410.1186/s40478-016-0285-8, 2016.

Plotkin, J. L., Day, M. and Surmeier, D. J.. Synaptically drivenstate transitions in distal dendrites of striatal spiny neurons.Nature Neuroscience 14:881-888, 10.1038/nn.2848, 2011.

Poirazi, P., Brannon, T. and Mel, B. W.. Arithmetic ofsubthreshold synaptic summation in a model CA1 pyramidal cell.Neuron 37:977-987, 2003a.

Poirazi, P., Brannon, T. and Mel, B. W.. Pyramidal neuron astwo-layer neural network. Neuron 37:989-999, 2003b.

Poirazi, P. and Pissadaki, E.. The making of a detailed CA1pyramidal neuron model. In: Hippocampal Microcircuits, edited byCutsuridis, V., Graham, B., Cobb, S. and Vida, I.. Springer, 2010,pp. 317-352.

Poleg-Polsky, A.. Effects of neural morphology and inputdistribution on synaptic processing by global and focalNMDA-spikes. PLoS ONE 10:e0140254, 10.1371/journal.pone.0140254,2015.

Poleg-Polsky, A.. Dendritic spikes expand the range ofwell-tolerated population noise structures. Journal ofNeuroscience 39:9173-9184, 10.1523/JNEUROSCI.0638-19.2019, 2019.

Poleg-Polsky, A. and Diamond, J. S.. Imperfect space clamp permitselectrotonic interactions between inhibitory and excitatorysynaptic conductances, distorting voltage clamp recordings. PLoSONE 6:e19463, 10.1371/journal.pone.0019463, 2011.

Poleg-Polsky, A. and Diamond, J. S.. NMDA receptorsmultiplicatively scale visual signals and enhance directionalmotion discrimination in retinal ganglion cells. Neuron89:1277-1290, 10.1016/j.neuron.2016.02.013, 2016a.

Poleg-Polsky, A. and Diamond, J. S.. Retinal circuitry balancescontrast tuning of excitation and inhibition to enable reliablecomputation of direction selectivity. Journal of Neuroscience36:5861-5876, 10.1523/JNEUROSCI.4013-15.2016, 2016b.

Polsky, A., Mel, B. and Schiller, J.. Encoding and decoding burstsby NMDA spikes in basal dendrites of layer 5 pyramidal neurons.Journal of Neuroscience 29:11891-11903,10.1523/JNEUROSCI.5250-08.2009, 2009.

Poolos, N. P., Migliore, M. and Johnston, D.. Pharmacologicalupregulation of h-channels reduces the excitability of pyramidalneuron dendrites. Nature Neuroscience 5:767-774, 2002.

Popovic, M. A., Carnevale, N., Rozsa, B. and Zecevic, D..Electrical behaviour of dendritic spines as revealed by voltageimaging. Nature Communications 6:8436, 10.1038/ncomms9436, 2015.

Popovic, M. A., Gao, X., Carnevale, N. T. and Zecevic, D..Cortical dendritic spine heads are not electrically isolated bythe spine neck from membrane potential signals in parentdendrites. Cerebral Cortex 24:385-395, 10.1093/cercor/bhs320,2014.

Portegys, T. E.. Training sensory–motor behavior in the connectomeof an artificial C. elegans. Neurocomputing 168:128 - 134,http://dx.doi.org/10.1016/j.neucom.2015.06.007, 2015.

Pospischil, M., Piwkowska, Z., Bal, T. and Destexhe, A..Characterizing neuronal activity by describing the membranepotential as a stochastic process. Journal of Physiology, Paris103:98-106, 10.1016/j.jphysparis.2009.05.010, 2009a.

Pospischil, M., Piwkowska, Z., Bal, T. and Destexhe, A..Extracting synaptic conductances from single membrane potentialtraces. Neuroscience 158:545-552, 2009b.

Pospischil, M., Piwkowska, Z., Bal, T. and Destexhe, A..Comparison of different neuron models to conductance-basedpost-stimulus time histograms obtained in cortical pyramidal cellsusing dynamic-clamp in vitro. Biological Cybernetics105:167-180, 10.1007/s00422-011-0458-2, 2011.

Pospischil, M., Piwkowska, Z., Rudolph, M., Bal, T. and Destexhe,A.. Calculating event-triggered average synaptic conductances fromthe membrane potential. Journal of Neurophysiology 97:2544-2552,2007.

Pospischil, M., Toledo-Rodriguez, M., Monier, C., Piwkowska, Z.,Bal, T., Fregnac, Y., Markram, H. and Destexhe, A.. MinimalHodgkin-Huxley type models for different classes of cortical andthalamic neurons. Biological Cybernetics 99:427-441, 2008.

Postlethwaite, M., Hennig, M. H., Steinert, J. R., Graham, B. P.and Forsythe, I. D.. Acceleration of AMPA receptor kineticsunderlies temperature-dependent changes in synaptic strength atthe rat calyx of Held. Journal of Physiology 579:69-84, 2007.

Potrusil, T., Heshmat, A., Sajedi, S., Wenger, C., Johnson Chacko,L., Glueckert, R., Schrott-Fischer, A. and Rattay, F.. Finiteelement analysis and three-dimensional reconstruction oftonotopically aligned human auditory fiber pathways: acomputational environment for modeling electrical stimulation by acochlear implant based on micro-CT. Hearing Research 393:108001,10.1016/j.heares.2020.108001, 2020.

Pouille, F., McTavish, T. S., Hunter, L. E., Restrepo, D. andSchoppa, N. E.. Intraglomerular gap junctions enhanceinterglomerular synchrony in a sparsely connected olfactory bulbnetwork. Journal of Physiology 595:5965-5986, 10.1113/JP274408,2017.

Pouille, F., Watkinson, O., Scanziani, M. and Trevelyan, A. J..The contribution of synaptic location to inhibitory gain controlin pyramidal cells. Physiological Reports 1:e00067,10.1002/phy2.67, 2013.

Poulsen, A. H., Tigerholm, J., Andersen, O. K. and Mørch, C. D..Increased preferential activation of small cutaneous nerve fibersby optimization of electrode design parameters. Journal of NeuralEngineering 10.1088/1741-2552/abd1c1, 2020a.

Poulsen, A. H., Tigerholm, J., Meijs, S., Andersen, O. K. andMørch, C. D.. Comparison of existing electrode designs forpreferential activation of cutaneous nociceptors. Journal ofNeural Engineering 10.1088/1741-2552/ab85b1, 2020b.

Pousinha, P. A., Mouska, X., Bianchi, D., Temido-Ferreira, M.,Rajão-Saraiva, J., Gomes, R., Fernandez, S. P., Salgueiro-Pereira,A. R., Gandin, C., Raymond, E. F., Barik, J., Goutagny, R.,Bethus, I., Lopes, L. V., Migliore, M. and Marie, H.. The amyloidprecursor protein C-terminal domain alters CA1 neuron firing,modifying hippocampus oscillations and impairing spatial memoryencoding. Cell Reports 29:317-331.e5,10.1016/j.celrep.2019.08.103, 2019.

Power, J. M., Bocklisch, C., Curby, P. and Sah, P.. Location andfunction of the slow afterhyperpolarization channels in thebasolateral amygdala. Journal of Neuroscience 31:526-537,10.1523/JNEUROSCI.1045-10.2011, 2011.

Powers, B. E., Lasiene, J., Plemel, J. R., Shupe, L., Perlmutter,S. I., Tetzlaff, W. and Horner, P. J.. Axonal thinning andextensive remyelination without chronic demyelination in spinalinjured rats. Journal of Neuroscience 32:5120-5125,10.1523/JNEUROSCI.0002-12.2012, 2012a.

Powers, R. K., ElBasiouny, S. M., Rymer, W. Z. and Heckman, C. J..Contribution of intrinsic properties and synaptic inputs tomotoneuron discharge patterns: a simulation study. Journal ofNeurophysiology 107:808-823, 10.1152/jn.00510.2011, 2012b.

Powers, R. K. and Heckman, C. J.. Contribution of intrinsicmotoneuron properties to discharge hysteresis and its estimationbased on paired motor unit recordings: a simulation study.Journal of Neurophysiology 114:184-198, 10.1152/jn.00019.2015,2015.

Powers, R. K. and Heckman, C. J.. Synaptic control of the shape ofthe motoneuron pool input-output function. Journal ofNeurophysiology 117:1171-1184, 10.1152/jn.00850.2016, 2017.

Pozzorini, C., Mensi, S., Hagens, O., Naud, R., Koch, C. andGerstner, W.. Automated high-throughput characterization of singleneurons by means of simplified spiking models. PLoS ComputationalBiology 11:e1004275, 10.1371/journal.pcbi.1004275, 2015.

Presannan, A., Rajendran, A., Nair, B. and Diwakar, S..Reproducing the firing properties of a cerebellum deep cerebellarnucleus with a multi-compartmental morphologically realisticbiophysical model [Online]. 2018 International Conference onAdvances in Computing, Communications and Informatics7:1371-1375, 2018.

Prescott, S. A. and De Koninck, Y.. Integration time in a subsetof spinal lamina I neurons is lengthened by sodium and calciumcurrents acting synergistically to prolong subthresholddepolarization. Journal of Neuroscience 25:4743-4754, 2005.

Prescott, S. A. and De Koninck, Y.. Gain control of firing rate byshunting inhibition: roles of synaptic noise and dendriticsaturation. Proceedings of the National Academy of Sciences ofthe United States of America 100:2076-2081, 2003.

Prescott, S. A., Sejnowski, T. J. and De Koninck, Y.. Reduction ofanion reversal potential subverts the inhibitory control of firingrate in spinal lamina I neurons: towards a biophysical basis forneuropathic pain. Molecular Pain 2:32, 10.1186/1744-8069-2-32,2006.

Prime, L. and Pichon, Y.. Role of ligand-gated ion channels in theswimming behaviour of Xenopus tadpoles: experimental data andmodelling experiments. European Biophysics Journal withBiophysics Letters 33:265-273, 2004.

Probst, D., Petrovici, M. A., Bytschok, I., Bill, J., Pecevski,D., Schemmel, J. and Meier, K.. Probabilistic inference indiscrete spaces can be implemented into networks of LIF neurons.Frontiers in Computational Neuroscience 9:13,10.3389/fncom.2015.00013, 2015.

Proddutur, A., Yu, J., Elgammal, F. S. and Santhakumar, V..Seizure-induced alterations in fast-spiking basket cell GABAcurrents modulate frequency and coherence of gamma oscillation innetwork simulations. Chaos 23:046109, 10.1063/1.4830138, 2013.

Psarrou, M., Stefanou, S. S., Papoutsi, A., Tzilivaki, A.,Cutsuridis, V. and Poirazi, P.. A simulation study on the effectsof dendritic morphology on layer V prefrontal pyramidal cellfiring behavior. Frontiers in Cellular Neuroscience 8:287,10.3389/fncel.2014.00287, 2014.

Publio, R., Ceballos, C. C. and Roque, A. C.. Dynamic range ofvertebrate retina ganglion cells: importance of active dendritesand coupling by electrical synapses. PLoS ONE 7:e48517,10.1371/journal.pone.0048517, 2012.

Publio, R., Oliveira, R. F. and Roquea, A. C.. A realistic modelof rod photoreceptor for use in a retina network model.Neurocomputing 69:1020-1024, 2006.

Publio, R., Oliveira, R. F. and Roque, A. C.. A computationalstudy on the role of gap junctions and rod i(h) conductance in theenhancement of the dynamic range of the retina. PLoS ONE4:e6970, 10.1371/journal.pone.0006970, 2009.

Pugh, J. R. and Raman, I. M.. GABAA receptor kinetics in thecerebellar nuclei: evidence for detection of transmitter fromdistant release sites. Biophysical Journal 88:1740-1754, 2005.

Qi, G. and Feldmeyer, D.. Dendritic target region-specificformation of synapses between excitatory layer 4 neurons and layer6 pyramidal cells. Cerebral Cortex 26:1569-1579,10.1093/cercor/bhu334, 2015.

Quindlen, J. C., Stolarski, H. K., Johnson, M. D. and Barocas, V.H.. A multiphysics model of the Pacinian corpuscle. IntegrativeBiology 8:1111-1125, 10.1039/c6ib00157b, 2016.

Quindlen-Hotek, J. C. and Barocas, V. H.. A finite-element modelof mechanosensation by a Pacinian corpuscle cluster in human skin.Biomechanics and Modeling in Mechanobiology 17:1053-1067,10.1007/s10237-018-1011-1, 2018.

Quindlen-Hotek, J. C., Bloom, E. T., Johnston, O. K. and Barocas,V. H.. An inter-species computational analysis of vibrotactilesensitivity in Pacinian and Herbst corpuscles. Royal Society OpenScience 7:191439, 10.1098/rsos.191439, 2020.

Raastad, M.. The slow depolarization following individual spikesin thin, unmyelinated axons in mammalian cortex. Frontiers InCellular Neuroscience 13:203, 10.3389/fncel.2019.00203, 2019.

Raastad, M., Enriquez-Denton, M. and Kiehn, O.. Synaptic signalingin an active central network only moderately changes passivemembrane properties. Proceedings of the National Academy ofSciences of the United States of America 95:10251-10256, 1998.

Raastad, M. and Lipowski, R.. Diversity of postsynaptic amplitudeand failure probability of unitary excitatory synapses between CA3and CA1 cells in the rat hippocampus. European Journal ofNeuroscience 8:1265-1274, 1996.

Rabang, C. F. and Bartlett, E. L.. A computational model ofcellular mechanisms of temporal coding in the medial geniculatebody (MGB). PLoS ONE 6:e29375, 10.1371/journal.pone.0029375,2011.

Rabang, C. F., Parthasarathy, A., Venkataraman, Y., Fisher, Z. L.,Gardner, S. M. and Bartlett, E. L.. A computational model ofinferior colliculus responses to amplitude modulated sounds inyoung and aged rats. Frontiers in Neural Circuits 6:77,10.3389/fncir.2012.00077, 2012.

Rabinowitch, I. and Segev, I.. The endurance and selectivity ofspatial patterns of long-yerm potentiation/depression in dendritesunder homeostatic synaptic slasticity. Journal of Neuroscience26:13474-13484, 2006a.

Rabinowitch, I. and Segev, I.. The interplay between homeostaticsynaptic plasticity and functional dendritic compartments.Journal of Neurophysiology 96:276-283, 2006b.

Radecki, D. Z., Johnson, E. L., Brown, A. K., Meshkin, N. T.,Perrine, S. A. and Gow, A.. Corticohippocampal dysfunction in theOBiden mouse model of primary oligodendrogliopathy. ScientificReports 8:16116, 10.1038/s41598-018-34414-7, 2018.

Radhakrishnan, S., Nutakki, C., Nair, B. and Diwakar, S.. Modelingnitric oxide induced neural activity and neurovascular coupling ina cerebellum circuit [Online]. 2018 International Conference onAdvances in Computing, Communications and Informatics 7:139-142,2018.

Rahman, A., Reato, D., Arlotti, M., Gasca, F., Datta, A., Parra,L. C. and Bikson, M.. Cellular effects of acute direct currentstimulation: somatic and synaptic terminal effects. Journal ofPhysiology 591:2563-2578, 10.1113/jphysiol.2012.247171, 2013.

Raikov, I. and De Schutter, E.. The layer-oriented approach todeclarative languages for biological modeling. PLoS ComputationalBiology 8:e1002521, 10.1371/journal.pcbi.1002521, 2012.

Rajaram, E., Kaltenbach, C., Fischl, M. J., Mrowka, L.,Alexandrova, O., Grothe, B., Hennig, M. H. and Kopp-Scheinpflug,C.. Slow NMDA-mediated excitation accelerates offset-responselatencies generated via a post-inhibitory rebound mechanism.eNeuro 6:ENEURO.0106-19.2019, 10.1523/ENEURO.0106-19.2019, 2019.

Rajendran, A., Thankamani, A., Nirmala, N., Nair, B. and Diwakar,S.. Computational neuroscience of substantia nigra circuit anddopamine modulation during Parkinson’s disease [Online]. 2017International Conference on Advances in Computing, Communicationsand Informatics 7:522-526, 10.1109/ICACCI.2017.8125892, 2017.

Rama, S., Zbili, M., Fékété, A., Tapia, M., Benitez, M. J.,Boumedine, N., Garrido, J. J. and Debanne, D.. The role of axonalKv1 channels in CA3 pyramidal cell excitability. ScientificReports 7:315, 10.1038/s41598-017-00388-1, 2017.

Ramaswamy, S., Colangelo, C. and Markram, H.. Data-driven modelingof cholinergic modulation of neural microcircuits: bridgingneurons, synapses and network activity. Frontiers in NeuralCircuits 12:77, 10.3389/fncir.2018.00077, 2018.

Ramaswamy, S., Courcol, J.-D., Abdellah, M., Adaszewski, S. R.,Antille, N., Arsever, S., Atenekeng, G., Bilgili, A., Brukau, Y.,Chalimourda, A., Chindemi, G., Delalondre, F., Dumusc, R.,Eilemann, S., Gevaert, M. E., Gleeson, P., Graham, J. W.,Hernando, J. B., Kanari, L., Katkov, Y., Keller, D., King, J. G.,Ranjan, R., Reimann, M. W., Rössert, C., Shi, Y., Shillco*ck, J.C., Telefont, M., Van Geit, W., Diaz, J. V., Walker, R., Wang, Y.,Zaninetta, S. M., DeFelipe, J., Hill, S. L., Muller, J., Segev,I., Schürmann, F., Muller, E. B. and Markram, H.. The neocorticalmicrocircuit collaboration portal: a resource for ratsomatosensory cortex. Frontiers in Neural Circuits 9:44,10.3389/fncir.2015.00044, 2015.

Ramaswamy, S., Hill, S. L., King, J. G., Schürmann, F., Wang, Y.and Markram, H.. Intrinsic morphological diversity of thick-tuftedlayer 5 pyramidal neurons ensures robust and invariant propertiesof in silico synaptic connections. Journal of Physiology590:737-752, 10.1113/jphysiol.2011.219576, 2012.

Ramos-de-Miguel, Á., Escobar, J. M., Greiner, D. and Ramos-Macías,Á.. A multiobjective optimization procedure for the electrodedesign of cochlear implants. International Journal for NumericalMethods in Biomedical Engineering 34:e2992, 10.1002/cnm.2992,2018.

Ramracheya, R., Chapman, C., Chibalina, M., Dou, H., Miranda, C.,González, A., Moritoh, Y., Shigeto, M., Zhang, Q., Braun, M.,Clark, A., Johnson, P. R., Rorsman, P. and Briant, L. J. B.. GLP-1suppresses glucagon secretion in human pancreatic alpha-cells byinhibition of P/Q-type Ca2+ channels. Physiological Reports6:e13852, 10.14814/phy2.13852, 2018.

RamRakhyani, A. K., Kagan, Z. B., Warren, D. J., Normann, R. A.and Lazzi, G.. A μm-scale computational model of magnetic neuralstimulation in multifascicular peripheral nerves. IEEETransactions on Biomedical Engineering 62:2837-2849,10.1109/TBME.2015.2446761, 2015.

Ran, Y., Huang, Z., Baden, T., Schubert, T., Baayen, H., Berens,P., Franke, K. and Euler, T.. Type-specific dendritic integrationin mouse retinal ganglion cells. Nature Communications 11:2101,10.1038/s41467-020-15867-9, 2020.

Rane, M. and Manchanda, R.. Effects of location and extent ofspine clustering on synaptic integration in striatal medium spinyneurons-a computational study. Medical and Biological Engineeringand Computing 56:1173-1187, 10.1007/s11517-017-1760-5, 2018.

Rane, M., Shah, A., Sheth, S. and Manchanda, R.. Computationalinvestigation of effects of UP state on EPSP in striatal mediumspiny neurons [Online]. 2012 International Conference onBiomedical Engineering, 10.1109/icobe.2012.6178980, 2012.

Ranieri, C. M., Pimentel, J. M., Romano, M. R., Elias, L. A.,Romero, R. A. F., Lones, M. A., Araujo, M. F. P., Vargas, P. A.and Moioli, R. C.. A data-driven biophysical computational modelof Parkinson’s disease based on marmoset monkeys. IEEE Access9:122548-122567, 10.1109/ACCESS.2021.3108682, 2021.

Ranjan, R., Khazen, G., Gambazzi, L., Ramaswamy, S., Hill, S. L.,Schürmann, F. and Markram, H.. Channelpedia: an integrative andinteractive database for ion channels. Frontiers InNeuroinformatics 5:36, 10.3389/fninf.2011.00036, 2011.

Rapeaux, A., Nikolic, K., Williams, I., Eftekhar, A. andConstandinou, T. G.. Fiber size-selective stimulation using actionpotential filtering for a peripheral nerve interface: a simulationstudy. IEEE Engineering in Medicine and Biology Society. AnnualConference 2015:3411-3414, 10.1109/EMBC.2015.7319125, 2015.

Rapp, M., Yarom, Y. and Segev, I.. Modeling back propagatingaction potential in weakly excitable dendrites of neocorticalpyramidal cells. Proceedings of the National Academy of Sciencesof the United States of America 93:11985-11990, 1996.

Rapp, M., Yarom, Y. and Segev, I.. A detailed model of signaltransmission in excitable dendrites of rat neocortical pyramidalcells. In: Computational Neuroscience: Trends in Research, 1997,edited by Bower, J. M.. New York: New York, Plenum Press, 1997,pp. 183-188.

Raspopovic, S., Capogrosso, M., Badia, J., Navarro, X. and Micera,S.. Experimental validation of a hybrid computational model forselective stimulation using transverse intrafascicularmultichannel electrodes. IEEE Transactions on Neural Systems andRehabilitation Engineering 20:395-404,10.1109/TNSRE.2012.2189021, 2012.

Raspopovic, S., Capogrosso, M. and Micera, S.. A computationalmodel for the stimulation of rat sciatic nerve using a transverseintrafascicular multichannel electrode. IEEE Transactions onNeural Systems and Rehabilitation Engineering 19:333-344,10.1109/TNSRE.2011.2151878, 2011.

Rathour, R. K. and Narayanan, R.. Inactivating ion channelsaugment robustness of subthreshold intrinsic response dynamics toparametric variability in hippocampal model neurons. Journal ofPhysiology 590:5629-5652, 10.1113/jphysiol.2012.239418, 2012a.

Rathour, R. K. and Narayanan, R.. Influence fields: a quantitativeframework for representation and analysis of active dendrites.Journal of Neurophysiology 107:2313-2334, 10.1152/jn.00846.2011,2012b.

Rathour, R. K. and Narayanan, R.. Homeostasis of functional mapsin active dendrites emerges in the absence of individualchannelostasis. Proceedings of the National Academy of Sciencesof the United States of America 111:E1787-E1796,10.1073/pnas.1316599111, 2014.

Rattay, F., Paredes, L. P. and Leao, R. N.. Strength-durationrelationship for intra-versus extracellular stimulation withmicroelectrodes. Neuroscience 214:1-13,10.1016/j.neuroscience.2012.04.004, 2012.

Ratté, S., Prescott, S. A., Collinge, J. and Jefferys, J. G. R..Hippocampal bursts caused by changes in NMDA receptor-dependentexcitation in a mouse model of variant CJD. Neurobiology ofDisease 32:96-104, 10.1016/j.nbd.2008.06.007, 2008.

Ray, S., Aldworth, Z. N. and Stopfer, M. A.. Feedback inhibitionand its control in an insect olfactory circuit. eLife910.7554/eLife.53281, 2020.

Ray, S. and Bhalla, U. S.. PyMOOSE: interoperable scripting inPython for MOOSE. Frontiers in Neuroinformatics 2:6,10.3389/neuro.11.006.2008, 2008.

Raymond, S. A.. Subblocking concentrations of local-anesthetics -effects on impulse generation and conduction in single myelinatedsciatic-nerve axons in frog. Anesthesia and Analgesia75:906-921, 1992.

Recugnat, M., Undurraga, J. A. and McAlpine, D.. Spike-RateAdaptation in a Computational Model of Human-Shaped SpiralGanglion Neurons.. IEEE transactions on bio-medical engineering69:602-612, 10.1109/TBME.2021.3102129, 2022.

Reetz, O., Stadler, K. and Strauss, U.. Protein kinase Cactivation mediates interferon-β-induced neuronal excitabilitychanges in neocortical pyramidal neurons. Journal ofNeuroinflammation 11:185, 10.1186/s12974-014-0185-4, 2014.

Regev, N., Degani-Katzav, N., Korngreen, A., Etzioni, A., Siloni,S., Alaimo, A., Chikvashvili, D., Villarroel, A., Attali, B. andLotan, I.. Selective interaction of syntaxin 1A with KCNQ2:possible implications for specific modulation of presynapticactivity. PLoS ONE 4:e6586, 10.1371/journal.pone.0006586, 2009.

Reich, M. M., Steigerwald, F., Sawalhe, A. D., Reese, R., Gunalan,K., Johannes, S., Nickl, R., Matthies, C., McIntyre, C. C. andVolkmann, J.. Short pulse width widens the therapeutic window ofsubthalamic neurostimulation. Annals of Clinical andTranslational Neurology 2:427-432, 10.1002/acn3.168, 2015.

Reilly, J. P.. Survey of numerical electrostimulation models.Physics in Medicine and Biology 61:4346-4363,10.1088/0031-9155/61/12/4346, 2016.

Reimann, M. W., Anastassiou, C. A., Perin, R., Hill, S. L.,Markram, H. and Koch, C.. A biophysically detailed model ofneocortical local field potentials predicts the critical role ofactive membrane currents. Neuron 79:375-390, 2013.

Reimann, M. W., Nolte, M., Scolamiero, M., Turner, K., Perin, R.,Chindemi, G., Dłotko, P., Levi, R., Hess, K. and Markram, H..Cliques of neurons bound into cavities provide a missing linkbetween structure and function. Frontiers In ComputationalNeuroscience 11:48, 10.3389/fncom.2017.00048, 2017.

Reimer, I. C. G., Staude, B., Boucsein, C. and Rotter, S.. A newmethod to infer higher-order spike correlations from membranepotentials. Journal of Computational Neuroscience 35:169-186,10.1007/s10827-013-0446-8, 2013.

Remme, M. W. H., Bergmann, U., Alevi, D., Schreiber, S.,Sprekeler, H. and Kempter, R.. Hebbian plasticity in parallelsynaptic pathways: a circuit mechanism for systems memoryconsolidation. PLoS Computational Biology 17:e1009681,10.1371/journal.pcbi.1009681, 2021.

Remme, M. W. H., Lengyel, M. and Gutkin, B. S..Democracy-independence trade-off in oscillating dendrites and itsimplications for grid cells. Neuron 66:429-437,10.1016/j.neuron.2010.04.027, 2010.

Remme, M. W. H. and Rinzel, J.. Role of active dendriticconductances in subthreshold input integration. Journal ofComputational Neuroscience 31:13-30, 10.1007/s10827-010-0295-7,2011.

Rempe, M. J., Spruston, N., Kath, W. L. and Chopp, D. L..Compartmental neural simulations with spatial adaptivity. Journalof Computational Neuroscience 25:465-480,10.1007/s10827-008-0089-3, 2008.

Ren, H., Shi, Y.-J., Lu, Q.-C., Liang, P.-J. and Zhang, P.-M.. Therole of the entorhinal cortex in epileptiform activities of thehippocampus. Theoretical Biology and Medical Modelling 11:14,10.1186/1742-4682-11-14, 2014.

Reuveni, I., Friedman, A., Amitai, Y. and Gutnick, M. J.. Stepwiserepolarization from Ca2+ plateaus in neocortical pyramidal cells:evidence for nonhom*ogeneous distribution of HVA Ca2+ channels indendrites. Journal of Neuroscience 13:4609-4621, 1993.

Reuveni, I., Saar, D. and Barkai, E.. A novel whole-cell mechanismfor long-term memory enhancement. PLoS ONE 8:e68131,10.1371/journal.pone.0068131, 2013.

Rich, S., Moradi Chameh, H., Sekulic, V., Valiante, T. A. andSkinner, F. K.. Modeling reveals human-rodent differences inh-current kinetics influencing resonance in cortical layer 5neurons. Cerebral Cortex 31:845-872, 10.1093/cercor/bhaa261,2021.

Richardson, A. G., McIntyre, C. C. and Grill, W. M.. Modelling theeffects of electric fields on nerve fibres: influence of themyelin sheath. Medical and Biological Engineering and Computing38:438-446, 2000.

Richardson, M. J. E. and Silberberg, G.. Measurement and analysisof postsynaptic potentials using a novel voltage-deconvolutionmethod. Journal of Neurophysiology 99:1020-1031, 2008.

Richmond, P., Cope, A., Gurney, K. and Allerton, D. J.. From modelspecification to simulation of biologically constrained networksof spiking neurons. Neuroinformatics 12:307-323,10.1007/s12021-013-9208-z, 2014.

Rinker, J. A., Fulmer, D. B., Trantham-Davidson, H., Smith, M. L.,Williams, R. W., Lopez, M. F., Randall, P. K., Chandler, L. J.,Miles, M. F., Becker, H. C. and Mulholland, P. J.. Differentialpotassium channel gene regulation in BXD mice reveals noveltargets for pharmacogenetic therapies to reduce heavy alcoholdrinking. Alcohol 58:33-45, 10.1016/j.alcohol.2016.05.007, 2017.

Ritzau-Jost, A., Delvendahl, I., Rings, A., Byczkowicz, N.,Harada, H., Shigemoto, R., Hirrlinger, J., Eilers, J. andHallermann, S.. Ultrafast action potentials mediate kilohertzsignaling at a central synapse. Neuron 84:152-163,10.1016/j.neuron.2014.08.036, 2014.

Rivera, B., Campos, M., Orio, P., Madrid, R. and Pertusa, M..Negative modulation of TRPM8 channel function by protein kinase Cin trigeminal cold thermoreceptor neurons. International Journalof Molecular Sciences 2110.3390/ijms21124420, 2020.

Rivera, B., Moreno, C., Lavanderos, B., Hwang, J. Y.,Fernández-Trillo, J., Park, K.-S., Orio, P., Viana, F., Madrid, R.and Pertusa, M.. Constitutive phosphorylation as a key regulatorof TRPM8 channel function. Journal of Neuroscience 41:8475-8493,10.1523/JNEUROSCI.0345-21.2021, 2021.

Rizou, M. E. and Prodromakis, T.. Magnetic stimulation in themicroscale: the development of a 6 x 6 array of micro-coils forstimulation of excitable cells in vitro. Biomedical Physics &Engineering Express 4:025016, 10.1088/2057-1976/aaa0dd, 2018.

Rizza, M. F., Locatelli, F., Masoli, S., Sánchez-Ponce, D., Muñoz,A., Prestori, F. and D’Angelo, E.. Stellate cell computationalmodeling predicts signal filtering in the molecular layer circuitof cerebellum. Scientific Reports 11:3873,10.1038/s41598-021-83209-w, 2021.

Roberts, A., Conte, D., Hull, M., Merrison-Hort, R., Al Azad, A.K., Buhl, E., Borisyuk, R. and Soffe, S. R.. Can simple rulescontrol development of a pioneer vertebrate neuronal networkgenerating behavior?. Journal of Neuroscience 34:608-621,10.1523/JNEUROSCI.3248-13.2014, 2014.

Roberts, P. D.. Modeling inhibitory plasticity in theelectrosensory system of Mormyrid electric fish. Journal ofNeurophysiology 84:2035-2047, 2000.

Roberts, P. D. and Leen, T. K.. Anti-Hebbianspike-timing-dependent plasticity and adaptive sensory processing.Frontiers in Computational Neuroscience 4:156,10.3389/fncom.2010.00156, 2010.

Roberts, P. D., Spiros, A. and Geerts, H.. Simulations ofsymptomatic treatments for Alzheimer’s disease: computationalanalysis of pathology and mechanisms of drug action. AlzheimersResearch & Therapy 4:50, 10.1186/alzrt153, 2012.

Rogala, J., Waleszczyk, W. J., Lęski, S., Wróbel, A. and Wójcik,D. K.. Reciprocal inhibition and slow calcium decay inperigeniculate interneurons explain changes of spontaneous firingof thalamic cells caused by cortical inactivation. Journal ofComputational Neuroscience 34:461-476, 10.1007/s10827-012-0430-8,2013.

Rogers, E. R., Zander, H. J. and Lempka, S. F.. Influence ofmorphology and waveform parameters on the neural response tospinal cord stimulation [Online]. Proc. 10th Int. IEEE/EMBS Conf.Neural Engineering :259-262, 10.1109/NER49283.2021.9441267,2021a.

Rogers, E. R., Zander, H. J. and Lempka, S. F.. Neural recruitmentduring conventional, burst, and 10-kHz spinal cord stimulation forpain. The Journal of Pain 10.1016/j.jpain.2021.09.005, 2021b.

Rojas, P., Akrouh, A., Eisenman, L. N. and Mennerick, S..Differential effects of axon initial segment and somatodendriticGABA(A) receptors on excitability measures in rat dentate granuleneurons. Journal of Neurophysiology 105:366-379,10.1152/jn.00165.2010, 2011.

Romanenko, S., Harvey, A. R., Hool, L., Fan, S. and Wallace, V.P.. Millimeter wave radiation activates leech nociceptors viaTRPV1-like receptor sensitization. Biophysical Journal116:2331-2345, 10.1016/j.bpj.2019.04.021, 2019.

Romani, A., Marchetti, C., Bianchi, D., Leinekugel, X., Poirazi,P., Migliore, M. and Marie, H.. Computational modeling of theeffects of amyloid-beta on release probability at hippocampalsynapses. Frontiers in Computational Neuroscience 7:1,10.3389/fncom.2013.00001, 2013.

Romano, M. R., Moioli, R. C. and Elias, L. A.. Evaluation offrequency-dependent effects of deep brain stimulation in acortex-basal ganglia-thalamus network model of Parkinson’s disease[Online]. Proc. 42nd Annual Int. Conf. of the IEEE Engineering inMedicine Biology Society :3638-3641,10.1109/EMBC44109.2020.9176570, 2020.

Romaro, C., Najman, F. A., Lytton, W. W., Roque, A. C. andDura-Bernal, S.. NetPyNE implementation and scaling of thePotjans-Diesmann cortical microcircuit model.. NeuralComputation 33:1993-2032, 10.1162/neco_a_01400, 2021.

Romeni, S., Valle, G., Mazzoni, A. and Micera, S.. Tutorial: acomputational framework for the design and optimization ofperipheral neural interfaces. Nature Protocols 15:3129-3153,10.1038/s41596-020-0377-6, 2020.

Ross, M. D., Chimento, T., Doshay, D. and Cheng, R..Computer-assisted 3-dimensional reconstruction and simulations ofvestibular macular neural connectivities. Annals of the New YorkAcademy of Sciences 656:75-91, 1992.

Rössert, C., Moore, L. E., Straka, H. and Glasauer, S.. Cellularand network contributions to vestibular signal processing: impactof ion conductances, synaptic inhibition, and noise. Journal ofNeuroscience 31:8359-8372, 10.1523/JNEUROSCI.6161-10.2011, 2011.

Rössert, C., Pozzorini, C., Chindemi, G., Davison, A. P., Eroe,C., King, J., Newton, T. H., Nolte, M., Ramaswamy, S., Reimann, M.W., Wybo, W., Gewaltig, M.-O., Gerstner, W., Markram, H., Segev,I. and Muller, E.. Automated point-neuron simplification ofdata-driven microcircuit models. arXiv pdf:1604.00087v2, 2016.

Rössert, C., Solinas, S., D’Angelo, E., Dean, P. and Porrill, J..Model cerebellar granule cells can faithfully transmit modulatedfiring rate signals.. Frontiers in Cellular Neuroscience 8:304,10.3389/fncel.2014.00304, 2014.

Roth, A. and Häusser, M.. Compartmental models of rat cerebellarPurkinje cells based on simultaneous somatic and dendriticpatch-clamp recordings. Journal of Physiology 535:445-472, 2001.

Rothman, J. S., Cathala, L., Steuber, V. and Silver, R. A..Synaptic depression enables neuronal gain control. Nature457:1015-1018, 2009.

Routh, B. N., Johnston, D., Harris, K. and Chitwood, R. A..Anatomical and electrophysiological comparison of CA1 pyramidalneurons of the rat and mouse.. Journal of Neurophysiology102:2288-2302, 10.1152/jn.00082.2009, 2009.

Routh, B. N., Rathour, R. K., Baumgardner, M. E., Kalmbach, B. E.,Johnston, D. and Brager, D. H.. Increased transient Na+conductance and action potential output in layer 2/3 prefrontalcortex neurons of the fmr1(-/y) mouse. Journal of Physiology595:4431-4448, 10.1113/JP274258, 2017.

Rowan, M. and Neymotin, S.. Synaptic scaling balances learning ina spiking model of neocortex. In: Adaptive and Natural ComputingAlgorithms, edited by Tomassini, M., Antonioni, A., Daolio, F.and Buesser, P.. Springer Berlin Heidelberg, 2013, pp. 20-29.

Rowan, M. J. M., DelCanto, G., Yu, J. J., Kamasawa, N. andChristie, J. M.. Synapse-level determination of action potentialduration by K(+) channel clustering in axons. Neuron 91:370-383,10.1016/j.neuron.2016.05.035, 2016.

Rowan, M. S., Neymotin, S. A. and Lytton, W. W..Electrostimulation to reduce synaptic scaling driven progressionof Alzheimer’s disease. Frontiers in Computational Neuroscience8:39, 10.3389/fncom.2014.00039, 2014.

Roy, A. and Narayanan, R.. Spatial information transfer inhippocampal place cells depends on trial-to-trial variability,symmetry of place-field firing, and biophysical heterogeneities.Neural Networks 142:636-660, 10.1016/j.neunet.2021.07.026, 2021.

Royeck, M., Horstmann, M.-T., Remy, S., Reitze, M., Yaari, Y. andBeck, H.. Role of axonal NaV1.6 sodium channels in actionpotential initiation of CA1 pyramidal neurons. Journal ofNeurophysiology 100:2361-2380, 2008.

Royer, A. S. and Miller, R. F.. Dendritic impulse collisions andshifting sites of action potential initiation contract and extendthe receptive field of an amacrine cell. Visual Neuroscience24:619-634, 2007.

Rubin, D. B. and Cleland, T. A.. Dynamical mechanisms of odorprocessing in olfactory bulb mitral cells. Journal ofNeurophysiology 96:555-568, 2006.

Rudnicki, M. and Hemmert, W.. High entrainment constrains synapticdepression levels of an in vivo globular bushy cell model.Frontiers in Computational Neuroscience 11:16,10.3389/fncom.2017.00016, 2017.

Rudolph, M. and Destexhe, A.. Correlation detection and resonancein neural systems with distributed noise sources. Physical ReviewLetters 86:3662-3665, 2001a.

Rudolph, M. and Destexhe, A.. Do neocortical pyramidal neuronsdisplay stochastic resonance?. Journal of ComputationalNeuroscience 11:19-42, 2001b.

Rudolph, M. and Destexhe, A.. Novel dynamics of dendriticintegration in the high conductance state of cortical neurons.Neurocomputing 44-46:141-146, 2002a.

Rudolph, M. and Destexhe, A.. Point-conductance models of corticalneurons with high discharge variability. Neurocomputing44-46:147-152, 2002b.

Rudolph, M. and Destexhe, A.. A fast-conducting, stochasticintegrative mode for neocortical neurons in vivo. Journal ofNeuroscience 23:2466-2476, 2003a.

Rudolph, M. and Destexhe, A.. Characterization of subthresholdvoltage fluctuations in neuronal membranes. Neural Computation15:2577-2618, 2003b.

Rudolph, M. and Destexhe, A.. The discharge variability ofneocortical neurons during high-conductance states. Neuroscience119:855-873, 2003c.

Rudolph, M. and Destexhe, A.. Tuning neocortical pyramidal neuronsbetween integrators and coincidence detectors. Journal ofComputational Neuroscience 14:239-251, 2003d.

Rudolph, M. and Destexhe, A.. Inferring network activity fromsynaptic noise. Journal of Physiology, Paris 98:452-466, 2004.

Rudolph, M. and Destexhe, A.. An extended analytic expression forthe membrane potential distribution of conductance-based synapticnoise. Neural Computation 17:2301-2315, 2005a.

Rudolph, M. and Destexhe, A.. Multi-channel shot noise andcharacterization of cortical network activity. Neurocomputing65:641-646, 2005b.

Rudolph, M. and Destexhe, A.. Analytical integrate-and-fire neuronmodels with conductance-based dynamics for event-driven simulationstrategies. Neural Computation 18:2146-2210, 2006a.

Rudolph, M. and Destexhe, A.. Event-based simulation strategy forconductance-based synaptic interactions and plasticity.Neurocomputing 69:1130-1133, 2006b.

Rudolph, M. and Destexhe, A.. On the use of analytical expressionsfor the voltage distribution to analyze intracellular recordings.Neural Computation 18:2917-2922, 2006c.

Rudolph, M. and Destexhe, A.. How much can we trust neuralsimulation strategies?. Neurocomputing 70:1966-1969, 2007.

Rudolph, M., Hô, N. and Destexhe, A.. Synaptic background activityaffects the dynamics of dendritic integration in model neocorticalpyramidal neurons. Neurocomputing 38-40:327-333, 2001.

Rudolph, M., Pelletier, J. G., Pare, D. and Destexhe, A..Estimation of synaptic conductances and their variances fromintracellular recordings of neocortical neurons in vivo.Neurocomputing 58-60:387-392, 2004a.

Rudolph, M., Pelletier, J. G., Paré, D. and Destexhe, A..Characterization of synaptic conductances and integrativeproperties during electrically induced EEG-activated states inneocortical neurons in vivo. Journal of Neurophysiology94:2805-2821, 2005.

Rudolph, M., Piwkowska, Z., Badoual, M., Bal, T. and Destexhe, A..A method to estimate synaptic conductances from membrane potentialfluctuations. Journal of Neurophysiology 91:2884-2896, 2004b.

Rudolph, M., Pospischil, M., Timofeev, I. and Destexhe, A..Inhibition determines membrane potential dynamics and controlsaction potential generation in awake and sleeping cat cortex.Journal of Neuroscience 27:5280-5290, 2007.

Rudolph-Lilith, M., Dubois, M. and Destexhe, A.. Analyticalintegrate-and-fire neuron models with conductance-based dynamicsand realistic postsynaptic potential time course for event-drivensimulation strategies. Neural Computation 24:1426-1461,10.1162/NECO_a_00278, 2012.

Ruff, C. A., Ye, H., Legasto, J. M., Stribbell, N. A., Wang, J.,Zhang, L. and Fehlings, M. G.. Effects of adult neuralprecursor-derived myelination on axonal function in the perinatalcongenitally dysmyelinated brain: optimizing time of intervention,developing accurate prediction models, and enhancing performance.Journal of Neuroscience 33:11899-11915,10.1523/JNEUROSCI.1131-13.2013, 2013.

Rumbell, T. and Kozloski, J.. Dimensions of control forsubthreshold oscillations and spontaneous firing in dopamineneurons. PLoS Computational Biology 15:e1007375,10.1371/journal.pcbi.1007375, 2019.

Rumbell, T. H., Draguljić, D., Yadav, A., Hof, P. R., Luebke, J.I. and Weaver, C. M.. Automated evolutionary optimization of ionchannel conductances and kinetics in models of young and agedrhesus monkey pyramidal neurons. Journal of ComputationalNeuroscience 41:65-90, 10.1007/s10827-016-0605-9, 2016.

Rumsey, C. C. and Abbott, L. F.. Equalization of synaptic efficacyby activity- and timing-dependent synaptic plasticity. Journal ofNeurophysiology 91:2273-2280, 2004a.

Rumsey, C. C. and Abbott, L. F.. Synaptic equalization byanti-STDP. Neurocomputing 58-60:359-364, 2004b.

Rumsey, C. C. and Abbott, L. F.. Synaptic democracy in activedendrites. Journal of Neurophysiology 96:2307-2318, 2006.

Rusakov, D. A., Savtchenko, L. P. and Latham, P. E.. Noisysynaptic conductance: bug or a feature?. Trends in Neurosciences2020.

Rusakov, D. A., Richter-Levin, G., Stewart, M. G. and Bliss, T. V.P.. Reduction in spine density associated with long-termpotentiation in the dentate gyrus suggests a spinefusion-and-branching model of potentiation. Hippocampus7:489-500, 1997a.

Rusakov, D. A., Stewart, M. G. and Korogod, S. M.. Branching ofactive dendritic spines as a mechanism for controlling synapticefficacy. Neuroscience 75:315-323, 1996.

Rusakov, D. A., Stewart, M. G. and Korogod, S. M.. Subtlere-location of dendritic spine branches containing membrane withfast spiking mechanisms can alter synaptic efficacy.Neurophysiology 29:22-27, 1997b.

Rusu, C. V., Murakami, M., Ziemann, U. and Triesch, J.. A model ofTMS-induced I-waves in motor cortex. Brain Stimulation7:401-414, 10.1016/j.brs.2014.02.009, 2014.

Ruz, I. D. and Schultz, S. R.. Localising and classifying neuronsfrom high density MEA recordings. Journal of NeuroscienceMethods 233:115 - 128,http://dx.doi.org/10.1016/j.jneumeth.2014.05.037, 2014.

Ryglewski, S. and Duch, C.. Shaker and Shal mediate transientcalcium-independent potassium current in a Drosophila flightmotoneuron. Journal of Neurophysiology 102:3673-3688,10.1152/jn.00693.2009, 2009.

Rzhepetskyy, Y., Lazniewska, J., Blesneac, I., Pamphlett, R. andWeiss, N.. CACNA1H missense mutations associated with amyotrophiclateral sclerosis alter Ca(v)3.2 T-type calcium channel activityand reticular thalamic neuron firing. Channels 10:466-477,10.1080/19336950.2016.1204497, 2016.

Sadashivaiah, V., Sacre, P., Guan, Y., Anderson, W. S. and Sarma,S. V.. Modeling electrical stimulation of mammalian nerve fibers:a mechanistic versus probabilistic approach. IEEE Engineering inMedicine and Biology Society. Annual Conference 2017:3868-3871,10.1109/EMBC.2017.8037701, 2017.

Sadashivaiah, V., Sacre, P., Guan, Y., Anderson, W. S. and Sarma,S. V.. Studying the interactions in a mammalian nerve fiber: afunctional modeling approach. IEEE Engineering in Medicine andBiology Society. Annual Conference 2018:3525-3528,10.1109/EMBC.2018.8512975, 2018a.

Sadashivaiah, V., Sacré, P., Guan, Y., Anderson, W. S. and Sarma,S. V.. Modeling the interactions between stimulation andphysiologically induced APs in a mammalian nerve fiber: dependenceon frequency and fiber diameter. Journal of ComputationalNeuroscience 45:193-206, 10.1007/s10827-018-0703-y, 2018b.

Sadleir, R. J., Grant, S. C. and Woo, E. J.. Can high-field MREITbe used to directly detect neural activity? Theoreticalconsiderations. Neuroimage 52:205-216,10.1016/j.neuroimage.2010.04.005, 2010.

Sadoc, G., Le Masson, G., Foutry, B., Le Franc, Y., Piwkowska, Z.,Destexhe, A. and Bal, T.. Re-creating in vivo-like activity andinvestigating the signal transfer capabilities of neurons:dynamic-clamp applications using Real-time NEURON. In:Dynamic-Clamp: From Principles to Applications, edited byDestexhe, A. and Bal, T.. Springer, 2009, pp. 287-320.

Safaryan, K., Maex, R., Davey, N., Adams, R. and Steuber, V..Nonspecific synaptic plasticity improves the recognition of sparsepatterns degraded by local noise. Scientific Reports 7:46550,10.1038/srep46550, 2017.

Safiulina, V. F., Caiati, M. D., Sivakumaran, S., Bisson, G.,Migliore, M. and Cherubini, E.. Control of GABA release at mossyfiber-CA3 connections in the developing hippocampus. Frontiers inSynaptic Neuroscience 2:1, 10.3389/neuro.19.001.2010, 2010.

Safronov, B. V., Wolff, M. and Vogel, W.. Excitability of the somain central nervous system neurons. Biophysical Journal78:2998-3010, 2000.

Saftenku, E. E.. Modeling of slow glutamate diffusion and AMPAreceptor activation in the cerebellar glomerulus. Journal ofTheoretical Biology 234:363-82, 2005.

Saftenku, E. E.. Computational study of non-hom*ogeneousdistribution of Ca2+ handling systems in cerebellar granule cells.Journal of Theoretical Biology 257:228-244, 2009.

Saghatelyan, A., Roux, P., Migliore, M., Rochefort, C.,Desmaisons, D., Charneau, P., Shepherd, G. M. and Lledo, P. M..Activity-dependent adjustments of the inhibitory network in theolfactory bulb following early postnatal deprivation. Neuron46:103-116, 2005.

Sah, P. and Bekkers, J. M.. Apical dendritic location of slowafterhyperpolarization current in hippocampal pyramidal neurons:implications for the integration of long-term potentiation.Journal of Neuroscience 16:4537-4542, 1996.

Saha, R., Faramarzi, S., Bloom, R. P., Benally, O. J., Wu, K., diGirolamo, A., Tonini, D., Keirstead, S. A., Low, W. C., Netoff, T.I. and Wang, J.-P.. Strength-frequency curve for micromagneticneurostimulation through excitatory postsynaptic potentials(EPSPs) on rat hippocampal neurons and numerical modeling ofmagnetic microcoil (μ coil).. Journal of Neural Engineering1910.1088/1741-2552/ac4baf, 2022.

Sahin, M. and Durand, D. M.. Improved nerve cuff electroderecordings with subthreshold anodic currents. IEEE Transactionson Biomedical Engineering 45:1044-1050, 1998.

Sailamul, P., Jang, J. and Paik, S.-B.. Synaptic convergenceregulates synchronization-dependent spike transfer in feedforwardneural networks. Journal of Computational Neuroscience43:189-202, 10.1007/s10827-017-0657-5, 2017.

Saiz-Alia, M. and Reichenbach, T.. Computational modeling of theauditory brainstem response to continuous speech. Journal ofNeural Engineering 10.1088/1741-2552/ab970d, 2020.

Sajedi, S., Fellner, A., Werginz, P. and Rattay, F.. Blockphenomena during electric micro-stimulation of pyramidal cells andretinal ganglion cells. Frontiers in Cellular Neuroscience15:771600, 10.3389/fncel.2021.771600, 2021.

Sakurai, A., Calin-Jageman, R. J. and Katz, P. S.. Potentiationphase of spike timing-dependent neuromodulation by a serotonergicinterneuron involves an increase in the fraction of transmitterrelease. Journal of Neurophysiology 98:1975-1987, 2007.

Sakurai, A., Darghouth, N. R., Butera, R. J. and Katz, P. S..Serotonergic enhancement of a 4-AP-sensitive current mediates thesynaptic depression phase of spike timing-dependentneuromodulation. Journal of Neuroscience 26:2010-2021, 2006.

Salkim, E., Shiraz, A. and Demosthenous, A.. Impact ofneuroanatomical variations and electrode orientation on stimuluscurrent in a device for migraine: a computational study. Journalof Neural Engineering 17:016006, 10.1088/1741-2552/ab3d94, 2019a.

Salkim, E., Shiraz, A. and Demosthenous, A.. Influence of cellularstructures of skin on fiber activation thresholds and computationcost. Biomedical Physics & Engineering Express5{10.1088/2057-1976/aaeaad}, 2019b.

Salkim, E., Shiraz, A. N. and Demosthenous, A.. Effect of nervevariations on the stimulus current level in a wearableneuromodulator for migraine: a modeling study [Online]. 2017 8thInternational IEEE/EMBS Conference on Neural Engineering8:239-242, 2017.

Salvador, R., Silva, S., Basser, P. J. and Miranda, P. C..Determining which mechanisms lead to activation in the motorcortex: A modeling study of transcranial magnetic stimulationusing realistic stimulus waveforms and sulcal geometry. ClinicalNeurophysiology 122:748-758, 10.1016/j.clinph.2010.09.022, 2011.

Samoudi, A. M., Kampusch, S., Tanghe, E., Széles, J. C., Martens,L., Kaniusas, E. and Joseph, W.. Numerical modeling ofpercutaneous auricular vagus nerve stimulation: a realistic 3Dmodel to evaluate sensitivity of neural activation to electrodeposition. Medical & Biological Engineering & Computing55:1763-1772, 10.1007/s11517-017-1629-7, 2017.

de San Martin, J. Z., Jalil, A. and Trigo, F. F.. Impact ofsingle-site axonal GABAergic synaptic events on cerebellarinterneuron activity. Journal of General Physiology 146:477-493,10.1085/jgp.201511506, 2015.

Sánchez, E., Barro, S., Mariño, J. and Canedo, A.. A computationalmodel of cuneothalamic projection neurons. Network 14:211-231,2003a.

Sánchez, E., Barro, S., Mariño, J. and Canedo, A.. Sleep andwakefulness in the cuneate nucleus: a computational study. In:Computational Methods in Neural Modeling, edited by Mira, J. andÁlvarez, J.. Springer Berlin Heidelberg, 2003b, pp. 70-77.

Sánchez, E., Barro, S., Mariño, J. and Canedo, A.. Corticalmodulation of dorsal column nuclei: a computational study.Journal of Computational Neuroscience 21:21-33, 2006.

Sanchez, G., Rodriguez, M. J., Pomata, P., Rela, L. and Murer, M.G.. Reduction of an afterhyperpolarization current increasesexcitability in striatal cholinergic interneurons in ratparkinsonism. Journal of Neuroscience 31:6553-6564,10.1523/JNEUROSCI.6345-10.2011, 2011.

Sanchez, R. M., Surkis, A. and Leonard, C. S.. Voltage-clampanalysis and computer simulation of a novel cesium-resistantA-current in guinea pig laterodorsal tegmental neurons. Journalof Neurophysiology 79:3111-3126, 1998.

Sandstrom, D. J.. Isoflurane reduces excitability of Drosophilalarval motoneurons by activating a hyperpolarizing leakconductance. Anesthesiology 108:434-446, 2008.

Sangrey, T. D., Friesen, W. O. and Levy, W. B.. Analysis of theoptimal channel density of the squid giant axon using areparameterized Hodgkin-Huxley model. Journal of Neurophysiology91:2541-2550, 2004.

Sangrey, T. and Levy, W. B.. Conduction velocity costs energy.Neurocomputing 65:907-913, 2005.

Sanjay, M., Neymotin, S. A. and Krothapalli, S. B.. Impaireddendritic inhibition leads to epileptic activity in a computermodel of CA3. Hippocampus 25:1336-1350, 10.1002/hipo.22440,2015.

Santaniello, S., Fiengo, G., Glielmo, L. and Grill, W. M..Closed-loop control of deep brain stimulation: a simulation study.IEEE Transactions on Neural Systems and RehabilitationEngineering 19:15-24, 10.1109/TNSRE.2010.2081377, 2011.

Santhakumar, V.. Modeling circuit alterations in epilepsy: a focuson mossy cell loss and mossy fiber sprouting in the dentate gyrus.In: Computational Neuroscience in Epilepsy, edited by Soltesz,I. and Staley, K.. Elsevier, 2008, pp. 89-111.

Santhakumar, V., Aradi, I. and Soltesz, I.. Role of mossy fibersprouting and mossy cell loss in hyperexcitability: a networkmodel of the dentate gyrus incorporating cell types and axonaltopography. Journal of Neurophysiology 93:437-453, 2005.

Santos, J. P. G., Pajo, K., Trpevski, D., Stepaniuk, A., Eriksson,O., Nair, A. G., Keller, D., Hellgren Kotaleski, J. and Kramer,A.. A modular workflow for model building, analysis, and parameterestimation in systems biology and neuroscience. Neuroinformatics10.1007/s12021-021-09546-3, 2021.

Santos, S. F. A., Luz, L. L., Szucs, P., Lima, D., Derkach, V. A.and Safronov, B. V.. Transmission efficacy and plasticity inglutamatergic synapses formed by excitatory interneurons of thesubstantia gelatinosa in the rat spinal cord. PLoS ONE 4:e8047,10.1371/journal.pone.0008047, 2009.

Saraga, F., Balena, T., Wolansky, T., Dickson, C. T. and Woodin,M. A.. Inhibitory synaptic plasticity regulates pyramidal neuronspiking in the rodent hippocampus. Neuroscience 155:64-75, 2008.

Saraga, F., Ng, L. and Skinner, F. K.. Distal gap junctions andactive dendrites can tune network dynamics. Journal ofNeurophysiology 95:1669-1682, 2006a.

Saraga, F. and Skinner, F. K.. Dynamics and diversity ininterneurons: a model exploration with slowly inactivatingpotassium currents. Neuroscience 113:193-203, 2002a.

Saraga, F. and Skinner, F. K.. Slowly-inactivating potassiumconductances in compartmental interneuron models. Neurocomputing44:161-166, 2002b.

Saraga, F. and Skinner, F. K.. Spike initiation in a hippocampalinterneuron model. Neurocomputing 52-54:185-189, 2003.

Saraga, F. and Skinner, F. K.. Location, location, location (anddensity) of gap junctions in multi-compartment models.Neurocomputing 58-60:713-719, 2004.

Saraga, F., Wu, C. P., Zhang, L. and Skinner, F. K.. Activedendrites and spike propagation in multi-compartment models oforiens-lacunosum/moleculare hippocampal interneurons. Journal ofPhysiology 552:673-689, 2003.

Saraga, F., Zhang, X. L., Zhang, L., Carlen, P. L. and Skinner, F.K.. Exploring gap junction location and density in electricallycoupled hippocampal oriens interneurons. Neurocomputing69:1048-1052, 2006b.

Saravanan, V., Arabali, D., Jochems, A., Cui, A.-X.,Gootjes-Dreesbach, L., Cutsuridis, V. and Yoshida, M.. Transitionbetween encoding and consolidation/replay dynamics via cholinergicmodulation of CAN current: a modeling study. Hippocampus25:1052-1070, 10.1002/hipo.22429, 2015.

Sáray, S., Rössert, C. A., Appukuttan, S., Migliore, R., Vitale,P., Lupascu, C. A., Bologna, L. L., Van Geit, W., Romani, A.,Davison, A. P., Muller, E., Freund, T. F. and Káli, S.. HippoUnit:a software tool for the automated testing and systematiccomparison of detailed models of hippocampal neurons based onelectrophysiological data. PLoS Computational Biology17:e1008114, 10.1371/journal.pcbi.1008114, 2021.

Sarid, L., Bruno, R., Sakmann, B., Segev, I. and Feldmeyer, D..Modeling a layer 4-to-layer 2/3 module of a single-column in ratneocortex: interweaving in vitro and in vivo experimentalobservations. Proceedings of the National Academy of Sciences ofthe United States of America 104:16353-16358, 2007.

Sarid, L., Feldmeyer, D., Gidon, A., Sakmann, B. and Segev, I..Contribution of intracolumnar layer 2/3-to-layer 2/3 excitatoryconnections in shaping the response to whisker deflection in ratbarrel cortex. Cerebral Cortex 25:849-858,10.1093/cercor/bht268, 2015.

Sarma, G. P., Lee, C. W., Portegys, T., Ghayoomie, V., Jacobs, T.,Alicea, B., Cantarelli, M., Currie, M., Gerkin, R. C., Gingell,S., Gleeson, P., Gordon, R., Hasani, R. M., Idili, G., Khayrulin,S., Lung, D., Palyanov, A., Watts, M. and Larson, S. D.. OpenWorm:overview and recent advances in integrative biological simulationof Caenorhabditis elegans. Philosophical Transactions of theRoyal Society B, Biological Sciences 37310.1098/rstb.2017.0382,2018.

Saudargiene, A., Cobb, S. and Graham, B. P.. A computational studyon plasticity during theta cycles at Schaffer collateral synapseson CA1 pyramidal cells in the hippocampus. Hippocampus25:208-218, 10.1002/hipo.22365, 2015.

Saudargienė, A. and Graham, B. P.. Inhibitory control ofsite-specific synaptic plasticity in a model CA1 pyramidal neuron.Biosystems 130:37-50, 10.1016/j.biosystems.2015.03.001, 2015.

Saudargiene, A., Jackevicius, R. and Graham, B. P.. Interplay ofSTDP and dendritic plasticity in a hippocampal CA1 pyramidalneuron model. In: Artificial Neural Networks and Machine LearningICANN 2017. Springer International Publishing, 2017, pp. 381-388.

Savtchenko, L. P., Gogan, P. and Tyc-Dumont, S.. Dendritic spatialflicker of local membrane potential due to channel noise andprobabilistic firing of hippocampal neurons in culture.Neuroscience Research 41:161-183, 2001.

Savtchenko, L. P., Bard, L., Jensen, T. P., Reynolds, J. P.,Kraev, I., Medvedev, N., Stewart, M. G., Henneberger, C. andRusakov, D. A.. Disentangling astroglial physiology with arealistic cell model in silico. Nature Communications 9:3554,10.1038/s41467-018-05896-w, 2018.

Savtchenko, L. P. and Rusakov, D. A.. Regulation of rhythm genesisby volume-limited, astroglia-like signals in neural networks.Philosophical Transactions of the Royal Society B: BiologicalSciences 369:20130614, 10.1098/rstb.2013.0614, 2014.

Savtchenko, L. P., Sylantyev, S. and Rusakov, D. A.. Centralsynapses release a resource-efficient amount of glutamate. NatureNeuroscience 16:10-12, 10.1038/nn.3285, 2013.

Schaefer, A. T., Helmstaedter, M., Sakmann, B. and Korngreen, A..Correction of conductance measurements in non-space-clampedstructures: 1. Voltage-gated K+ channels. Biophysical Journal84:3508-3528, 2003a.

Schaefer, A. T., Helmstaedter, M., Schmitt, A. C., Bar-Yehuda, D.,Almog, M., Ben-Porat, H., Sakmann, B. and Korngreen, A.. Dendriticvoltage-gated K+ conductance gradient in pyramidal neurones ofneocortical layer 5B from rats. Journal of Physiology579:737-752, 2007.

Schaefer, A. T., Larkum, M. E., Sakmann, B. and Roth, A..Coincidence detection in pyramidal neurons is tuned by theirdendritic branching pattern. Journal of Neurophysiology89:3143-3154, 2003b.

Schaworonkow, N. and Triesch, J.. Ongoing brain rhythms shapeI-wave properties in a computational model. Brain Stimulation11:828-838, 10.1016/j.brs.2018.03.010, 2018.

Scheuer, T., dem Brinke, E. A., Grosser, S., Wolf, S. A., Mattei,D., Sharkovska, Y., Barthel, P. C., Endesfelder, S., Friedrich,V., Bührer, C., Vida, I. and Schmitz, T.. Reduction of corticalparvalbumin-expressing GABAergic interneurons in a rodenthyperoxia model of preterm birth brain injury with deficits insocial behavior and cognition. Development14810.1242/dev.198390, 2021.

Schierwagen, A., Alpár, A. and Gärtner, U.. Scaling properties ofpyramidal neurons in mice neocortex. Mathematical Biosciences207:352-364, 2007.

Schierwagen, A. and Claus, C.. Dendritic morphology and signaldelay in superior colliculus neurons. Neurocomputing38-40:343-350, 2001.

Schiller, J., Major, G., Koester, H. J. and Schiller, Y.. NMDAspikes in basal dendrites of cortical pyramidal neurons. Nature404:285-289, 2000.

Schindler, K. A., Bernasconi, C. A., Stoop, R., Goodman, P. H. andDouglas, R. J.. Chaotic spike patterns evoked by periodicinhibition of rat cortical neurons. Zeitschrift fürNaturforschung A 52:509-512, 1997.

Schmidt, C., Dunn, E., Lowery, M. and van Rienen, U.. Uncertaintyquantification of oscillation suppression during DBS in a coupledfinite element and network model. IEEE Transactions on NeuralSystems and Rehabilitation Engineering 26:281-290,10.1109/TNSRE.2016.2608925, 2018.

Schmidt, C., Grant, P., Lowery, M. and van Rienen, U.. Influenceof uncertainties in the material properties of brain tissue on theprobabilistic volume of tissue activated. IEEE Transactions onBiomedical Engineering 60:1378-1387, 10.1109/TBME.2012.2235835,2013.

Schmidt, C. and van Rienen, U.. Adaptive estimation of the neuralactivation extent in computational volume conductor models of deepbrain stimulation. IEEE Transactions on Bio-Medical Engineering65:1828-1839, 10.1109/TBME.2017.2758324, 2018.

Schmidt, S. L., Brocker, D. T., Swan, B. D., Turner, D. A. andGrill, W. M.. Evoked potentials reveal neural circuits engaged byhuman deep brain stimulation. Brain Stimulation 13:1706-1718,10.1016/j.brs.2020.09.028, 2020.

Schmidt-Hieber, C. and Bischofberger, J.. Fast sodium channelgating supports localized and efficient axonal action potentialinitiation. Journal of Neuroscience 30:10233-10242,10.1523/JNEUROSCI.6335-09.2010, 2010.

Schmidt-Hieber, C. and Häusser, M.. Cellular mechanisms of spatialnavigation in the medial entorhinal cortex. Nature Neuroscience16:325-331, 10.1038/nn.3340, 2013.

Schmidt-Hieber, C., Jonas, P. and Bischofberger, J.. Subthresholddendritic signal processing and coincidence detection in dentategyrus granule cells. Journal of Neuroscience 27:8430-8441, 2007.

Schmidt-Hieber, C., Jonas, P. and Bischofberger, J.. Actionpotential initiation and propagation in hippocampal mossy fibreaxons.. Journal of Physiology 586:1849-1857,10.1113/jphysiol.2007.150151, 2008.

Schmidt-Hieber, C., Toleikyte, G., Aitchison, L., Roth, A., Clark,B. A., Branco, T. and Häusser, M.. Active dendritic integration asa mechanism for robust and precise grid cell firing. NatureNeuroscience 20:1114-1121, 10.1038/nn.4582, 2017.

Schneider, A. C., Fox, D., Itani, O., Golowasch, J., Bucher, D.and Nadim, F.. Frequency-dependent action of neuromodulation.eNeuro 810.1523/ENEURO.0338-21.2021, 2021.

Schneider, C. J., Bezaire, M. and Soltesz, I.. Toward a full-scalecomputational model of the rat dentate gyrus. Frontiers In NeuralCircuits 6:83, 10.3389/fncir.2012.00083, 2012.

Schneider-Mizell, C. M., Bodor, A. L., Collman, F., Brittain, D.,Bleckert, A., Dorkenwald, S., Turner, N. L., Macrina, T., Lee, K.,Lu, R., Wu, J., Zhuang, J., Nandi, A., Hu, B., Buchanan, J.,Takeno, M. M., Torres, R., Mahalingam, G., Bumbarger, D. J., Li,Y., Chartrand, T., Kemnitz, N., Silversmith, W. M., Ih, D., Zung,J., Zlateski, A., Tartavull, I., Popovych, S., Wong, W., Castro,M., Jordan, C. S., Froudarakis, E., Becker, L., Suckow, S.,Reimer, J., Tolias, A. S., Anastassiou, C. A., Seung, H. S., Reid,R. C. and Costa, N. M. d.. Structure and function of axo-axonicinhibition. eLife 1010.7554/eLife.73783, 2021.

Schofield, C. M. and Huguenard, J. R.. GABA affinity shapes IPSCsin thalamic nuclei. Journal of Neuroscience 27:7954-7962, 2007.

Schomburg, E. W., Anastassiou, C. A., Buzsáki, G. and Koch, C..The spiking component of oscillatory extracellular potentials inthe rat hippocampus. Journal of Neuroscience 32:11798-11811,10.1523/JNEUROSCI.0656-12.2012, 2012.

Schoppa, N. E. and Westbrook, G. L.. AMPA autoreceptors drivecorrelated spiking in olfactory bulb glomeruli. NatureNeuroscience 5:1194-1202, 2002.

Schreglmann, S. R., Wang, D., Peach, R. L., Li, J., Zhang, X.,Latorre, A., Rhodes, E., Panella, E., Cassara, A. M., Boyden, E.S., Barahona, M., Santaniello, S., Rothwell, J., Bhatia, K. P. andGrossman, N.. Non-invasive suppression of essential tremor viaphase-locked disruption of its temporal coherence. NatureCommunications 12:363, 10.1038/s41467-020-20581-7, 2021.

Schreiber, S., Erchova, I., Heinemann, U. and Herz, A. V. M..Subthreshold resonance explains the frequency-dependentintegration of periodic as well as random stimuli in theentorhinal cortex. Journal of Neurophysiology 92:408-415, 2004.

Schreiber, S., Samengo, I. and Herz, A. V. M.. Two distinctmechanisms shape the reliability of neural responses. Journal ofNeurophysiology 101:2239-2251, 2009.

Schulz, J. M., Knoflach, F., Hernandez, M.-C. and Bischofberger,J.. Dendrite-targeting interneurons control synaptic NMDA-receptoractivation via nonlinear α5-GABA-A receptors. NatureCommunications 9:3576, 10.1038/s41467-018-06004-8, 2018.

Schulz, P. E., Cook, E. P. and Johnston, D.. Changes inpaired-pulse facilitation suggest presynaptic involvement inlong-term potentiation. Journal of Neuroscience 14:5325-5337,1994.

Scorcioni, R., Lazarewicz, M. T. and Ascoli, G. A.. Quantitativemorphometry of hippocampal pyramidal cells: differences betweenanatomical classes and reconstructing laboratories. Journal ofComparative Neurology 473:177-193, 2004.

Scott, L. L., Mathews, P. J. and Golding, N. L.. Perisomaticvoltage-gated sodium channels actively maintain linear synapticintegration in principal neurons of the medial superior olive.Journal of Neuroscience 30:2039-2050,10.1523/JNEUROSCI.2385-09.2010, 2010.

Scurfield, A. and Latimer, D. C.. A computational study of theimpact of inhom*ogeneous internodal lengths on conduction velocityin myelinated neurons. PLoS ONE 13:e0191106,10.1371/journal.pone.0191106, 2018.

Scuri, R., Lombardo, P., Cataldo, E., Ristori, C. and Brunelli,M.. Inhibition of Na+/K+ ATPase potentiates synaptic transmissionin tactile sensory neurons of the leech. European Journal ofNeuroscience 25:159-167, 2007.

Seay, M. J., Natan, R. G., Geffen, M. N. and Buonomano, D. V..Differential short-term plasticity of PV and SST neurons accountsfor adaptation and facilitation of cortical neurons to auditorytones. Journal of Neuroscience 40:9224-9235,10.1523/JNEUROSCI.0686-20.2020, 2020.

Seely, J. and Crotty, P.. Optimization of the leak conductance inthe squid giant axon. Physical Review E 82:021906,10.1103/PhysRevE.82.021906, 2010.

Seenivasan, P. and Narayanan, R.. Efficient phase coding inhippocampal place cells. Physical Review Research 2:033393,10.1103/PhysRevResearch.2.033393, 2020.

Segev, D. and Korngreen, A.. Kinetics of two voltage-gated K+conductances in substantia nigra dopaminergic neurons. BrainResearch 1173:27-35, 2007.

Segev, I. and Burke, R. E.. Compartmental models of complexneurons. In: Methods in Neuronal Modeling, edited by Koch, C.and Segev, I.. Cambridge, MA: Cambridge, MA, MIT Press, 1998, pp.93-129.

Segev, I., Friedman, A., White, E. L. and Gutnick, M. J..Electrical consequences of spine dimensions in a model of acortical spiny stellate cell completely reconstructed from serialthin sections. Journal of Computational Neuroscience 2:117-130,1995.

Segev, I. and London, M.. A theoretical view of passive and activedendrites. In: Dendrites, edited by Stuart, G., Spruston, N. andHäusser, M.. NY: NY, Oxford University Press, 1999, pp. 205-230.

Segev, I. and London, M.. Untangling dendrites with quantitativemodels. Science 290:744-750, 2000.

Sekulić, V., Chen, T.-C., Lawrence, J. J. and Skinner, F. K..Dendritic distributions of Ih channels in experimentally-derivedmulti-compartment models of oriens-lacunosum/moleculare (O-LM)hippocampal interneurons. Frontiers in Synaptic Neuroscience7:2, 10.3389/fnsyn.2015.00002, 2015.

Sekulić, V., Lawrence, J. J. and Skinner, F. K.. Usingmulti-compartment ensemble modeling as an investigative tool ofspatially distributed biophysical balances: application tohippocampal oriens-lacunosum/moleculare (O-LM) cells. PLoS ONE9:e106567, 10.1371/journal.pone.0106567, 2014.

Sekulić, V. and Skinner, F. K.. Computational models of O-LM cellsare recruited by low or high theta frequency inputs depending onh-channel distributions. eLife 6:e22962, 10.7554/eLife.22962,2017.

Sekulić, V., Yi, F., Garrett, T., Guet-McCreight, A., Lawrence, J.J. and Skinner, F. K.. Integration of within-cell experimentaldata with multi-compartmental modeling predicts h-channeldensities and distributions in hippocampal OLM cells. Frontiersin Cellular Neuroscience 14:277, 10.3389/fncel.2020.00277, 2020.

Sengupta, N., Brain, K. L. and Manchanda, R.. Spatiotemporaldynamics of synaptic drive in urinary bladder syncytium: acomputational investigation [Online]. 2015 37th AnnualInternational Conference of the IEEE Engineering in Medicine andBiology Society, 10.1109/embc.2015.7320267, 2015.

Sengupta, N., Brain, K. L. and Manchanda, R.. Cellular environmentin a bundle modulates SEJP characteristics in detrusor smoothmuscle [Online]. 2018 40th Annual International Conference of theIEEE Engineering in Medicine and Biology Society,10.1109/embc.2018.8513621, 2018.

Sengupta, N. and Manchanda, R.. Spontaneous synaptic drive indetrusor smooth muscle: computational investigation andimplications for urinary bladder function. Journal ofComputational Neuroscience 47:167-189,10.1007/s10827-019-00731-7, 2019.

Senk, J., Carde, C., Hagen, E., Kuhlen, T. W., Diesmann, M. andWeyers, B.. VIOLA-a multi-purpose and web-based visualization toolfor neuronal-network simulation output. Frontiers inNeuroinformatics 12:75, 10.3389/fninf.2018.00075, 2018.

Senkow, T. L., Theis, N. D., Quindlen-Hotek, J. C. and Barocas, V.H.. Computational and psychophysical experiments on the Paciniancorpuscle’s ability to discriminate complex stimuli. IEEETransactions on Haptics 12:635-644, 10.1109/TOH.2019.2903500,2019.

Seo, H. and Jun, S. C.. Relation between the electric field andactivation of cortical neurons in transcranial electricalstimulation. Brain Stimulation 12:275-289,10.1016/j.brs.2018.11.004, 2019.

Seo, H., Kim, D. and Jun, S. C.. Computational study of subduralcortical stimulation: effects of simulating anisotropicconductivity on activation of cortical neurons. PLoS ONE10:e0128590, 10.1371/journal.pone.0128590, 2015.

Seo, H., Kim, D. and Jun, S. C.. Effect of anatomically realisticfull-head model on activation of cortical neurons in subduralcortical stimulation–a computational study. Scientific Reports62016a.

Seo, H., Kim, D. and Jun, S. C.. Effects of electrode displacementin high-definition transcranial direct current stimulation: acomputational study. IEEE Engineering in Medicine and BiologySociety. Annual Conference 2016:4618-4621,10.1109/EMBC.2016.7591756, 2016b.

Seo, H., Kim, H.-I. and Jun, S. C.. A computational study oneffect of a transcranial channel as a skull/brain interface in theconventional rectangular patch-type transcranial direct currentstimulation [Online]. 2017 39th Annual International Conferenceof the IEEE Engineering in Medicine and Biology Society,10.1109/embc.2017.8037230, 2017a.

Seo, H., Kim, H.-I. and Jun, S. C.. The effect of a transcranialchannel as a skull/brain interface in high-definition transcranialdirect current stimulation-a computational study. ScientificReports 7:40612, 10.1038/srep40612, 2017b.

Seo, H., Schaworonkow, N., Jun, S. C. and Triesch, J.. Amulti-scale computational model of the effects of TMS on motorcortex. F1000Research 5:1945, 10.12688/f1000research.9277.3,2016c.

Sethupathy, P., Rubin, D. B., Li, G. and Cleland, T. A.. A modelof electrophysiological heterogeneity in periglomerular cells.Frontiers in Computational Neuroscience 7:49,10.3389/fncom.2013.00049, 2013.

Sethuramanujam, S., Yao, X., deRosenroll, G., Briggman, K. L.,Field, G. D. and Awatramani, G. B.. “Silent” NMDA synapses enhancemotion sensitivity in a mature retinal circuit. Neuron96:1099-1111.e3, 10.1016/j.neuron.2017.09.058, 2017.

Shabestari, P. S., Buccino, A. P., Kumar, S. S., Pedrocchi, A. andHierlemann, A.. A modulated template-matching approach to improvespike sorting of bursting neurons. IEEE Biomedical Circuits andSystems Conference 202110.1109/BioCAS49922.2021.9644995, 2021.

Shah, M. M., Migliore, M. and Brown, D. A.. Differential effectsof Kv7 (M-) channels on synaptic integration in distinctsubcellular compartments of rat hippocampal pyramidal neurons.Journal of Physiology 589:6029-6038,10.1113/jphysiol.2011.220913, 2011.

Shah, M. M., Migliore, M., Valencia, I., Cooper, E. C. and Brown,D. A.. Functional significance of axonal Kv7 channels inhippocampal pyramidal neurons. Proceedings of the NationalAcademy of Sciences of the United States of America105:7869-7874, 2008.

Shai, A. S., Anastassiou, C. A., Larkum, M. E. and Koch, C..Physiology of layer 5 pyramidal neurons in mouse primary visualcortex: coincidence detection through bursting. PLoSComputational Biology 11:e1004090, 10.1371/journal.pcbi.1004090,2015.

Shai, A. S., Koch, C. and Anastassiou, C. A.. Spike-timing controlby dendritic plateau potentials in the presence of synapticbarrages. Frontiers in Computational Neuroscience 8:89,10.3389/fncom.2014.00089, 2014.

Shao, J., Tsao, T. H. and Butera, R.. Bursting without slowkinetics: a role for a small world?. Neural Computation18:2029-2035, 2006.

Shao, L. R., Halvorsrud, R., Borg-Graham, L. and Storm, J. F.. Therole of BK-type Ca2+-dependent K+ channels in spike broadeningduring repetitive firing in rat hippocampal pyramidal cells.Journal of Physiology 521:135-146, 1999.

Sharp, P. E., Blair, H. T. and Brown, M.. Neural network modelingof the hippocampal formation spatial signals and their possiblerole in navigation: a modular approach. Hippocampus 6:720-734,1996.

Sheasby, B. W. and Fohlmeister, J. F.. Impulse encoding across thedendritic morphologies of retinal ganglion cells. Journal ofNeurophysiology 81:1685-1698, 1999.

Sheets, P. L., Jackson, J. O., Waxman, S. G., Dib-Hajj, S. D. andCummins, T. R.. A Na(v)1.7 channel mutation associated withhereditary erythromelalgia contributes to neuronalhyperexcitability and displays reduced lidocaine sensitivity.Journal of Physiology 581:1019-1031, 2007.

Sheffield, M. E. J., Best, T. K., Mensh, B. D., Kath, W. L. andSpruston, N.. Slow integration leads to persistent actionpotential firing in distal axons of coupled interneurons. NatureNeuroscience 14:200-207, 10.1038/nn.2728, 2011.

Shehzad, D. and Bozkuş, Z.. Optimizing NEURON simulationenvironment using remote memory access with recursive doubling ondistributed memory systems. Computational Intelligence andNeuroscience 2016:3676582, 10.1155/2016/3676582, 2016.

Shen, G. Y. Y., Chen, W. R., Midtgaard, J., Shepherd, G. M. andHines, M. L.. Computational analysis of action potentialinitiation in mitral cell soma and dendrites based on dual patchrecordings. Journal of Neurophysiology 82:3006-3020, 1999.

Shen, W. X., Hernandez-Lopez, S., Tkatch, T., Held, J. E. andSurmeier, D. J.. Kv1.2-containing K+ channels regulatesubthreshold excitability of striatal medium spiny neurons.Journal of Neurophysiology 91:1337-1349, 2004.

Sherif, M. A., Neymotin, S. A. and Lytton, W. W.. In silicohippocampal modeling for multi-target pharmacotherapy inschizophrenia. NPJ Schizophrenia 6:25,10.1038/s41537-020-00109-0, 2020.

Sheroziya, M. G. and Egorov, A. V.. Effects of extracellularcalcium on the volley activity of entorhinal cortex neurons inneonatal rats: computer simulation. Neuroscience and BehavioralPhysiology 40:1-4, 10.1007/s11055-009-9229-0, 2010.

Sheynikhovich, D., Otani, S. and Arleo, A.. Dopaminergic controlof long-term depression/long-term potentiation threshold inprefrontal cortex.. Journal of Neuroscience 33:13914-13926,10.1523/JNEUROSCI.0466-13.2013, 2013.

Shifman, A. R. and Lewis, J. E.. ELFENN: a generalized platformfor modeling ephaptic coupling in spiking neuron models.Frontiers In Neuroinformatics 13:35, 10.3389/fninf.2019.00035,2019.

Shilyansky, C., Karlsgodt, K. H., Cummings, D. M., Sidiropoulou,K., Hardt, M., James, A. S., Ehninger, D., Bearden, C. E.,Poirazi, P., Jentsch, J. D., Cannon, T. D., Levine, M. S. andSilva, A. J.. Neurofibromin regulates corticostriatal inhibitorynetworks during working memory performance. Proceedings of theNational Academy of Sciences of the United States of America107:13141-13146, 10.1073/pnas.1004829107, 2010.

Shimazaki, R., Boccaccio, A., Mazzatenta, A., Pinato, G.,Migliore, M. and Menini, A.. Electrophysiological properties andmodeling of murine vomeronasal sensory neurons in acute slicepreparations. Chemical Senses 31:425-435, 2006.

Shimoura, R. O., Pena, R. F. O., Lima, V., Kamiji, N. L.,Girardi-Schappo, M. and Roque, A. C.. Building a model of thebrain: from detailed connectivity maps to network organization.European Physical Journal Special Topics 230:2887-2909,10.1140/epjs/s11734-021-00152-7, 2021.

Shinozaki, T., Cateau, H., Urakubo, H. and Okada, M.. Controllingsynfire chain by inhibitory synaptic input. Journal of thePhysical Society of Japan 76:044806 doi:10.1143/JPSJ.76.044806,2007.

Shirinpour, S., Hananeia, N., Rosado, J., Tran, H., Galanis, C.,Vlachos, A., Jedlicka, P., Queisser, G. and Opitz, A.. Multi-scalemodeling toolbox for single neuron and subcellular activity undertranscranial magnetic stimulation. Brain Stimulation14:1470-1482, 10.1016/j.brs.2021.09.004, 2021.

Shirke, A. M. and Malinow, R.. Mechanisms of potentiation bycalcium-calmodulin kinase II of postsynaptic sensitivity in rathippocampal CA1 neurons. Journal of Neurophysiology78:2682-2692, 1997.

Short, S. M., Morse, T. M., McTavish, T. S., Shepherd, G. M. andVerhagen, J. V.. Respiration gates sensory input responses in themitral cell layer of the olfactory bulb. PLoS ONE 11:e0168356,10.1371/journal.pone.0168356, 2016.

Shrager, P.. Axonal coding of action-potentials in demyelinatednerve-fibers. Brain Research 619:278-290, 1993.

Shrager, P. and Rubinstein, C. T.. Optical measurement ofconduction in single demyelinated axons. Journal of GeneralPhysiology 95:867-889, 1990.

Shu, Y., Duque, A., Yu, Y., Haider, B. and McCormick, D. A..Properties of action-potential initiation in neocortical pyramidalcells: evidence from whole cell axon recordings. Journal ofNeurophysiology 97:746-760, 2007a.

Shu, Y., Yu, Y., Yang, J. and McCormick, D. A.. Selective controlof cortical axonal spikes by a slowly inactivating K+ current..Proceedings of the National Academy of Sciences of the UnitedStates of America 104:11453-11458, 10.1073/pnas.0702041104,2007b.

Shuman, T., Aharoni, D., Cai, D. J., Lee, C. R., Chavlis, S.,Page-Harley, L., Vetere, L. M., Feng, Y., Yang, C. Y.,Mollinedo-Gajate, I., Chen, L., Pennington, Z. T., Taxidis, J.,Flores, S. E., Cheng, K., Javaherian, M., Kaba, C. C., Rao, N.,La-Vu, M., Pandi, I., Shtrahman, M., Bakhurin, K. I., Masmanidis,S. C., Khakh, B. S., Poirazi, P., Silva, A. J. and Golshani, P..Breakdown of spatial coding and interneuron synchronization inepileptic mice. Nature Neuroscience 23:229-238,10.1038/s41593-019-0559-0, 2020.

Shvartsman, A., Kotler, O., Stoler, O., Khrapunsky, Y., Melamed,I. and Fleidervish, I. A.. Subcellular distribution of persistentsodium conductance in cortical pyramidal neurons. Journal ofNeuroscience 10.1523/JNEUROSCI.2989-20.2021, 2021.

Sidiropoulou, K., Joels, M. and Poirazi, P.. Modelingstress-induced adaptations in Ca2+ dynamics. Neurocomputing70:1640-1644, 2007.

Sidiropoulou, K. and Poirazi, P.. Predictive features ofpersistent activity emergence in regular spiking and intrinsicbursting model neurons. PLoS Computational Biology 8:e1002489,10.1371/journal.pcbi.1002489, 2012.

Sikora, M. A., Gottesman, J. and Miller, R. F.. A computationalmodel of the ribbon synapse. Journal of Neuroscience Methods145:47-61, 2005.

Silberberg, G. and Markram, H.. Disynaptic inhibition betweenneocortical pyramidal cells mediated by Martinotti cells. Neuron53:735-746, 2007.

Silver, R. A.. Neuronal arithmetic. Nature Reviews Neuroscience11:474-489, 10.1038/nrn2864, 2010.

Silverstein, D. N.. A computational investigation of feedforwardand feedback processing in metacontrast backward masking.Frontiers in Psychology 6:6, 10.3389/fpsyg.2015.00006, 2015.

Silverstein, D. N. and Lansner, A.. Is attentional blink abyproduct of neocortical attractors?. Frontiers in ComputationalNeuroscience 5:13, 10.3389/fncom.2011.00013, 2011.

Simões de Souza, F. M. and De Schutter, E.. Robustness effect ofgap junctions between Golgi cells on cerebellar cortexoscillations. Neural Systems and Circuits 1:7,10.1186/2042-1001-1-7, 2011.

Simon, J. Z., Carr, C. E. and Shamma, S. A.. A dendritic model ofcoincidence detection in the avian brainstem. Neurocomputing26-27:263-269, 1999.

Singh, C. and Levy, W. B.. A consensus layer V pyramidal neuroncan sustain interpulse-interval coding. PLoS ONE 12:e0180839,10.1371/journal.pone.0180839, 2017.

Sinha, M. and Narayanan, R.. HCN channels enhance spike phasecoherence and regulate the phase of spikes and LFPs in thetheta-frequency range. Proceedings of the National Academy ofSciences of the United States of America 112:E2207-E2216,10.1073/pnas.1419017112, 2015.

Šišková, Z., Justus, D., Kaneko, H., Friedrichs, D., Henneberg,N., Beutel, T., Pitsch, J., Schoch, S., Becker, A., von derKammer, H. and Remy, S.. Dendritic structural degeneration isfunctionally linked to cellular hyperexcitability in a mouse modelof Alzheimer’s disease. Neuron 84:1023-1033,10.1016/j.neuron.2014.10.024, 2014.

Sittl, R., Lampert, A., Huth, T., Schuy, E. T., Link, A. S.,Fleckenstein, J., Alzheimer, C., Grafe, P. and Carr, R. W..Anticancer drug oxaliplatin induces acute cooling-aggravatedneuropathy via sodium channel subtype Na(V)1.6-resurgent andpersistent current. Proceedings of the National Academy ofSciences of the United States of America 109:6704-6709,10.1073/pnas.1118058109, 2012.

Siu, D.. Activity-dependent hepatocyte growth factor expressionand its role in organogenesis and cancer growth suppression.Medical Hypotheses 63:62-70, 2004.

Sivagnanam, S., Gorman, W., Doherty, D., Neymotin, S. A., Fang,S., Hovhannisyan, H., Lytton, W. W. and Dura-Bernal, S..Simulating Large-scale Models of Brain Neuronal Circuits usingGoogle Cloud Platform.. PEARC20 : Practice and Experience inAdvanced Research Computing 2020 : Catch the wave : July 27-31,2020, Portland, Or Virtual Conference. Practice and Experience inAdvanced Research Computing (Conference) (2020 : Online)2020:505-509, 10.1145/3311790.3399621, 2020.

Sivagnanam, S., Majumdar, A., Yoshimoto, K., Astakhov, V.,Bandrowski, A., Martone, M. E. and Carnevale, N. T.. Introducingthe Neuroscience Gateway [Online]. Proceedings of the 5thInternational Workshop on Science Gateways 993, 2013.

Sjöström, P. J. and Häusser, M.. A cooperative switch determinesthe sign of synaptic plasticity in distal dendrites of neocorticalpyramidal neurons. Neuron 51:227-238, 2006.

Skaar, J.-E. W., Stasik, A. J., Hagen, E., Ness, T. V. andEinevoll, G. T.. Estimation of neural network model parametersfrom local field potentials (LFPs). PLoS Computational Biology16:e1007725, 10.1371/journal.pcbi.1007725, 2020.

Skach, J., Conway, C., Barrett, L. and Ye, H.. Axonal blockagewith microscopic magnetic stimulation. Scientific Reports10:18030, 10.1038/s41598-020-74891-3, 2020.

Skinner, F. and Saraga, F.. Single neuron models: interneurons.In: Hippocampal Microcircuits. New York, NY: Springer New York,2010, pp. 399-422.

Slopsema, J. P., Peña, E., Patriat, R., Lehto, L. J., Gröhn, O.,Mangia, S., Harel, N., Michaeli, S. and Johnson, M. D.. Clinicaldeep brain stimulation strategies for orientation-selectivepathway activation. Journal of Neural Engineering 15:056029,10.1088/1741-2552/aad978, 2018.

Smith, S. L., Smith, I. T., Branco, T. and Häusser, M.. Dendriticspikes enhance stimulus selectivity in cortical neurons in vivo.Nature 503:115-120, 10.1038/nature12600, 2013.

Softky, W.. Sub-millisecond coincidence detection in activedendritic trees. Neuroscience 58:13-41, 1994.

Softky, W. R. and Koch, C.. Cortical cells should fire regularly,but do not. Neural Computation 4:643-646, 1992.

Softky, W. R. and Koch, C.. The highly irregular firing ofcortical cells is inconsistent with temporal integration of randomEPSPs. Journal of Neuroscience 13:334-350, 1993.

Sohal, V. S., Cox, C. L. and Huguenard, J. R.. Localization of CCKreceptors in thalamic reticular neurons: a modeling study.Journal of Neurophysiology 79:2820-2824, 1998.

Sohal, V. S. and Huguenard, J. R.. Long-range connectionssynchronize rather than spread intrathalamic oscillations:computational modeling and in vitro electrophysiology. Journal ofNeurophysiology 80:1736-1751, 1998.

Sohal, V. S. and Huguenard, J. R.. Reciprocal inhibition controlsthe oscillatory state in thalamic networks. Neurocomputing44:653-659, 2002.

Sohal, V. S. and Huguenard, J. R.. Inhibitory interconnectionscontrol burst pattern and emergent network synchrony in reticularthalamus. Journal of Neuroscience 23:8978-8988, 2003.

Sohal, V. S. and Huguenard, J. R.. Inhibitory couplingspecifically generates emergent gamma oscillations in diverse celltypes. Proceedings of the National Academy of Sciences of theUnited States of America 102:18638-18643, 2005.

Sohal, V. S., Huntsman, M. M. and Huguenard, J. R.. Reciprocalinhibitory connections produce desynchronizing phase lags duringintrathalamic oscillations. Neurocomputing 32:509-516, 2000a.

Sohal, V. S., Huntsman, M. M. and Huguenard, J. R.. Reciprocalinhibitory connections regulate the spatiotemporal properties ofintrathalamic oscillations. Journal of Neuroscience20:1735-1745, 2000b.

Sohal, V. S., Pangratz-Fuehrer, S., Rudolph, U. and Huguenard, J.R.. Intrinsic and synaptic dynamics interact to generate emergentpatterns of rhythmic bursting in thalamocortical neurons..Journal of Neuroscience 26:4247-4255,10.1523/JNEUROSCI.3812-05.2006, 2006.

Sokolova, I. V., Schneider, C. J., Bezaire, M., Soltesz, I.,Vlkolinsky, R. and Nelson, G. A.. Proton radiation altersintrinsic and synaptic properties of CA1 pyramidal neurons of themouse hippocampus. Radiation Research 183:208-218,10.1667/RR13785.1, 2015.

Solbrå, A., Bergersen, A. W., van den Brink, J., Malthe-Sørenssen,A., Einevoll, G. T. and Halnes, G.. A Kirchhoff-Nernst-Planckframework for modeling large scale extracellular electrodiffusionsurrounding morphologically detailed neurons. PLoS ComputationalBiology 14:e1006510, 10.1371/journal.pcbi.1006510, 2018.

Soldado-Magraner, S., Brandalise, F., Honnuraiah, S., Pfeiffer,M., Moulinier, M., Gerber, U. and Douglas, R.. Conditioning bysubthreshold synaptic input changes the intrinsic firing patternof CA3 hippocampal neurons. Journal of Neurophysiology123:90-106, 10.1152/jn.00506.2019, 2020.

Solinas, S., Forti, L., Cesana, E., Mapelli, J., De Schutter, E.and D’Angelo, E.. Computational reconstruction of pacemaking andintrinsic electroresponsiveness in cerebellar golgi cells.Frontiers in Cellular Neuroscience 1:2,10.3389/neuro.03.002.2007, 2007a.

Solinas, S., Forti, L., Cesana, E., Mapelli, J., De Schutter, E.and D’Angelo, E.. Fast-reset of pacemaking and theta-frequencyresonance patterns in cerebellar golgi cells: simulations of theirimpact in vivo. Frontiers in Cellular Neuroscience 1:4,10.3389/neuro.03.004.2007, 2007b.

Solinas, S., Nieus, T. and D’Angelo, E.. A realistic large-scalemodel of the cerebellum granular layer predicts circuitspatio-temporal filtering properties. Frontiers in CellularNeuroscience 4:12, 10.3389/fncel.2010.00012, 2010.

Solinas, S. M. G., Edelmann, E., Leßmann, V. and Migliore, M.. Akinetic model for brain-derived neurotrophic factor mediated spiketiming-dependent LTP. PLoS Computational Biology 15:e1006975,10.1371/journal.pcbi.1006975, 2019.

Soltesz, I., Smetters, D. K. and Mody, I.. Tonic inhibitionoriginates from synapses close to the soma. Neuron 14:1273-1283,1995.

Somjen, G. G.. Mechanisms of spreading depression and hypoxicspreading depression-like depolarization. Physiological Reviews81:1065-1096, 2001.

Somjen, G. G.. Ions in the Brain. New York, NY: address, OxfordUniversity Press, 2004.

Somjen, G. G., Kager, H. and Wadman, W. J.. Computer simulationsof neuron-glia interactions mediated by ion flux. Journal ofComputational Neuroscience 25:349-365, 2008.

Somjen, G. G., Kager, H. and Wadman, W. J.. Calcium sensitivenon-selective cation current promotes seizure-like discharges andspreading depression in a model neuron. Journal of ComputationalNeuroscience 26:139-147, 2009.

Somogyi, A., Katonai, Z., Alpár, A. and Wolf, E.. A novel form ofcompensation in the Tg2576 amyloid mouse model of Alzheimer’sdisease. Frontiers in Cellular Neuroscience 10:152,10.3389/fncel.2016.00152, 2016.

Somogyi, A. and Wolf, E.. Increased signal delays and unalteredsynaptic input pattern recognition in layer III neocorticalpyramidal neurons of the rTg4510 mouse model of tauopathy: acomputer simulation study with passive membrane. Frontiers inNeuroscience 15:721773, 10.3389/fnins.2021.721773, 2021.

Somogyvari, Z., Zalanyi, L., Ulbert, I. and Erdi, P.. Model-basedsource localization of extracellular action potentials. Journalof Neuroscience Methods 147:126-137, 2005.

Song, D., Wang, Z. and Berger, T. W.. Contribution of T-type VDCCto TEA-induced long-term synaptic modification in hippocampal CA1and dentate gyrus. Hippocampus 12:689-697, 2002.

Song, W., Kerr, C. C., Lytton, W. W. and Francis, J. T.. Corticalplasticity induced by spike-triggered microstimulation in primatesomatosensory cortex. PLoS ONE 8:e57453,10.1371/journal.pone.0057453, 2013.

Song, W. H., Xiao, Y. C., Chen, H. Y., Ashpole, N. M., Piekarz, A.D., Ma, P. L., Hudmon, A., Cummins, T. R. and Shou, W. N. A.. Thehuman Nav1.5 F1486 deletion associated with long QT syndrome leadsto impaired sodium channel inactivation and reduced lidocainesensitivity. Journal of Physiology 590:5123-5139,10.1113/jphysiol.2012.235374, 2012.

Sotiropoulos, S. N. and Steinmetz, P. N.. Assessing the directeffects of deep brain stimulation using embedded axon models.Journal of Neural Engineering 4:107-119, 2007.

de Sousa, G., Maex, R., Adams, R., Davey, N. and Steuber, V..Dendritic morphology predicts pattern recognition performance inmulti-compartmental model neurons with and without activeconductances. Journal of Computational Neuroscience 38:221-234,10.1007/s10827-014-0537-1, 2015.

Sousa, M. and Aguiar, P.. Building, simulating and visualizinglarge spiking neural networks with NeuralSyns. Neurocomputing123:372-380, 2014.

Sousa, M., Szucs, P., Lima, D. and Aguiar, P.. The pronociceptivedorsal reticular nucleus contains mostly tonic neurons and shows ahigh prevalence of spontaneous activity in block preparation.Journal of Neurophysiology 111:1507-1518, 10.1152/jn.00440.2013,2014.

Spaak, E., Zeitler, M. and Gielen, S.. Hippocampal thetamodulation of neocortical spike times and gamma rhythm: abiophysical model study. PLoS ONE 7:e45688,10.1371/journal.pone.0045688, 2012.

Spampanato, J., Aradi, I., Soltesz, I. and Goldin, A. L..Increased neuronal firing in computer simulations of sodiumchannel mutations that cause generalized epilepsy with febrileseizures plus. Journal of Neurophysiology 91:2040-2050, 2004a.

Spampanato, J. and Goldin, A. L.. Computer simulations of sodiumchannel mutations that cause generalized epilepsy with febrileseizures plus. In: Computational Neuroscience in Epilepsy.Elsevier, 2008, pp. 143-154.

Spampanato, J., Kearney, J. A., de Haan, G., McEwen, D. P.,Escayg, A., Aradi, I., MacDonald, B. T., Levin, S. I., Soltesz,I., Benna, P., Montalenti, E., Isom, L. L., Goldin, A. L. andMeisler, M. H.. A novel epilepsy mutation in the sodium channelSCN1A identifies a cytoplasmic domain for beta subunitinteraction. Journal of Neuroscience 24:10022-10034, 2004b.

Spencer, M. J., Grayden, D. B., Bruce, I. C., Meffin, H. andBurkitt, A. N.. An investigation of dendritic delay in octopuscells of the mammalian cochlear nucleus. Frontiers inComputational Neuroscience 6:83, 10.3389/fncom.2012.00083, 2012.

Spera, E., Migliore, M., Unsworth, N. and Tegolo, D.. On thecellular mechanisms underlying working memory capacity in humans.Neural Network World 26:335-350, 10.14311/NNW.2016.26.019, 2016.

Spiga, S., Lintas, A., Migliore, M. and Diana, M.. Alteredarchitecture and functional consequences of the mesolimbicdopamine system in cannabis dependence. Addiction Biology15:266-276, 10.1111/j.1369-1600.2010.00218.x, 2010.

Spiros, A., Roberts, P. and Geerts, H.. A quantitative systemspharmacology computer model for schizophrenia efficacy andextrapyramidal side effects. Drug Development Research73:196-213, 10.1002/ddr.21008, 2012.

Spirou, G. A., Chirila, F. V., von Gersdorff, H. and Manis, P. B..Heterogeneous Ca2+ influx along the adult calyx of held: Astructural and computational study. Neuroscience 154:171-185,2008.

Spirou, G. A., Rager, J. and Manis, P. B.. Convergence ofauditory-nerve fiber projections onto globular bushy cells.Neuroscience 136:843-863, 2005.

Spoleti, E., Krashia, P., La Barbera, L., Nobili, A., Lupascu, C.A., Giacalone, E., Keller, F., Migliore, M., Renzi, M. andD’Amelio, M.. Early derailment of firing properties in CA1pyramidal cells of the ventral hippocampus in an Alzheimer’sdisease mouse model. Experimental Neurology 350:113969,10.1016/j.expneurol.2021.113969, 2022.

Spratt, P. W. E., Alexander, R. P. D., Ben-Shalom, R., Sahagun,A., Kyoung, H., Keeshen, C. M., Sanders, S. J. and Bender, K. J..Paradoxical hyperexcitability from NaV1.2 sodium channel loss inneocortical pyramidal cells.. Cell Reports 36:109483,10.1016/j.celrep.2021.109483, 2021.

Spratt, P. W. E., Ben-Shalom, R., Keeshen, C. M., Burke, K. J.,Clarkson, R. L., Sanders, S. J. and Bender, K. J.. Theautism-associated gene SCN2a contributes to dendritic excitabilityand synaptic function in the prefrontal cortex. Neuron103:673-685.e5, 10.1016/j.neuron.2019.05.037, 2019.

Spruston, N., Jaffe, D. B. and Johnston, D.. Dendritic attenuationof synaptic potentials and currents: the role of passive membraneproperties. Trends in Neurosciences 17:161-166, 1994.

Spruston, N., Jaffe, D. B., Williams, S. H. and Johnston, D..Voltage- and space-clamp errors associated with measurement ofelectrotonically remote synaptic events. Journal ofNeurophysiology 70:781-802, 1993.

Spruston, N. and Johnston, D.. Perforated patch-clamp analysis ofthe passive membrane properties of three classes of hippocampalneurons. Journal of Neurophysiology 67:508-529, 1992.

Spruston, N., Jonas, P. and Sakmann, B.. Dendritic glutamatereceptor channels in rat hippocampal CA3 and CA1 pyramidalneurons. Journal of Physiology 482:325-352, 1995.

Spruston, N., Stuart, G. and Häusser, M.. Dendritic integration.In: Computational Neuroscience, edited by De Schutter, E.. BocaRaton, FL: Boca Raton, FL, CRC Press, 2001, pp. 231-270.

Squair, J. W., Gautier, M., Mahe, L., Soriano, J. E., Rowald, A.,Bichat, A., Cho, N., Anderson, M. A., James, N. D., Gandar, J.,Incognito, A. V., Schiavone, G., Sarafis, Z. K., Laskaratos, A.,Bartholdi, K., Demesmaeker, R., Komi, S., Moerman, C., Vaseghi,B., Scott, B., Rosentreter, R., Kathe, C., Ravier, J., McCracken,L., Kang, X., Vachicouras, N., Fallegger, F., Jelescu, I., Cheng,Y., Li, Q., Buschman, R., Buse, N., Denison, T., Dukelow, S.,Charbonneau, R., Rigby, I., Boyd, S. K., Millar, P. J., Moraud, E.M., Capogrosso, M., Wagner, F. B., Barraud, Q., Bezard, E.,Lacour, S. P., Bloch, J., Courtine, G. and Phillips, A. A..Neuroprosthetic baroreflex controls haemodynamics after spinalcord injury. Nature 590:308-314, 10.1038/s41586-020-03180-w,2021.

Srikanth, S. and Narayanan, R.. Variability state-dependentplasticity of intrinsic properties during cell-autonomousself-regulation of calcium homeostasis in hippocampal modelneurons. eNeuro 2:ENEURO.0053-15.2015,10.1523/ENEURO.0053-15.2015, 2015.

Srinivas, K. V., Buss, E. W., Sun, Q., Santoro, B., Takahashi, H.,Nicholson, D. A. and Siegelbaum, S. A.. The dendrites of Ca2 andCa1 pyramidal neurons differentially regulate information flow inthe cortico-hippocampal circuit. Journal of Neuroscience37:3276-3293, 10.1523/JNEUROSCI.2219-16.2017, 2017.

Srinivas, K. V. and Sikdar, S. K.. Epileptiform activity inducesdistance-dependent alterations of the Ca2+ extrusion mechanism inthe apical dendrites of subicular pyramidal neurons. EuropeanJournal of Neuroscience 28:2195-2212, 2008.

Stacey, R. G., Hilbert, L. and Quail, T.. Computational study ofsynchrony in fields and microclusters of ephaptically coupledneurons. Journal of Neurophysiology 113:3229-3241,10.1152/jn.00546.2014, 2015.

Stacey, W. C. and Durand, D. M.. Stochastic resonance improvessignal detection in hippocampal CA1 neurons. Journal ofNeurophysiology 83:1394-1402, 2000.

Stacey, W. C. and Durand, D. M.. Synaptic noise improves detectionof subthreshold signals in hippocampal CA1 neurons. Journal ofNeurophysiology 86:1104-1112, 2001.

Stacey, W. C. and Durand, D. M.. Noise and coupling affect signaldetection and bursting in a simulated physiological neuralnetwork. Journal of Neurophysiology 88:2598-2611, 2002.

Stacey, W. C., Kellis, S., Patel, P. R., Greger, B. and Butson, C.R.. Signal distortion from microelectrodes in clinical EEGacquisition systems. Journal of Neural Engineering 9:056007,10.1088/1741-2560/9/5/056007, 2012.

Stacey, W. C., Krieger, A. and Litt, B.. Network recruitment tocoherent oscillations in a hippocampal computer model. Journal ofNeurophysiology 105:1464-1481, 10.1152/jn.00643.2010, 2011.

Stacey, W. C., Lazarewicz, M. T. and Litt, B.. Synaptic noise andphysiological coupling generate high-frequency oscillations in ahippocampal computational model.. Journal of Neurophysiology102:2342-2357, 10.1152/jn.00397.2009, 2009.

Stadler, K., Bierwirth, C., Stoenica, L., Battefeld, A., Reetz,O., Mix, E., Schuchmann, S., Velmans, T., Rosenberger, K., Bräuer,A. U., Lehnardt, S., Nitsch, R., Budt, M., Wolff, T., Kole, M. H.P. and Strauss, U.. Elevation in type I interferons inhibits HCN1and slows cortical neuronal oscillations. Cerebral Cortex24:199-210, 10.1093/cercor/bhs305, 2014.

Stamboulian-Platel, S., Legendre, A., Chabrol, T., Platel, J.-C.,Pernot, F., Duveau, V., Roucard, C., Baudry, M. and Depaulis, A..Activation of GABAA receptors controls mesiotemporal lobe epilepsydespite changes in chloride transporters expression: In vivo andin silico approach. Experimental Neurology 284:11-28,10.1016/j.expneurol.2016.07.009, 2016.

Stasheff, S. F., Hines, M. and Wilson, W. A.. Axon terminalhyperexcitability associated with epileptogenesis in vitro: I.Origin of ectopic spikes. Journal of Neurophysiology 70:961-975,1993.

Steephen, J. E.. Excitability range of medium spiny neurons widensthrough the combined effects of inward rectifying potassiumcurrent inactivation and dopaminergic modulation. Neurocomputing74:3884-3897, 2011.

Steephen, J. E.. HED: a computational model of affectiveadaptation and emotion dynamics. IEEE Transactions On AffectiveComputing 4:197-210, 10.1109/T-AFFC.2013.2, 2013.

Steephen, J. E. and Manchanda, R.. Differences in biophysicalproperties of nucleus accumbens medium spiny neurons emerging frominactivation of inward rectifying potassium currents. Journal ofComputational Neuroscience 27:453-470, 10.1007/s10827-009-0161-7,2009.

Stefano, M., Cordella, F., Li Gioi, S. M. and Zollo, L..Electrical stimulation of the human median nerve: a comparisonbetween anatomical and simplified simulation models [Online].Proc. 10th Int. IEEE/EMBS Conf. Neural Engineering :769-772,10.1109/NER49283.2021.9441187, 2021.

Stefano, M., Cordella, F. and Zollo, L.. The intraneuralelectrical stimulation of human median nerve: a simulation study[Online]. Proc. 29th IEEE Int. Conf. Robot and Human InteractiveCommunication :671-676, 10.1109/RO-MAN47096.2020.9223448, 2020.

Stein, R. B., Estabrooks, K. L., McGie, S., Roth, M. J. and Jones,K. E.. Quantifying the effects of voluntary contraction andinter-stimulus interval on the human soleus H-reflex.Experimental Brain Research 182:309-319,10.1007/s00221-007-0989-x, 2007.

Steinmetz, P. N., Manwani, A., Koch, C., London, M. and Segev, I..Subthreshold voltage noise due to channel fluctuations in activeneuronal membranes. Journal of Computational Neuroscience9:133-148, 2000.

Stelescu, A., Sumegi, J., Weber, I., Birinyi, A. and Wolf, E..Somato-dendritic morphology and dendritic signal transferproperties differentiate between fore- and hindlimb innervatingmotoneurons in the frog Rana esculenta. BMC Neuroscience 13:68,10.1186/1471-2202-13-68, 2012.

Stern, S., Agudelo-Toro, A., Rotem, A., Moses, E. and Neef, A..Chronaxie measurements in patterned neuronal cultures from rathippocampus. PLoS ONE 10:e0132577, 10.1371/journal.pone.0132577,2015a.

Stern, S., Sarkar, A., Galor, D., Stern, T., Mei, A., Stern, Y.,Mendes, A. P. D., Randolph-Moore, L., Rouleau, G., Bang, A. G.,Santos, R., Alda, M., Marchetto, M. C. and Gage, F. H.. Aphysiological instability displayed in hippocampal neurons derivedfrom lithium-nonresponsive bipolar disorder patients. BiologicalPsychiatry 88:150-158, 10.1016/j.biopsych.2020.01.020, 2020.

Stern, S., Segal, M. and Moses, E.. Involvement of potassium andcation channels in hippocampal abnormalities of embryonic Ts65Dnand Tc1 trisomic mice. EBioMedicine 2:1048-1062,10.1016/j.ebiom.2015.07.038, 2015b.

Sterratt, D., Graham, B., Gillies, A. and Willishaw, D..Principles of Computational Modelling in Neuroscience.Cambridge, UK: address, Cambridge University Press, 2011.

Sterratt, D. C. and van Ooyen, A.. Does a dendritic democracy needa ruler?. Neurocomputing 58-60:437-442, 2004.

Sterratt, D. C., Groen, M. R., Meredith, R. M. and van Ooyen, A..Spine calcium transients induced by synaptically-evoked actionpotentials can predict synapse location and establish synapticdemocracy. PLoS Computational Biology 8:e1002545,10.1371/journal.pcbi.1002545, 2012.

Stiefel, K. M., Wespatat, V., Singer, W. and Tennigkeit, F.. Acomputational model of the interaction of membrane potentialoscillations with inhibitory synaptic input in cortical cells.Neurocomputing 38:389-395, 2001.

Stiefel, K. M., Englitz, B. and Sejnowski, T. J.. Origin ofintrinsic irregular firing in cortical interneurons. Proceedingsof the National Academy of Sciences of the United States ofAmerica 110:7886-7891, 10.1073/pnas.1305219110, 2013a.

Stiefel, K. M., Fellous, J.-M., Thomas, P. J. and Sejnowski, T.J.. Intrinsic subthreshold oscillations extend the influence ofinhibitory synaptic inputs on cortical pyramidal neurons.European Journal of Neuroscience 31:1019-1026,10.1111/j.1460-9568.2010.07146.x, 2010.

Stiefel, K. M., Gutkin, B. S. and Sejnowski, T. J.. The effects ofcholinergic neuromodulation on neuronal phase-response curves ofmodeled cortical neurons. Journal of Computational Neuroscience26:289-301, 2009.

Stiefel, K. M. and Sejnowski, T. J.. Mapping function ontoneuronal morphology. Journal of Neurophysiology 98:513-526,2007.

Stiefel, K. M., Torben-Nielsen, B. and Coggan, J. S.. Proposedevolutionary changes in the role of myelin. Frontiers inNeuroscience 7:202, 10.3389/fnins.2013.00202, 2013b.

Stiefel, K. M., Wespatat, V., Gutkin, R., Tennigkeit, F. andSinger, W.. Phase dependent sign changes of GABAergic synapticinput explored in-silicio and in-vitro. Journal of ComputationalNeuroscience 19:71-85, 2005.

Stimberg, M., Hoch, T. and Obermayer, K.. The effect of backgroundnoise on the precision of pulse packet propagation in feed-forwardnetworks. Neurocomputing 70:1824-1828,10.1016/j.neucom.2006.10.057, 2007.

Stockton, D. B. and Santamaria, F.. NeuroManager: a workflowanalysis based simulation management engine for computationalneuroscience. Frontiers in Neuroinformatics 9:24,10.3389/fninf.2015.00024, 2015.

Stockton, D. B. and Santamaria, F.. Automating NEURON simulationdeployment in cloud resources. Neuroinformatics 15:51-70,10.1007/s12021-016-9315-8, 2017a.

Stockton, D. B. and Santamaria, F.. Integrating the Allen BrainInstitute cell types database into automated neuroscienceworkflow. Neuroinformatics 15:333-342,10.1007/s12021-017-9337-x, 2017b.

Stokes, C. C. A., Teeter, C. M. and Isaacson, J. S.. Singledendrite-targeting interneurons generate branch-specificinhibition.. Frontiers in Neural Circuits 8:139,10.3389/fncir.2014.00139, 2014.

Stoop, R., Blank, D., Kern, A., v.d. Vyver, J.-J., Christen, M.,Lecchini, S. and Wagner, C.. Collective bursting in layer IV -synchronization by small thalamic inputs and recurrentconnections. Cognitive Brain Research 13:293-304, 2002.

Strube, C., Saliba, L., Moubarak, E., Penalba, V.,Martin-Eauclaire, M.-F., Tell, F. and Clerc, N.. Kv4 channelsunderlie A-currents with highly variable inactivation time coursesbut hom*ogeneous other gating properties in the nucleus tractussolitarii. Pflügers Archiv-European Journal of Physiology467:789-803, 10.1007/s00424-014-1533-z, 2015.

Strüber, M., Sauer, J.-F., Jonas, P. and Bartos, M..Distance-dependent inhibition facilitates focality of gammaoscillations in the dentate gyrus. Nature Communications 8:758,10.1038/s41467-017-00936-3, 2017.

Stuart, G. and Häusser, M.. Dendritic coincidence detection ofEPSPs and action potentials. Nature Neuroscience 4:63-71, 2001.

Stuart, G. J. and Kole, M. H. P.. Is action potential thresholdlowest in the axon?. Nature Neuroscience 11:1253-1255, 2008.

Stuart, G. and Spruston, N.. Determinants of voltage attenuationin neocortical pyramidal neuron dendrites. Journal ofNeuroscience 18:3501-3510, 1998.

Stuart, G., Spruston, N. and Häusser, M.. Dendritic integration.In: Dendrites, edited by Stuart, G., Spruston, N. and Häusser,M.. NY: NY, Oxford University Press, 1999, pp. 231-270.

Subramaniyam, S., Solinas, S., Perin, P., Locatelli, F., Masetto,S. and D’Angelo, E.. Computational modeling predicts the ionicmechanism of late-onset responses in unipolar brush cells.Frontiers in Cellular Neuroscience 8:237,10.3389/fncel.2014.00237, 2014.

Sudhakar, S. K., Choi, T. J. and Ahmed, O. J.. Biophysicalmodeling suggests optimal drug combinations for improving theefficacy of GABA agonists after traumatic brain injuries. Journalof Neurotrauma 36:1632-1645, 10.1089/neu.2018.6065, 2019.

Sudhakar, S. K., Hong, S., Raikov, I., Publio, R., Lang, C.,Close, T., Guo, D., Negrello, M. and De Schutter, E..Spatiotemporal network coding of physiological mossy fiber inputsby the cerebellar granular layer. PLoS Computational Biology13:e1005754, 10.1371/journal.pcbi.1005754, 2017.

Sudhakar, S. K., Torben-Nielsen, B. and De Schutter, E..Cerebellar nuclear neurons use time and rate coding to transmitpurkinje neuron pauses. PLoS Computational Biology 11:e1004641,10.1371/journal.pcbi.1004641, 2015.

Suffczynski, P., Gentiletti, D., Gnatkovsky, V. and de Curtis, M..Extracellular potassium and focal seizures–insight from in silicostudy. In: Computational Neurology and Psychiatry. SpringerInternational Publishing, 2017, pp. 49-72.

Suleimanova, A., Talanov, M., Gafurov, O., Gafarov, F., Koroleva,K., Virenque, A., Noe, F. M., Mikhailov, N., Nistri, A. andGiniatullin, R.. Modeling a nociceptive neuro-immune synapseactivated by ATP and 5-HT in meninges: novel clues on transductionof chemical signals into persistent or rhythmic neuronal firing.Frontiers in Cellular Neuroscience 14:135,10.3389/fncel.2020.00135, 2020.

Suleimanova, A., Talanov, M., van den Maagdenberg, A. M. J. M. andGiniatullin, R.. Deciphering in silico the role of mutated NaV1.1sodium channels in enhancing trigeminal nociception in familialhemiplegic migraine type 3. Frontiers in Cellular Neuroscience15:644047, 10.3389/fncel.2021.644047, 2021.

Sun, Q., Srinivas, K. V., Sotayo, A. and Siegelbaum, S. A..Dendritic Na(+) spikes enable cortical input to drive actionpotential output from hippocampal CA2 pyramidal neurons. eLife3:e04551, 10.7554/eLife.04551, 2014.

Sun, Q.-Q.. A novel role of dendritic gap junction and mechanismsunderlying its interaction with thalamocortical conductance infast spiking inhibitory neurons. BMC Neuroscience 10:131,10.1186/1471-2202-10-131, 2009a.

Sun, Q.-Q.. Experience-dependent intrinsic plasticity ininterneurons of barrel cortex layer IV.. Journal ofNeurophysiology 102:2955-2973, 10.1152/jn.00562.2009, 2009b.

Sun, W. J. and Dietrich, D.. Synaptic integration by NG2 cells.Frontiers In Cellular Neuroscience 7:255,10.3389/fncel.2013.00255, 2013.

Sundt, D., Gamper, N. and Jaffe, D. B.. Spike propagation throughthe dorsal root ganglia in an unmyelinated sensory neuron: amodeling study. Journal of Neurophysiology 114:3140-3153,10.1152/jn.00226.2015, 2015.

Surkis, A., Peskin, C. S., Tranchina, D. and Leonard, C. S..Recovery of cable properties through active and passive modelingof subthreshold membrane responses from laterodorsal tegmentalneurons. Journal of Neurophysiology 80:2593-2607, 1998.

Swan, B. D., Brocker, D. T., Gross, R. E., Turner, D. A. andGrill, W. M.. Effects of ramped-frequency thalamic deep brainstimulation on tremor and activity of modeled neurons. ClinicalNeurophysiology 131:625-634, 10.1016/j.clinph.2019.11.060, 2019.

Swan, B. D., Brocker, D. T., Hilliard, J. D., Tatter, S. B.,Gross, R. E., Turner, D. A. and Grill, W. M.. Short pauses inthalamic deep brain stimulation promote tremor and neuronalbursting. Clinical Neurophysiology 127:1551-1559,10.1016/j.clinph.2015.07.034, 2016.

Sylantyev, S., Savtchenko, L. P., Ermolyuk, Y., Michaluk, P. andRusakov, D. A.. Spike-driven glutamate electrodiffusion triggerssynaptic potentiation via a homer-dependent mGluR-NMDAR link.Neuron 77:528-541, 10.1016/j.neuron.2012.11.026, 2013.

Sylantyev, S., Savtchenko, L. P., Niu, Y. P., Ivanov, A. I.,Jensen, T. P., Kullmann, D. M., Xiao, M. Y. and Rusakov, D. A..Electric fields due to synaptic currents sharpen excitatorytransmission. Science 319:1845-1849, 2008.

Sylantyev, S., Savtchenko, L. P., O’Neill, N. and Rusakov, D. A..Extracellular GABA waves regulate coincidence detection inexcitatory circuits. Journal of Physiology 598:4047-4062,10.1113/JP279744, 2020.

Szalisznyo, K., Silverstein, D. N., Duffau, H. and Smits, A..Pathological neural attractor dynamics in slowly growing gliomassupports an optimal time frame for white matter plasticity. PLoSONE 8:e69798, 10.1371/journal.pone.0069798, 2013.

Szegedi, V., Paizs, M., Baka, J., Barzó, P., Molnár, G., Tamas, G.and Lamsa, K.. Robust perisomatic GABAergic self-innervationinhibits basket cells in the human and mouse supragranularneocortex. eLife 910.7554/eLife.51691, 2020.

Szoboszlay, M., Lőrincz, A., Lanore, F., Vervaeke, K., Silver, R.A. and Nusser, Z.. Functional properties of dendritic gapjunctions in cerebellar golgi cells. Neuron 90:1043-1056,10.1016/j.neuron.2016.03.029, 2016.

Tajarenejad, H., Ansari, M. A., Akbari, S., Yazdanfar, H. andHamidi, S. M.. Optical neural stimulation using thethermoplasmonic effect of gold nano-hexagon. Biomedical OpticsExpress 12:6013-6023, 10.1364/BOE.438593, 2021.

Takagi, H. and Kawasaki, M.. Modeling of time disparity detectionby the Hodgkin-Huxley equations. Journal of ComparativePhysiology. A, Neuroethology, Sensory, Neural, and BehavioralPhysiology 189:257-262, 2003.

Takagi, H., Sato, R., Matsumoto, T., Saito, M., Ito, E. andSuzuki, H.. Time-sharing contributions of A- and D-type K+channels to the integration of high-frequency sequentialexcitatory post synaptic potentials at a model dendrite in rats.Neuroscience Letters 289:169-172, 2000.

Takagi, H., Sato, R., Mori, M., Ito, E. and Suzuki, H.. Roles ofA- and D-type K channels in EPSP integration at a model dendrite.Neuroscience Letters 254:165-168, 1998.

Takahashi, H., Nakao, M. and Kaga, K.. Selective activation ofdistant nerve by surface electrode array. IEEE Transactions onBiomedical Engineering 54:563-569, 2007.

Takahashi, H., Nakao, M. and Kaga, K.. Simulation of nerve bundleactivation by simultaneous multipoint extracellular stimulationwith surface electrodes. Electronics and Communications in Japan92:31-40, 10.1002/ecj.10064, 2009.

Takayasu, M., Takayasu, H., Koizumi, A., Shiraishi, Y. and Kaneko,A.. The role of random dendrites and inhibitory pathways inretinal neuron networks. Physica A-Statistical Mechanics and itsApplications 357:513-524, 2005.

Tal, I., Neymotin, S., Bickel, S., Lakatos, P. and Schroeder, C.E.. Oscillatory bursting as a mechanism for temporal coupling andinformation coding. Frontiers in Computational Neuroscience14:82, 10.3389/fncom.2020.00082, 2020.

Talanov, M., Leukhin, A., Suleimanova, A., Toschev, A. and Lavrov,I.. Oscillator motif as design pattern for the spinal cordcircuitry reconstruction. BioNanoScience 10:649-653,10.1007/s12668-020-00743-z, 2020.

Tanaka, T. and Nakamura, K. C.. Focal inputs are a potentialorigin of local field potential (LFP) in the brain regions withoutlaminar structure. PLoS ONE 14:e0226028,10.1371/journal.pone.0226028, 2019.

Tang, A. C., Bartels, A. M. and Sejnowski, T. J.. Effects ofcholinergic modulation on responses of neocortical neurons tofluctuating input. Cerebral Cortex 7:502-509, 1997.

Tang, A. C., Wolfe, J. and Bartels, A. M.. Cholinergic modulationof spike timing and spike rate. Neurocomputing 26-27:293-298,1999.

Taylor, A. L., Goaillard, J. M. and Marder, E.. How multipleconductances determine electrophysiological properties in amulticompartment model. Journal of Neuroscience 29:5573-5586,2009.

Taylor, W. R., Mittman, S. and Copenhagen, D. R.. Passiveelectrical cable properties and synaptic excitation of tigersalamander retinal ganglion cells. Visual Neuroscience13:979-990, 1996.

Tejada, J., Arisi, G. M., García-Cairasco, N. and Roque, A. C..Morphological alterations in newly born dentate gyrus granulecells that emerge after status epilepticus contribute to make themless excitable. PLoS ONE 7:e40726, 10.1371/journal.pone.0040726,2012.

Tejada, J., Garcia-Cairasco, N. and Roque, A. C.. Combined role ofseizure-induced dendritic morphology alterations and spine loss innewborn granule cells with mossy fiber sprouting on thehyperexcitability of a computer model of the dentate gyrus. PLoSComputational Biology 10:e1003601, 10.1371/journal.pcbi.1003601,2014.

Tejada, J. and Roque, A. C.. Conductance-based models and thefragmentation problem: a case study based on hippocampal CA1pyramidal cell models and epilepsy. Epilepsy & Behavior :106841,10.1016/j.yebeh.2019.106841, 2019.

Telenczuk, B., Telenczuk, M. and Destexhe, A.. A kernel-basedmethod to calculate local field potentials from networks ofspiking neurons. Journal of Neuroscience Methods 344:108871,10.1016/j.jneumeth.2020.108871, 2020.

Teleńczuk, M., Brette, R., Destexhe, A. and Teleńczuk, B..Contribution of the axon initial segment to action potentialsrecorded extracellularly. eNeuro 5:ENEURO.0068-18.201,10.1523/ENEURO.0068-18.2018, 2018.

Teleńczuk, M., Fontaine, B. and Brette, R.. The basis of sharpspike onset in standard biophysical models. PLoS ONE12:e0175362, 10.1371/journal.pone.0175362, 2017.

Teleńczuk, M., Teleńczuk, B. and Destexhe, A.. Modelling unitaryfields and the single-neuron contribution to local fieldpotentials in the hippocampus. Journal of Physiology10.1113/JP279452, 2020.

Tennøe, S., Halnes, G. and Einevoll, G. T.. Uncertainpy: a Pythontoolbox for uncertainty quantification and sensitivity analysis incomputational neuroscience. Frontiers in Neuroinformatics 12:49,10.3389/fninf.2018.00049, 2018.

Teplitzky, B. A., Connolly, A. T., Bajwa, J. A. and Johnson, M.D.. Computational modeling of an endovascular approach to deepbrain stimulation. Journal of Neural Engineering 11:026011,10.1088/1741-2560/11/2/026011, 2014.

Teplitzky, B. A., Zitella, L. M., Xiao, Y. and Johnson, M. D..Model-based comparison of deep brain stimulation arrayfunctionality with varying number of radial electrodes and machinelearning feature sets. Frontiers in Computational Neuroscience10:58, 10.3389/fncom.2016.00058, 2016.

Tesfayesus, W. and Durand, D. M.. Blind source separation ofperipheral nerve recordings. Journal of Neural Engineering4:S157-S167, 2007.

Thomas, E. A. and Petrou, S.. Network-specific mechanisms mayexplain the paradoxical effects of carbamazepine and phenytoin.Epilepsia 54:1195-1202, 10.1111/epi.12172, 2013.

Thomas, E. and Lytton, W. W.. Computer model of antiepilepticeffects mediated by alterations in GABA(A)-mediated inhibition.Neuroreport 9:691-696, 1998.

Thomas, M., Ranjith, G., Radhakrishnan, A. and Arun Anirudhan, V..Effects of HCN2 mutations on dendritic excitability and synapticplasticity: a computational study. Neuroscience 423:148-161,10.1016/j.neuroscience.2019.10.019, 2019.

Thome, C., Kelly, T., Yanez, A., Schultz, C., Engelhardt, M.,Cambridge, S. B., Both, M., Draguhn, A., Beck, H. and Egorov, A.V.. Axon-carrying dendrites convey privileged synaptic input inhippocampal neurons. Neuron 83:1418-1430,10.1016/j.neuron.2014.08.013, 2014.

Thompson, C. H., Ben-Shalom, R., Bender, K. J. and George, A. L..Alternative splicing potentiates dysfunction of early-onsetepileptic encephalopathy SCN2A variants. Journal of GeneralPhysiology 15210.1085/jgp.201912442, 2020.

Thomson, A. M. and Destexhe, A.. Dual intracellular recordings andcomputational models of slow inhibitory postsynaptic potentials inrat neocortical and hippocampal slices. Neuroscience92:1193-1215, 1999.

Thorbergsson, P. T., Garwicz, M., Schouenborg, J. and Johansson,A. J.. Computationally efficient simulation of extracellularrecordings with multielectrode arrays. Journal of NeuroscienceMethods 211:133-144, 10.1016/j.jneumeth.2012.08.011, 2012a.

Thorbergsson, P. T., Garwicz, M., Schouenborg, J. and Johansson,A. J.. Spike-feature based estimation of electrode position inextracellular neural recordings [Online]. IEEE Engineering inMedicine and Biology Society Proceedings 34:3380-3383,10.1109/EMBC.2012.6346690, 2012b.

Thorbergsson, P. T., Garwicz, M., Schouenborg, J. and Johansson,A. J.. Strategies for high-performance resource-efficientcompression of neural spike recordings. PLoS ONE 9:e93779,10.1371/journal.pone.0093779, 2014.

Thurbon, D., Lüscher, H.-R., Hofstetter, T. and Redman, S. J..Passive electrical properties of ventral horn neurons in ratspinal cord slices. Journal of Neurophysiology 80:2485-2502,1998.

Tiesinga, P. H. E., Fellous, J.-M., Jose, J. V. and Sejnowski, T.J.. Computational model of carbachol-induced delta, theta, andgamma oscillations in the hippocampus. Hippocampus 11:251-274,2001.

Tiganj, Z., Chevallier, S. and Monacelli, E.. Influence ofextracellular oscillations on neural communication: acomputational perspective. Frontiers in ComputationalNeuroscience 8:9, 10.3389/fncom.2014.00009, 2014.

Tigerholm, J., Börjesson, S. I., Lundberg, L., Elinder, F. andFransén, E.. Dampening of hyperexcitability in CA1 pyramidalneurons by polyunsaturated fatty acids acting on voltage-gated ionchannels. PLoS ONE 7:e44388, 10.1371/journal.pone.0044388, 2012.

Tigerholm, J. and Fransén, E.. Reversing nerve cell pathology byoptimizing modulatory action on target ion channels. BiophysicalJournal 101:1871-1879, 10.1016/j.bpj.2011.08.055, 2011.

Tigerholm, J., Hoberg, T. N., Brønnum, D., Vittinghus, M., Frahm,K. S. and Mørch, C. D.. Small and large cutaneous fibers displaydifferent excitability properties to slowly increasing ramppulses. Journal of Neurophysiology 124:883-894,10.1152/jn.00629.2019, 2020.

Tigerholm, J., Migliore, M. and Fransén, E.. Integration ofsynchronous synaptic input in CA1 pyramidal neuron depends onspatial and temporal distributions of the input. Hippocampus23:87-99, 10.1002/hipo.22061, 2013.

Tigerholm, J., Petersson, M. E., Obreja, O., Lampert, A., Carr,R., Schmelz, M. and Fransén, E.. Modeling activity-dependentchanges of axonal spike conduction in primary afferentC-nociceptors. Journal of Neurophysiology 111:1721-1735,10.1152/jn.00777.2012, 2014.

Tigerholm, J., Poulsen, A. H., Andersen, O. K. and Mørch, C. D..From perception threshold to ion channels–a computational study.Biophysical Journal 117:281-295, 10.1016/j.bpj.2019.04.041,2019.

Tikidji-Hamburyan, R. A. and Canavier, C. C.. Shunting inhibitionimproves synchronization in heterogeneous inhibitory interneuronalnetworks with type 1 excitability whereas hyperpolarizinginhibition is better for type 2 excitability. eNeuro710.1523/ENEURO.0464-19.2020, 2020.

Tikidji-Hamburyan, R. A., Leonik, C. A. and Canavier, C. C.. Phaseresponse theory explains cluster formation in sparsely butstrongly connected inhibitory neural networks and effects ofjitter due to sparse connectivity. Journal of Neurophysiology121:1125-1142, 10.1152/jn.00728.2018, 2019.

Tikidji-Hamburyan, R. A., Martínez, J. J., White, J. A. andCanavier, C. C.. Resonant interneurons can increase robustness ofgamma oscillations. Journal of Neuroscience 35:15682-15695,10.1523/JNEUROSCI.2601-15.2015, 2015.

Tikidji-Hamburyan, R. A., Narayana, V., Bozkus, Z. and El-Ghazawi,T. A.. Software for brain network simulations: a comparativestudy. Frontiers in Neuroinformatics 11:46,10.3389/fninf.2017.00046, 2017.

Timofeeva, Y., Cox, S. J., Coombes, S. and Josi?, K..Democratization in a passive dendritic tree: an analyticalinvestigation.. Journal of Computational Neuroscience25:228-244, 10.1007/s10827-008-0075-9, 2008.

Timofeeva, Y., Lord, G. J. and Coombes, S.. Dendritic cable withactive spines: a modelling study in the spike-diffuse-spikeframework. Neurocomputing 69:1058-1061, 2006a.

Timofeeva, Y., Lord, G. J. and Coombes, S.. Spatio-temporalfiltering properties of a dendritic cable with active spines: Amodeling study in the spike-diffuse-spike framework. Journal ofComputational Neuroscience 21:293-306, 2006b.

Timofeeva, Y. and Volynski, K. E.. Calmodulin as a major calciumbuffer shaping vesicular release and short-term synapticplasticity: facilitation through buffer dislocation. Frontiers inCellular Neuroscience 9:239, 10.3389/fncel.2015.00239, 2015.

Tingley, D. and Buzsáki, G.. Transformation of a spatial mapacross the hippocampal-lateral septal circuit. Neuron98:1229-1242.e5, 10.1016/j.neuron.2018.04.028, 2018.

Tingley, D. and Buzsáki, G.. Routing of hippocampal ripples tosubcortical structures via the lateral septum. Neuron105:138-149.e5, 10.1016/j.neuron.2019.10.012, 2020.

Tissone, A. I., Vidal, V. B., Nadal, M. S., Mato, G. and Amarillo,Y.. Differential contribution of the subthreshold operatingcurrents IT, Ih, and IKir to the resonance of thalamocorticalneurons. Journal of Neurophysiology 126:561-574,10.1152/jn.00147.2021, 2021.

Tobin, W. F., Wilson, R. I. and Lee, W.-C. A.. Wiring variationsthat enable and constrain neural computation in a sensorymicrocircuit. eLife 6:e24838, 10.7554/eLife.24838, 2017.

Toloza, E. H. S., Negahbani, E. and Fröhlich, F.. Ih interactswith somato-dendritic structure to determine frequency response toweak alternating electric field stimulation. Journal ofNeurophysiology 119:1029-1036, 10.1152/jn.00541.2017, 2018.

Tominaga, Y., Ichikawa, M. and Tominaga, T.. Membrane potentialresponse profiles of CA1 pyramidal cells probed withvoltage-sensitive dye optical imaging in rat hippocampal slicesreveal the impact of GABA(A)-mediated feed-forward inhibition insignal propagation. Neuroscience Research 64:152-161, 2009.

Tomko, M., Benuskova, L. and Jedlicka, P.. A newreduced-morphology model for CA1 pyramidal cells and itsvalidation and comparison with other models using HippoUnit.Scientific Reports 11:7615, 10.1038/s41598-021-87002-7, 2021.

Tomko, M., Jedlička, P. and Beňušková, L.. Meta-STDP rulestabilizes synaptic weights under in vivo-like ongoing spontaneousactivity in a computational model of CA1 pyramidal cell [Online].Artificial Neural Networks and Machine Learning – ICANN 2020:670-680, 2020.

Tomsett, R. J., Ainsworth, M., Thiele, A., Sanayei, M., Chen, X.,Gieselmann, M. A., Whittington, M. A., Cunningham, M. O. andKaiser, M.. Virtual Electrode Recording Tool for EXtracellularpotentials (VERTEX): comparing multi-electrode recordings fromsimulated and biological mammalian cortical tissue. BrainStructure and Function 220:2333-2353, 10.1007/s00429-014-0793-x,2015.

Toporikova, N. and Chacron, M. J.. SK channels gate informationprocessing in vivo by regulating an intrinsic bursting mechanismseen in vitro.. Journal of Neurophysiology 102:2273-2287,10.1152/jn.00282.2009, 2009.

Toporikova, N., Tsao, T.-H., Wright, Jr., T. M. and Butera, Jr.,R. J.. Conflicting effects of excitatory synaptic and electriccoupling on the dynamics of square-wave bursters. Journal ofComputational Neuroscience 31:701-711, 10.1007/s10827-011-0340-1,2011.

Torben-Nielsen, B., Segev, I. and Yarom, Y.. The generation ofphase differences and frequency changes in a network model ofinferior olive subthreshold oscillations. PLoS ComputationalBiology 8:e1002580, 10.1371/journal.pcbi.1002580, 2012.

Torben-Nielsen, B. and Stiefel, K. M.. An inverse approach forelucidating dendritic function. Frontiers in ComputationalNeuroscience 4:128, 10.3389/fncom.2010.00128, 2010a.

Torben-Nielsen, B. and Stiefel, K. M.. Wide-field motionintegration in fly VS cells: insights from an inverse approach.PLoS Computational Biology 6:e1000932,10.1371/journal.pcbi.1000932, 2010b.

Tort, A. B. L., Rotstein, H. G., Dugladze, T., Gloveli, T. andKopell, N. J.. On the formation of gamma-coherent cell assembliesby oriens lacunosum-moleculare interneurons in the hippocampus.Proceedings of the National Academy of Sciences of the UnitedStates of America 104:13490-13495, 2007.

Toth, T. I. and Crunelli, V.. Solution of the nerve cable equationusing Chebyshev approximations. Journal of Neuroscience Methods87:119-136, 1999.

Traboulsie, A., Chemin, J., Chevalier, M., Quignard, J. F.,Nargeot, J. and Lory, P.. Subunit-specific modulation of T-typecalcium channels by zinc. Journal of Physiology 578:159-171,2007.

Traboulsie, A., Chemin, J., Kupfer, E., Nargeot, J. and Lory, P..T-type calcium channels are inhibited by fluoxetine and itsmetabolite norfluoxetine. Molecular Pharmacology 69:1963-1968,2006.

Tran, H., Ranta, R., Le Cam, S. and Louis-Dorr, V.. Fastsimulation of extracellular action potential signatures based on amorphological filtering approximation. Journal of ComputationalNeuroscience 48:27-46, 10.1007/s10827-019-00735-3, 2020.

Tran, H., Shirinpour, S. and Opitz, A.. Effects of transcranialalternating current stimulation on spiking activity incomputational models of single neocortical neurons. NeuroImage250:118953, 10.1016/j.neuroimage.2022.118953, 2022.

Tran-Van-Minh, A., Abrahamsson, T., Cathala, L. and DiGregorio, D.A.. Differential dendritic integration of synaptic potentials andcalcium in cerebellar interneurons. Neuron 91:837-850,10.1016/j.neuron.2016.07.029, 2016.

Trapani, A., Antonietti, A., Naldi, G., D’Angelo, E. andPedrocchi, A.. Production and diffusion model of Nitric Oxide forbioinspired spiking neural networks [Online]. Proc. 10th Int.IEEE/EMBS Conf. Neural Engineering :457-460,10.1109/NER49283.2021.9441383, 2021.

Traynelis, S. F., Silver, R. A. and Cull-Candy, S. G.. Estimatedconductance of glutamate receptor channels activated during epscsat the cerebellar mossy fiber-granule cell synapse. Neuron11:279-289, 1993.

Trevelyan, A. J. and Watkinson, O.. Does inhibition balanceexcitation in neocortex?. Progress in Biophysics and MolecularBiology 87:109-143, 2005.

Triesch, J., Zrenner, C. and Ziemann, U.. Modeling TMS-inducedI-waves in human motor cortex. Progress in Brain Research222:105-124, 10.1016/bs.pbr.2015.07.001, 2015.

Tsai, D., Chen, S., Protti, D. A., Morley, J. W., Suaning, G. J.and Lovell, N. H.. Responses of retinal ganglion cells toextracellular electrical stimulation, from single cell topopulation: model-based analysis. PLoS ONE 7:e53357,10.1371/journal.pone.0053357, 2012.

Tsai, D., Morley, J. W., Suaning, G. J. and Lovell, N. H.. Surveyof electrically evoked responses in the retina - stimuluspreferences and oscillation among neurons. Scientific Reports7:13802, 10.1038/s41598-017-14357-1, 2017.

Tsai, K. Y., Carnevale, N. T. and Brown, T. H.. Hebbian learningis jointly controlled by electrotonic and input structure.Network 5:1-19, 1994a.

Tsai, K. Y., Carnevale, N. T., Claiborne, B. J. and Brown, T. H..Efficient mapping from neuroanatomical to electrotonic space.Network 5:21-46, 1994b.

Tsanov, M., Chah, E., Noor, M. S., Egan, C., Reilly, R. B.,Aggleton, J. P., Erichsen, J. T., Vann, S. D. and O’Mara, S. M..The irregular firing properties of thalamic head direction cellsmediate turn-specific modulation of the directional tuning curve.Journal of Neurophysiology 112:2316-2331, 10.1152/jn.00583.2013,2014.

Tsay, D., Dudman, J. T. and Siegelbaum, S. A.. HCN1 channelsconstrain synaptically evoked Ca2+ spikes in distal dendrites ofCA1 pyramidal neurons. Neuron 56:1076-1089,10.1016/j.neuron.2007.11.015, 2007.

Tsay, D. and Yuste, R.. Role of dendritic spines in actionpotential backpropagation: a numerical simulation study. Journalof Neurophysiology 88:2834-2845, 2002.

Tscherter, A., David, F., Ivanova, T., Deleuze, C., Renger, J. J.,Uebele, V. N., Shin, H.-S., Bal, T., Leresche, N. and Lambert, R.C.. Minimal alterations in T-type calcium channel gating markedlymodify physiological firing dynamics. Journal of Physiology589:1707-1724, 10.1113/jphysiol.2010.203836, 2011.

Tseng, S. H., Tsai, L. Y. and Yeh, S. R.. Induction ofhigh-frequency oscillations in a junction-coupled network.Journal of Neuroscience 28:7165-7173, 2008.

Tsuchitani, C.. Input from the medial nucleus of trapezoid body toan interaural level detector. Hearing Research 105:211-224,1997.

Tsutsui, H. and Oka, Y.. Effects of characteristic dendritic tipgeometry on the electrical properties of teleost thalamic neurons.Journal of Neurophysiology 85:2289-2292, 2001.

Tsutsui, H. and Oka, Y.. Slow removal of Na+ channel inactivationunderlies the temporal filtering property in the teleost thalamicneurons. Journal of Physiology 539:743-753, 2002.

Tucker, K. R., Huertas, M. A., Horn, J. P., Canavier, C. C. andLevitan, E. S.. Pacemaker rate and depolarization block in nigraldopamine neurons: a somatic sodium channel balancing act. Journalof Neuroscience 32:14519-14531, 10.1523/JNEUROSCI.1251-12.2012,2012.

Tucker, T. R. and Katz, L. C.. Recruitment of local inhibitorynetworks by horizontal connections in layer 2/3 of ferret visualcortex. Journal of Neurophysiology 89:501-512, 2003.

Tumulty, J. S., Royster, M. and Cruz, L.. Columnar groupingpreserves synchronization in neuronal networks withdistance-dependent time delays. Physical Review E 101:022408,10.1103/PhysRevE.101.022408, 2020.

Turi, G. F., Li, W.-K., Chavlis, S., Pandi, I., O’Hare, J.,Priestley, J. B., Grosmark, A. D., Liao, Z., Ladow, M., Zhang, J.F., Zemelman, B. V., Poirazi, P. and Losonczy, A.. Vasoactiveintestinal polypeptide-expressing interneurons in the hippocampussupport goal-oriented spatial learning. Neuron 101:1150-1165.e8,10.1016/j.neuron.2019.01.009, 2019.

Tyurikova, O., Shih, P.-Y., Dembitskaya, Y., Savtchenko, L. P.,McHugh, T. J., Rusakov, D. A. and Semyanov, A.. K+ efflux throughpostsynaptic NMDA receptors suppresses local astrocytic glutamateuptake. Glia 10.1002/glia.24150, 2022.

Tzilivaki, A., Kastellakis, G. and Poirazi, P.. Challenging thepoint neuron dogma: FS basket cells as 2-stage nonlinearintegrators. Nature Communications 10:3664,10.1038/s41467-019-11537-7, 2019.

Uebachs, M., Opitz, T., Royeck, M., Dickhof, G., Horstmann, M.-T.,Isom, L. L. and Beck, H.. Efficacy loss of the anticonvulsantcarbamazepine in mice lacking sodium channel beta subunits viaparadoxical effects on persistent sodium currents. Journal ofNeuroscience 30:8489-8501, 10.1523/JNEUROSCI.1534-10.2010, 2010.

Uhlirova, H., Kılıç, K., Tian, P., Thunemann, M., Desjardins, M.,Saisan, P. A., Sakadžić, S., Ness, T. V., Mateo, C., Cheng, Q.,Weldy, K. L., Razoux, F., Vandenberghe, M., Cremonesi, J. A.,Ferri, C. G., Nizar, K., Sridhar, V. B., Steed, T. C., Abashin,M., Fainman, Y., Masliah, E., Djurovic, S., Andreassen, O. A.,Silva, G. A., Boas, D. A., Kleinfeld, D., Buxton, R. B., Einevoll,G. T., Dale, A. M. and Devor, A.. Cell type specificity ofneurovascular coupling in cerebral cortex. eLife 5:e14315,10.7554/eLife.14315, 2016.

Ujfalussy, B. B., Makara, J. K., Lengyel, M. and Branco, T..Global and multiplexed dendritic computations under invivo-likeconditions. Neuron 100:579-592.e5, 10.1016/j.neuron.2018.08.032,2018.

Ullman, S., Roth, A., Thomson, A. and Linne, M. L.. Crete,channels, cells, circuits and computers. Trends in Neurosciences20:53-54, 1997.

Urakubo, H., Aihara, T., Kuroda, S., Watanabe, M. and Kondo, S..Spatial localization of synapses required for supralinearsummation of action potentials and EPSPs. Journal ofComputational Neuroscience 16:251-265, 2004.

Urban, N. N. and Castro, J. B.. Tuft calcium spikes in accessoryolfactory bulb mitral cells. Journal of Neuroscience25:5024-5028, 2005.

Vabnick, I., Trimmer, J. S., Schwarz, T. L., Levinson, S. R.,Risal, D. and Shrager, P.. Dynamic potassium channel distributionsduring axonal development prevent aberrant firing patterns.Journal of Neuroscience 19:747-758, 1999.

Valente, P., Romei, A., Fadda, M., Sterlini, B., Lonardoni, D.,Forte, N., Fruscione, F., Castroflorio, E., Michetti, C.,Giansante, G., Valtorta, F., Tsai, J.-W., Zara, F., Nieus, T.,Corradi, A., Fassio, A., Baldelli, P. and Benfenati, F..Constitutive inactivation of the PRRT2 gene alters short-termsynaptic plasticity and promotes network hyperexcitability inhippocampal neurons. Cerebral Cortex 29:2010-2033,10.1093/cercor/bhy079, 2018.

Van de Steene, T., Tanghe, E., Tarnaud, T., Kampusch, S.,Kaniusas, E., Martens, L., Van Holen, R. and Joseph, W..Sensitivity study of neuronal excitation and cathodal blockingthresholds of myelinated axons for percutaneous auricular vagusnerve stimulation. IEEE Transactions on Bio-Medical Engineering67:3276-3287, 10.1109/TBME.2020.2982271, 2020.

Van Geit, W., Gevaert, M., Chindemi, G., Rössert, C., Courcol,J.-D., Muller, E. B., Schürmann, F., Segev, I. and Markram, H..BluePyOpt: leveraging open source software and cloudinfrastructure to optimise model parameters in neuroscience.Frontiers in Neuroinformatics 10:17, 10.3389/fninf.2016.00017,2016.

Varela, J. A., Wang, J., Christianson, J. P., Maier, S. F. andCooper, D. C.. Control over stress, but not stress per seincreases prefrontal cortical pyramidal neuron excitability.Journal of Neuroscience 32:12848-12853,10.1523/JNEUROSCI.2669-12.2012, 2012.

Vasilkov, V. A. and Tikidji-Hamburyan, R. A.. Accurate detectionof interaural time differences by a population of slowlyintegrating neurons. Physical Review Letters 108:138104,10.1103/PhysRevLett.108.138104, 2012.

Vazquez, Y., Mendez, B., Trueta, C. and De-Miguel, F. F..Summation of excitatory postsynaptic potentials inelectrically-coupled neurones. Neuroscience 163:202-212, 2009.

van der Velden, L., van Hooft, J. A. and Chameau, P.. Altereddendritic complexity affects firing properties of cortical layer2/3 pyramidal neurons in mice lacking the 5-HT3A receptor.Journal of Neurophysiology 108:1521-1528, 10.1152/jn.00829.2011,2012.

Veletic, M., Floor, P. A., Babic, Z. and Balasingham, I..Peer-to-peer communication in neuronal nano-network. IEEETransactions on Communications 64:1153-1166, 2016.

Velte, T. J. and Miller, R. F.. Computer simulations of voltageclamping retinal ganglion cells through whole-cell electrodes inthe soma. Journal of Neurophysiology 75:2129-2143, 1996.

Velte, T. J. and Miller, R. F.. Spiking and nonspiking models ofstarburst amacrine cells in the rabbit retina. VisualNeuroscience 14:1073-1088, 1997.

Velte, T. J., Yu, W. and Miller, R. F.. Estimating thecontributions of NMDA and non-NMDA currents to EPSPs in retinalganglion cells. Visual Neuroscience 14:999-1014, 1997.

Venkadesh, S., Komendantov, A. O., Wheeler, D. W., Hamilton, D. J.and Ascoli, G. A.. Simple models of quantitative firing phenotypesin hippocampal neurons: comprehensive coverage of intrinsicdiversity. PLoS Computational Biology 15:e1007462,10.1371/journal.pcbi.1007462, 2019.

Vera, J., Pezzoli, M., Pereira, U., Bacigalupo, J. and Sanhueza,M.. Electrical resonance in the θ frequency range in olfactoryamygdala neurons. PLoS ONE 9:e85826,10.1371/journal.pone.0085826, 2014.

Verbist, C., Müller, M. G., Mansvelder, H. D., Legenstein, R. andGiugliano, M.. The location of the axon initial segment affectsthe bandwidth of spike initiation dynamics. PLoS ComputationalBiology 16:e1008087, 10.1371/journal.pcbi.1008087, 2020.

Verma, N., Graham, R. D., Mudge, J., Trevathan, J. K., Franke, M.,Shoffstall, A. J., Williams, J., Dalrymple, A. N., Fisher, L. E.,Weber, D. J., Lempka, S. F. and Ludwig, K. A.. Augmentedtranscutaneous stimulation using an injectable electrode: acomputational study. Frontiers in Bioengineering andBiotechnology 9:796042, 10.3389/fbioe.2021.796042, 2021.

Veruki, M. L., Oltedal, L. and Hartveit, E.. Electrical synapsesbetween AII amacrine cells: dynamic range and functionalconsequences of variation in junctional conductance. Journal ofNeurophysiology 100:3305-3322, 2008.

Vervaeke, K., Lorincz, A., Gleeson, P., Farinella, M., Nusser, Z.and Silver, R. A.. Rapid desynchronization of an electricallycoupled interneuron network with sparse excitatory synaptic input.Neuron 67:435-451, 10.1016/j.neuron.2010.06.028, 2010.

Vervaeke, K., Lorincz, A., Nusser, Z. and Silver, R. A.. Gapjunctions compensate for sublinear dendritic integration in aninhibitory network. Science 335:1624-1628,10.1126/science.1215101, 2012.

Vetter, P., Roth, A. and Häusser, M.. Propagation of actionpotentials in dendrites depends on dendritic morphology. Journalof Neurophysiology 85:926-937, 2001.

Vida, I., Bartos, M. and Jonas, P.. Shunting inhibition improvesrobustness of gamma oscillations in hippocampal interneuronnetworks by hom*ogenizing firing rates. Neuron 49:107-117, 2006.

Vierling-Claassen, D., Cardin, J. A., Moore, C. I. and Jones, S.R.. Computational modeling of distinct neocortical oscillationsdriven by cell-type selective optogenetic drive: separableresonant circuits controlled by low-threshold spiking andfast-spiking interneurons.. Frontiers in Human Neuroscience4:198, 10.3389/fnhum.2010.00198, 2010.

Vitale, P., Salgueiro-Pereira, A. R., Lupascu, C. A., Willem, M.,Migliore, R., Migliore, M. and Marie, H.. Analysis ofa*ge-dependent alterations in excitability properties of CA1pyramidal neurons in an APPPS1 model of Alzheimer’s disease.Frontiers in Aging Neuroscience 13:668948,10.3389/fnagi.2021.668948, 2021.

Vitko, I., Chen, Y. C., Arias, J. M., Shen, Y., Wu, X. R. andPerez-Reyes, E.. Functional characterization and neuronal modelingof the effects of childhood absence epilepsy variants of CACNA1H,a T-type calcium channel. Journal of Neuroscience 25:4844-4855,2005.

Vlachos, A., Becker, D., Jedlicka, P., Winkels, R., Roeper, J. andDeller, T.. Entorhinal denervation induces homeostatic synapticscaling of excitatory postsynapses of dentate granule cells inmouse organotypic slice cultures. PLoS ONE 7:e32883,10.1371/journal.pone.0032883, 2012.

Vladimirov, N., Tu, Y. and Traub, R. D.. Shortest loops arepacemakers in random networks of electrically coupled axons.Frontiers in Computational Neuroscience 6:17,10.3389/fncom.2012.00017, 2012.

Vladimirov, N., Tu, Y. and Traub, R. D.. Synaptic gating at axonalbranches, and sharp-wave ripples with replay: a simulation study.European Journal of Neuroscience 38:3435-3447,10.1111/ejn.12342, 2013.

Vlasits, A. L., Morrie, R. D., Tran-Van-Minh, A., Bleckert, A.,Gainer, C. F., DiGregorio, D. A. and Feller, M. B.. A role forsynaptic input distribution in a dendritic computation of motiondirection in the retina. Neuron 89:1317-1330,10.1016/j.neuron.2016.02.020, 2016.

Volk, V. L., Hamilton, L. D., Hume, D. R., Shelburne, K. B. andFitzpatrick, C. K.. Integration of neural architecture within afinite element framework for improved neuromusculoskeletalmodeling. Scientific Reports 11:22983,10.1038/s41598-021-02298-9, 2021.

Volman, V., Levine, H., Ben-Jacob, E. and Sejnowski, T. J..Locally balanced dendritic integration by short-term synapticplasticity and active dendritic conductances. Journal ofNeurophysiology 102:3234-3250, 10.1152/jn.00260.2009, 2009.

Volman, V. and Ng, L. J.. Computer modeling of mild axonal injury:implications for axonal signal transmission. Neural Computation25:2646-2681, 10.1162/NECO_a_00491, 2013.

Volman, V. and Ng, L. J.. Primary paranode demyelination modulatesslowly developing axonal depolarization in a model of axonalinjury. Journal of Computational Neuroscience 37:439 - 457,10.1007/s10827-014-0515-7, 2014.

Volman, V. and Ng, L. J.. Perinodal glial swelling mitigatesaxonal degradation in a model of axonal injury. Journal ofNeurophysiology 115:1003-1017, 10.1152/jn.00912.2015, 2016.

Vyleta, N. P. and Jonas, P.. Loose coupling between Ca2+ channelsand release sensors at a plastic hippocampal synapse. Science343:665-670, 10.1126/science.1244811, 2014.

Wagner, F. B., Mignardot, J.-B., Le Goff-Mignardot, C. G.,Demesmaeker, R., Komi, S., Capogrosso, M., Rowald, A., Seáñez, I.,Caban, M., Pirondini, E., Vat, M., McCracken, L. A., Heimgartner,R., Fodor, I., Watrin, A., Seguin, P., Paoles, E., Van Den Keybus,K., Eberle, G., Schurch, B., Pralong, E., Becce, F., Prior, J.,Buse, N., Buschman, R., Neufeld, E., Kuster, N., Carda, S., vonZitzewitz, J., Delattre, V., Denison, T., Lambert, H., Minassian,K., Bloch, J. and Courtine, G.. Targeted neurotechnology restoreswalking in humans with spinal cord injury. Nature 563:65-71,10.1038/s41586-018-0649-2, 2018.

Walckiers, G., Fuchs, B., Thiran, J.-P., Mosig, J. R. and Pollo,C.. Influence of the implanted pulse generator as referenceelectrode in finite element model of monopolar deep brainstimulation. Journal of Neuroscience Methods 186:90-96,10.1016/j.jneumeth.2009.10.012, 2010.

Walsh, D. M., Landman, K. A. and Hughes, B. D.. What is theoptimal distribution of myelin along a single axon?. NeuroscienceLetters 658:97-101, 10.1016/j.neulet.2017.08.037, 2017.

Wang, B., Aberra, A. S., Grill, W. M. and Peterchev, A. V..Modified cable equation incorporating transverse polarization ofneuronal membranes for accurate coupling of electric fields.Journal of Neural Engineering 15:026003,10.1088/1741-2552/aa8b7c, 2018.

Wang, H.-P., Garcia, J. W., Sabottke, C. F., Spencer, D. J. andSejnowski, T. J.. Feedforward thalamocortical connectivitypreserves stimulus timing information in sensory pathways.Journal of Neuroscience 39:7674-7688,10.1523/JNEUROSCI.3165-17.2019, 2019.

Wang, H.-P., Spencer, D., Fellous, J.-M. and Sejnowski, T. J..Synchrony of thalamocortical inputs maximizes corticalreliability. Science 328:106-109, 10.1126/science.1183108, 2010.

Wang, H.-S. and McKinnon, D.. Potassium currents in ratprevertebral and paravertebral sympathetic neurones: control offiring properties. Journal of Physiology 485:319-335, 1995.

Wang, J., Chen, S., Nolan, M. F. and Siegelbaum, S. A..Activity-dependent regulation of HCN pacemaker channels by cyclicAMP: signaling through dynamic allosteric coupling. Neuron36:451-461, 2002a.

Wang, J., Liu, S., Wang, H., Ju, N. and Zeng, Y.. A model-basedanalysis of physiological properties of the striatal medium spinyneuron. Neurological Research 37:1074-1081,10.1080/01616412.2015.1110304, 2015.

Wang, K., Riera, J., Enjieu-Kadji, H. and Kawashima, R.. The roleof extracellular conductivity profiles in compartmental models forneurons: particulars for layer 5 pyramidal cells.. NeuralComputation 25:1807-1852, 10.1162/NECO_a_00458, 2013.

Wang, L. and Colburn, H. S.. A modeling study of the responses ofthe lateral superior olive to ipsilateral sinusoidallyamplitude-modulated tones. Journal of the Association forResearch in Otolaryngology 13:249-267, 10.1007/s10162-011-0300-5,2012.

Wang, L., Devore, S., Delgutte, B. and Colburn, H. S.. Dualsensitivity of inferior colliculus neurons to ITD in the envelopesof high-frequency sounds: experimental and modeling study.Journal of Neurophysiology 111:164-181, 10.1152/jn.00450.2013,2014a.

Wang, L., Liu, S. and Ou, S.. Numerical simulation of neuronalspike patterns in a retinal network model. Neural RegenerationResearch 6:1254-1260, 10.3969/j.issn.1673-5374.2011.16.010, 2011.

Wang, L. and Liu, S.-Q.. Neural circuit and its functional rolesin cerebellar cortex. Neuroscience Bulletin 27:173-184,10.1007/s12264-011-1044-2, 2011.

Wang, X.-D., Hao, J., Poo, M.-M. and Zhang, X.-H.. How does aneuron perform subtraction? Arithmetic rules of synapticintegration of excitation and inhibition. In: Advances in NeuralNetworks - ISNN 2006, edited by Wang, J., Yi, Z., Zurada, J., Lu,B.-L. and Yin, H.. Springer Berlin Heidelberg, 2006, pp. 7-14.

Wang, X.-L., Jiang, X.-D. and Liang, P.-J.. Intracellular calciumconcentration changes initiated by N-methyl-D-aspartic acidreceptors in retinal horizontal cells. Neuroreport 19:675-678,2008.

Wang, Y., Toprani, S., Tang, Y., Vrabec, T. and Durand, D. M..Mechanism of highly synchronized bilateral hippocampal activity.Experimental Neurology 251:101-111,10.1016/j.expneurol.2013.11.014, 2014b.

Wang, Z., Song, D. and Berger, T. W.. Contribution of NMDAreceptor channels to the expression of LTP in the hippocampaldentate gyrus. Hippocampus 12:680-688, 2002b.

Warashina, A.. Mode of mitochondrial Ca2+ clearance and itsinfluence on secretory responses in stimulated chromaffin cells.Cell Calcium 39:35-46, 2006.

Warashina, A. and Ogura, T.. Modeling of stimulation-secretioncoupling in a chromaffin cell. Pflügers Archiv-European Journalof Physiology 448:161-174, 2004.

Watanabe, S., Hoffman, D. A., Migliore, M. and Johnston, D..Dendritic K+ channels contribute to spike-timing dependentlong-term potentiation in hippocampal pyramidal neurons.Proceedings of the National Academy of Sciences of the UnitedStates of America 99:8366-8371, 2002.

Watanabe, T., Shimazaki, T. and Oda, Y.. Coordinated expression oftwo types of low-threshold K+ channels establishes unique singlespiking of Mauthner cells among segmentally hom*ologous neurons inthe zebrafish hindbrain. eNeuro 4:ENEURO.0249-17.2017,10.1523/ENEURO.0249-17.2017, 2017.

Waters, J. and Helmchen, F.. Background synaptic activity issparse in neocortex. Journal of Neuroscience 26:8267-8277, 2006.

Wathey, J. C., Lytton, W. W., Jester, J. M. and Sejnowski, T. J..Computer simulations of EPSP-spike (E-S) potentiation inhippocampal CA1 pyramidal cells. Journal of Neuroscience12:607-618, 1992.

Weaver, C. M. and Wearne, S. L.. The role of action potentialshape and parameter constraints in optimization of compartmentmodels. Neurocomputing 69:1053-1057, 2006.

Weaver, C. M. and Wearne, S. L.. Neuronal firing sensitivity tomorphologic and active membrane parameters. PLoS ComputationalBiology 4:e11, 10.1371/journal.pcbi.0040011.eor, 2008.

Weber, F., Eichner, H., c*ntz, H. and Borst, A.. Eigenanalysis ofa neural network for optic flow processing. New Journal ofPhysics 10:015013, 2008.

Wefelmeyer, W., Cattaert, D. and Burrone, J.. Activity-dependentmismatch between axo-axonic synapses and the axon initial segmentcontrols neuronal output. Proceedings of the National Academy ofSciences of the United States of America 112:9757-9762,10.1073/pnas.1502902112, 2015.

Wehr, M. and Zador, A. M.. Balanced inhibition underlies tuningand sharpens spike timing in auditory cortex. Nature426:442-446, 10.1038/nature02116, 2003.

Wei, X. F. and Grill, W. M.. Analysis of high-perimeter planarelectrodes for efficient neural stimulation.. Frontiers inNeuroengineering 2:15, 10.3389/neuro.16.015.2009, 2009.

Weidel, P., Djurfeldt, M., Duarte, R. C. and Morrison, A.. Closedloop interactions between spiking neural network and roboticsimulators based on MUSIC and ROS. Frontiers in Neuroinformatics10:31, 10.3389/fninf.2016.00031, 2016.

Weissler, Y., Farah, N. and Shoham, S.. Simulation ofmorphologically structured photo-thermal neural stimulation.Journal of Neural Engineering 14:055001,10.1088/1741-2552/aa7805, 2017.

Weisz, C. J. C., Glowatzki, E. and Fuchs, P. A.. Excitability oftype II cochlear afferents. Journal of Neuroscience34:2365-2373, 10.1523/JNEUROSCI.3428-13.2014, 2014.

Welday, A. C., Shlifer, I. G., Bloom, M. L., Zhang, K. and Blair,H. T.. Cosine directional tuning of theta cell burst frequencies:evidence for spatial coding by oscillatory interference. Journalof Neuroscience 31:16157-16176, 10.1523/JNEUROSCI.0712-11.2011,2011.

van Welie, I., Remme, M. W., van Hooft, J. A. and Wadman, W. J..Different levels of Ih determine distinct temporal integration inbursting and regular-spiking neurons in rat subiculum. Journal ofPhysiology 576:203-214, 2006.

Wenger, C., Paredes, L. and Rattay, F.. Current-distance relationsfor microelectrode stimulation of pyramidal cell. ArtificialOrgans 35:263-266, 10.1111/j.1525-1594.2011.01224.x, 2011.

Wenning, G., Hoch, T. and Obermayer, K.. Detection of pulses in acolored noise setting. Physical Review E 71:021902, 2005.

Wenning, G. and Obermayer, K.. Activity driven adaptive stochasticresonance. Physical Review Letters 90:120602, 2003.

Wester, J. C. and Contreras, D.. Biophysical mechanism of spikethreshold dependence on the rate of rise of the membrane potentialby sodium channel inactivation or subthreshold axonal potassiumcurrent. Journal of Computational Neuroscience 35:1-17,10.1007/s10827-012-0436-2, 2013.

Wetmore, D. Z., Mukamel, E. A. and Schnitzer, M. J.. Lock-and-keymechanisms of cerebellar memory recall based on rebound currents.Journal of Neurophysiology 100:2328-2347, 2008.

de Wiljes, O. O., van Elburg, R. A. J., Biehl, M. and Keijzer, F.A.. Modeling spontaneous activity across an excitable epithelium:support for a coordination scenario of early neural evolution.Frontiers in Computational Neuroscience 9:110,10.3389/fncom.2015.00110, 2015.

Williams, M. R., DeSpenza, Jr, T., Li, M., Gulledge, A. T. andLuikart, B. W.. Hyperactivity of newborn Pten knock-out neuronsresults from increased excitatory synaptic drive. Journal ofNeuroscience 35:943-959, 10.1523/JNEUROSCI.3144-14.2015, 2015.

Williams, S. R. and Stuart, G. J.. Dependence of EPSP efficacy onsynapse location in neocortical pyramidal neurons. Science295:1907-1910, 2002.

Williams, S. R. and Stuart, G. J.. Role of dendritic synapselocation in the control of action potential output. Trends inNeurosciences 26:147-154, 2003.

Wilmes, K. A., Schleimer, J.-H. and Schreiber, S.. Spike-timingdependent inhibitory plasticity to learn a selective gating ofbackpropagating action potentials. European Journal ofNeuroscience 45:1032-1043, 10.1111/ejn.13326, 2017.

Wilmes, K. A., Sprekeler, H. and Schreiber, S.. Inhibition as abinary switch for excitatory plasticity in pyramidal neurons.PLoS Computational Biology 12:e1004768,10.1371/journal.pcbi.1004768, 2016.

Wimmer, V. C., Reid, C. A., Mitchell, S., Richards, K. L., Scaf,B. B., Leaw, B. T., Hill, E. L., Royeck, M., Horstmann, M.-T.,Cromer, B. A., Davies, P. J., Xu, R., Lerche, H., Berkovic, S. F.,Beck, H. and Petrou, S.. Axon initial segment dysfunction in amouse model of genetic epilepsy with febrile seizures plus.Journal of Clinical Investigation 120:2661-2671,10.1172/JCI42219, 2010.

Winkels, R., Jedlicka, P., Weise, F. K., Schultz, C., Deller, T.and Schwarzacher, S. W.. Reduced excitability in the dentate gyrusnetwork of betaIV-spectrin mutant. Hippocampus 19:677-686, 2009.

Winograd, M., Destexhe, A. and Sanchez-Vives, M. V..Hyperpolarization-activated graded persistent activity in theprefrontal cortex. Proceedings of the National Academy ofSciences of the United States of America 105:7298-7303, 2008.

Winslow, J. L., Jou, S. E., Wang, S. and Wojtowicz, J. M.. Signalsin stochastically generated neurons. Journal of ComputationalNeuroscience 6:5-26, 1999.

Winters, B. D., Jin, S.-X., Ledford, K. R. and Golding, N. L..Amplitude normalization of dendritic epsps at the soma of binauralcoincidence detector neurons of the medial superior olive.Journal of Neuroscience 37:3138-3149,10.1523/JNEUROSCI.3110-16.2017, 2017.

Wissmann, R., Bildl, W., Oliver, D., Beyermann, M., Kalbitzer, H.R., Bentrop, D. and Fakler, B.. Solution structure and function ofthe “tandem inactivation domain” of the neuronal A-type potassiumchannel Kv1.4. Journal of Biological Chemistry 278:16142-16150,2003.

Wittmeier, S., Song, G., Duffin, J. and Poon, C.-S.. Pacemakershandshake synchronization mechanism of mammalian respiratoryrhythmogenesis. Proceedings of the National Academy of Sciencesof the United States of America 105:18000-18005, 2008.

Wlodarczyk, A. I., Xu, C., Song, I., Doronin, M., Wu, Y. W.,Walker, M. C. and Semyanov, A.. Tonic GABA(A) conductancedecreases membrane time constant and increases EPSP-spikeprecision in hippocampal pyramidal neurons. Frontiers In NeuralCircuits 7:205, 10.3389/fncir.2013.00205, 2013.

Wolf, E., Birinyi, A. and Székely, G.. Simulation of the effect ofsynapses: the significance of the dendritic diameter in impulsepropagation. European Journal of Neuroscience 4:1013-1021, 1992.

Wolf, J. A., Moyer, J. T. and Finkel, L. H.. The role of NMDAcurrents in state transitions of the nucleus accumbens mediumspiny neuron. Neurocomputing 65-66:565-570, 2005a.

Wolf, J. A., Moyer, J. T., Lazarewicz, M. T., Contreras, D.,Benoit-Marand, M., O’Donnell, P. and Finkel, L. H.. NMDA/AMPAratio impacts state transitions and entrainment to oscillations ina computational model of the nucleus accumbens medium spinyprojection neuron. Journal of Neuroscience 25:9080-9095, 2005b.

Wolfart, J., Debay, D., Le Masson, G., Destexhe, A. and Bal, T..Synaptic background activity controls spike transfer from thalamusto cortex. Nature Neuroscience 8:1760-1767, 2005.

Wong, A. Y. C., Graham, B. P., Billups, B. and Forsythe, I. D..Distinguishing between presynaptic and postsynaptic mechanisms ofshort-term depression during action potential trains. Journal ofNeuroscience 23:4868-4877, 2003.

Wongsarnpigoon, A. and Grill, W. M.. Energy-efficient waveformshapes for neural stimulation revealed with a genetic algorithm.Journal of Neural Engineering 7:046009,10.1088/1741-2560/7/4/046009, 2010.

Wongsarnpigoon, A. and Grill, W. M.. Computer-based model ofepidural motor cortex stimulation: effects of electrode positionand geometry on activation of cortical neurons. ClinicalNeurophysiology 123:160-172, 10.1016/j.clinph.2011.06.005, 2012.

Wongsarnpigoon, A., Woock, J. P. and Grill, W. M.. Efficiencyanalysis of waveform shape for electrical excitation of nervefibers. IEEE Transactions on Neural Systems and RehabilitationEngineering 18:319-328, 10.1109/TNSRE.2010.2047610, 2010.

Woo, J., Kim, S. H., Han, K. and Choi, M.. Characterization ofdynamics and information processing of integrate-and-fire neuronmodels. Journal of Physics A: Mathematical and Theoretical54:445601, 10.1088/1751-8121/ac2a54, 2021.

Wu, S.-C. and Swindlehurst, A. L.. Direct feature extraction frommulti-electrode recordings for spike sorting. Digital SignalProcessing 75:222-231, 10.1016/j.dsp.2018.01.016, 2018.

Wu, S.-C., Swindlehurst, A. L. and Nenadic, Z.. A novel frameworkfor feature extraction in multi-sensor action potential sorting.Journal of Neuroscience Methods 253:262-271,10.1016/j.jneumeth.2015.07.003, 2015a.

Wu, S.-N., Huang, Y.-M., Kao, C.-A., Chen, B.-S. and Lo, Y.-C..Investigations on contribution of glial inwardly-rectifying K(+)current to membrane potential and ion flux: an experimental andtheoretical study. Kaohsiung Journal of Medical Sciences31:9-17, 10.1016/j.kjms.2014.10.006, 2015b.

Wu, T., Fan, J., Lee, K. S. and Li, X.. Cortical neuron activationinduced by electromagnetic stimulation: a quantitative analysisvia modelling and simulation. Journal of ComputationalNeuroscience 40:51-64, 10.1007/s10827-015-0585-1, 2016.

Wulff, P., Ponomarenko, A. A., Bartos, M., Korotkova, T. M.,Fuchs, E. C., Bahner, F., Both, M., Tort, A. B. L., Kopell, N. J.,Wisden, W. and Monyer, H.. Hippocampal theta rhythm and itscoupling with gamma oscillations require fast inhibition ontoparvalbumin-positive interneurons. Proceedings of the NationalAcademy of Sciences of the United States of America106:3561-3566, 2009.

Wybo, W. A., Jordan, J., Ellenberger, B., Marti Mengual, U.,Nevian, T. and Senn, W.. Data-driven reduction of dendriticmorphologies with preserved dendro-somatic responses. eLife1010.7554/eLife.60936, 2021.

Wybo, W. A. M., Boccalini, D., Torben-Nielsen, B. and Gewaltig,M.-O.. A sparse reformulation of the Green’s function formalismallows efficient simulations of morphological neuron models.Neural Computation 27:2587-2622, 10.1162/NECO_a_00788, 2015.

Wybo, W. A. M., Stiefel, K. M. and Torben-Nielsen, B.. The Green’sfunction formalism as a bridge between single- andmulti-compartmental modeling. Biological Cybernetics107:685-694, 10.1007/s00422-013-0568-0, 2013.

Wybo, W. A. M., Torben-Nielsen, B., Nevian, T. and Gewaltig,M.-O.. Electrical compartmentalization in neurons. Cell Reports26:1759-1773.e7, 10.1016/j.celrep.2019.01.074, 2019.

Xiang, Z. X., Huguenard, J. R. and Prince, D. A.. Synapticinhibition of pyramidal cells evoked by different interneuronalsubtypes in layer V of rat visual cortex. Journal ofNeurophysiology 88:740-750, 2002.

Xiao, Q., Zhong, Z., Lai, X. and Qin, H.. A multiple modulationsynthesis method with high spatial resolution for noninvasiveneurostimulation. PLoS ONE 14:e0218293,10.1371/journal.pone.0218293, 2019.

Xiumin, L.. Signal integration on the dendrites of a pyramidalneuron model. Cognitive Neurodynamics 8:81-85,10.1007/s11571-013-9252-2, 2014.

Xu, K., Maidana, J. P., Caviedes, M., Quero, D., Aguirre, P. andOrio, P.. Hyperpolarization-activated current inducesperiod-doubling cascades and chaos in a cold thermoreceptor model.Frontiers in Computational Neuroscience 11:12,10.3389/fncom.2017.00012, 2017.

Xu, N., Jiang, F., Tian, Y., Ye, J., Shi, F., Lv, H., Wang, Y.,Wrachtrup, J. and Du, J.. Wavelet-based fast time-resolvedmagnetic sensing with electronic spins in diamond. PhysicalReview B 932016.

Xylouris, K. and Wittum, G.. A three-dimensional mathematicalmodel for the signal propagation on a neuron’s membrane.Frontiers in Computational Neuroscience 9:94,10.3389/fncom.2015.00094, 2015.

Yaeger, D. B. and Trussell, L. O.. Single granule cells exciteGolgi cells and evoke feedback inhibition in the cochlear nucleus.Journal of Neuroscience 35:4741-4750,10.1523/JNEUROSCI.3665-14.2015, 2015.

Yamada, R. and Kuba, H.. Dendritic synapse geometry optimizesbinaural computation in a sound localization circuit. ScienceAdvances 7:eabh0024, 10.1126/sciadv.abh0024, 2021.

Yamada, R., Okuda, H., Kuba, H., Nishino, E., Ishii, T. M. andOhmori, H.. The cooperation of sustained and phasic inhibitionsincreases the contrast of ITD-tuning in low-frequency neurons ofthe chick nucleus laminaris. Journal of Neuroscience33:3927-3938, 10.1523/JNEUROSCI.2377-12.2013, 2013.

Yamasaki, T., Isokawa, T., Matsui, N., Ikeno, H. and Kanzaki, R..Reconstruction and simulation for three-dimensional morphologicalstructure of insect neurons. Neurocomputing 69:1043-1047, 2006.

Yamash*ta, K., Sundaram, P., Uchida, T., Matsuo, T. and Wong, W..Modelling the visual response to an OUReP retinal prosthesis withphotoelectric dye coupled to polyethylene film. Journal of NeuralEngineering 1810.1088/1741-2552/abf892, 2021.

Yang, C. Y., Tsai, D., Guo, T., Dokos, S., Suaning, G. J., Morley,J. W. and Lovell, N. H.. Differential electrical responses inretinal ganglion cell subtypes: effects of synaptic blockade andstimulating electrode location. Journal of Neural Engineering15:046020, 10.1088/1741-2552/aac315, 2018a.

Yang, F., Anderson, M., He, S., Stephens, K., Zheng, Y., Chen, Z.,Raja, S. N., Aplin, F., Guan, Y. and Fridman, G.. Differentialexpression of voltage-gated sodium channels in afferent neuronsrenders selective neural block by ionic direct current. ScienceAdvances 4:eaaq1438, 10.1126/sciadv.aaq1438, 2018b.

Yang, G. R., Murray, J. D. and Wang, X.-J.. A dendriticdisinhibitory circuit mechanism for pathway-specific gating.Nature Communications 7:12815, 10.1038/ncomms12815, 2016a.

Yang, H. H., St-Pierre, F., Sun, X., Ding, X., Lin, M. Z. andClandinin, T. R.. Subcellular imaging of voltage and calciumsignals reveals neural processing in vivo. Cell 166:245-257,10.1016/j.cell.2016.05.031, 2016b.

Yao, H. K., Guet-McCreight, A., Mazza, F., Moradi Chameh, H.,Prevot, T. D., Griffiths, J. D., Tripathy, S. J., Valiante, T. A.,Sibille, E. and Hay, E.. Reduced inhibition in depression impairsstimulus processing in human cortical microcircuits. CellReports 38:110232, 10.1016/j.celrep.2021.110232, 2022.

Yaron-Jakoubovitch, A., Jacobson, G. A., Koch, C., Segev, I. andYarom, Y.. A paradoxical isopotentiality: a spatially uniformnoise spectrum in neocortical pyramidal cells. Frontiers inCellular Neuroscience 2:3, 10.3389/neuro.03.003.2008, 2008.

Yau, H.-J., Baranauskas, G. and Martina, M.. Flufenamic aciddecreases neuronal excitability through modulation ofvoltage-gated sodium channel gating. Journal of Physiology588:3869-3882, 10.1113/jphysiol.2010.193037, 2010.

Ye, H. and Barrett, L.. Somatic inhibition by microscopic magneticstimulation. Scientific Reports 11:13591,10.1038/s41598-021-93114-x, 2021.

Ye, M., Yang, J., Tian, C., Zhu, Q., Yin, L., Jiang, S., Yang, M.and Shu, Y.. Differential roles of NaV1.2 and NaV1.6 in regulatingneuronal excitability at febrile temperature and distinctcontributions to febrile seizures. Scientific Reports 8:753,10.1038/s41598-017-17344-8, 2018.

Yi, G., Fan, Y. and Wang, J.. Metabolic cost of dendritic Ca2+action potentials in layer 5 pyramidal neurons. Frontiers inNeuroscience 13:1221, 10.3389/fnins.2019.01221, 2019a.

Yi, G. and Grill, W. M.. Frequency-dependent antidromic activationin thalamocortical relay neurons: effects of synaptic inputs.Journal of Neural Engineering 15:056001,10.1088/1741-2552/aacbff, 2018.

Yi, G. and Grill, W. M.. Average firing rate rather than temporalpattern determines metabolic cost of activity in thalamocorticalrelay neurons. Scientific Reports 9:6940,10.1038/s41598-019-43460-8, 2019.

Yi, G. and Grill, W. M.. Kilohertz waveforms optimized to produceclosed-state Na+channel inactivation eliminate onset response innerve conduction block. PLoS Computational Biology 16:e1007766,10.1371/journal.pcbi.1007766, 2020.

Yi, G. and Wang, J.. Frequency-dependent energy demand ofdendritic responses to deep brain stimulation in thalamic neurons:a model-based study. IEEE Transactions on Neural Networks andLearning Systems 32:3056-3068, 10.1109/TNNLS.2020.3009293, 2021.

Yi, G., Wang, J., Wei, X. and Che, Y.. Energy cost of actionpotential generation and propagation in thalamocortical relayneurons during deep brain stimulation. IEEE Transactions onBio-Medical Engineering 66:3457-3471, 10.1109/TBME.2019.2906114,2019b.

Yi, G., Wei, X., Wang, J., Deng, B. and Che, Y.. Modulations ofdendritic Ca2+ spike with weak electric fields in layer 5pyramidal cells. Neural Networks 110:8-18,10.1016/j.neunet.2018.10.013, 2019c.

Yi, G.-S., Wang, J., Deng, B. and Wei, X.-L.. Morphology controlshow hippocampal CA1 pyramidal neuron responds to uniform electricfields: a biophysical modeling study. Scientific Reports 7:3210,10.1038/s41598-017-03547-6, 2017.

Yildirim, O., Ozcan, Z., Turhan, H. and Kayikcioglu, T.. NetworkMaster: a versatile and user-friendly educational software forsimulation of neural networks [Online]. 2018 Medical TechnologiesNational Congress (TIPTEKNO), 10.1109/tiptekno.2018.8596865,2018.

Yim, M. Y., Hanuschkin, A. and Wolfart, J.. Intrinsic rescaling ofgranule cells restores pattern separation ability of a dentategyrus network model during epileptic hyperexcitability.Hippocampus 25:297-308, 10.1002/hipo.22373, 2015.

Yin, L., Rasch, M. J., He, Q., Wu, S., Dou, F. and Shu, Y..Selective modulation of axonal sodium channel subtypes by 5-HT1Areceptor in cortical pyramidal neuron. Cerebral Cortex27:509-521, 10.1093/cercor/bhv245, 2017.

Yoo, P. B. and Durand, D. A.. Selective recording of the caninehypoglossal nerve using a multicontact flat interface nerveelectrode. IEEE Transactions on Biomedical Engineering52:1461-1469, 2005.

You, M. and Mou, Z.. Model study of combined electrical andnear-infrared neural stimulation on the bullfrog sciatic nerve.Lasers in Medical Science 32:1163-1172,10.1007/s10103-017-2222-x, 2017.

Young, C. C., Stegen, M., Bernard, R., Mueller, M., Bischofberger,J., Veh, R. W., Haas, C. A. and Wolfart, J.. Upregulation ofinward rectifier K(+) (Kir2) channels in dentate gyrus granulecells in temporal lobe epilepsy. Journal of Physiology587:4213-4233, 10.1113/jphysiol.2009.170746, 2009.

Young, H., Belbut, B., Baeta, M. and Petreanu, L..Laminar-specific cortico-cortical loops in mouse visual cortex.eLife 1010.7554/eLife.59551, 2021.

Young, R. G., Castelfranco, A. M. and Hartline, D. K.. The “Lillietransition”: models of the onset of saltatory conduction inmyelinating axons. Journal of Computational Neuroscience34:533-546, 10.1007/s10827-012-0435-3, 2013.

Yousif, N. A. B. and Denham, M.. Action potential backpropagationin a model thalamocortical relay cell. Neurocomputing58-60:393-400, 2004.

Yu, G. J., Bouteiller, J.-M. C. and Berger, T. W.. Topographicorganization of correlation along the longitudinal and transverseaxes in rat hippocampal Ca3 due to excitatory afferents.Frontiers in Computational Neuroscience 14:588881,10.3389/fncom.2020.588881, 2020.

Yu, G. J., Bouteiller, J.-M. C., Song, D. and Berger, T. W..Axonal anatomy optimizes spatial encoding in the ratentorhinal-dentate system: a computational study. IEEETransactions on Bio-Medical Engineering online:ahead of print,10.1109/TBME.2019.2894410, 2019a.

Yu, G. J., Feng, Z. and Berger, T. W.. Network activity due totopographic organization of schaffer collaterals in a large-scalemodel of rat Ca1. Annual International Conference of the IEEEEngineering in Medicine and Biology Society 2019:2977-2980,10.1109/EMBC.2019.8856799, 2019b.

Yu, J., Proddutur, A., Elgammal, F. S., Ito, T. and Santhakumar,V.. Status epilepticus enhances tonic GABA currents anddepolarizes GABA reversal potential in dentate fast-spiking basketcells. Journal of Neurophysiology 109:1746-1763,10.1152/jn.00891.2012, 2013a.

Yu, J., Proddutur, A., Swietek, B., Elgammal, F. S. andSanthakumar, V.. Functional reduction in cannabinoid-sensitiveheterotypic inhibition of dentate basket cells in epilepsy: impacton network rhythms. Cerebral Cortex 26:4229-4314,10.1093/cercor/bhv199, 2015.

Yu, N. and Canavier, C. C.. A mathematical model of a midbraindopamine neuron identifies two slow variables likely responsiblefor bursts evoked by SK channel antagonists and terminated bydepolarization block. Journal of Mathematical Neuroscience 5:5,10.1186/s13408-015-0017-6, 2015.

Yu, N., Tucker, K. R., Levitan, E. S., Shepard, P. D. andCanavier, C. C.. Implications of cellular models of dopamineneurons for schizophrenia. Progress in Molecular Biology andTranslational Science 123:53-82,10.1016/B978-0-12-397897-4.00011-5, 2014a.

Yu, Y., McTavish, T. S., Hines, M. L., Shepherd, G. M., Valenti,C. and Migliore, M.. Sparse distributed representation of odors ina large-scale olfactory bulb circuit. PLoS Computational Biology9:e1003014, 10.1371/journal.pcbi.1003014, 2013b.

Yu, Y., Migliore, M., Hines, M. L. and Shepherd, G. M.. Sparsecoding and lateral inhibition arising from balanced and unbalanceddendrodendritic excitation and inhibition. Journal ofNeuroscience 34:13701-13713, 10.1523/JNEUROSCI.1834-14.2014,2014b.

Yu, Y. G., Shu, Y. S. and McCormick, D. A.. Cortical actionpotential backpropagation explains spike threshold variability andrapid-onset kinetics. Journal of Neuroscience 28:7260-7272,2008.

Zachariou, M., Dissanayake, D. W. N., Coombes, S., Owen, M. R. andMason, R.. Sensory gating and its modulation by cannabinoids:electrophysiological, computational and mathematical analysis.Cognitive Neurodynamics 2:159-170, 2008.

Zacksenhouse, M., Johnson, D., Williams, J. and Tsuchitani, C..Single-neuron modeling of LSO unit responses. Journal ofNeurophysiology 79:3098-3110, 1998.

Zador, A. and Koch, C.. Linearized models of calcium dynamics:formal equivalence to the cable equation. Journal ofNeuroscience 14:4705-4715, 1994.

Zagha, E., Lang, E. J. and Rudy, B.. Kv3.3 channels at thePurkinje cell soma are necessary for generation of the classicalcomplex spike waveform. Journal of Neuroscience 28:1291-1300,2008.

Zahid, T. and Skinner, F. K.. Predicting synchronous andasynchronous network groupings of hippocampal interneurons coupledwith dendritic gap junctions. Brain Research 1262:115-129, 2009.

Zaika, O., Lara, L. S., Gamper, N., Hilgemann, D., Jaffe, D. B.and Shapiro, M. S.. Angiotensin II regulates neuronal excitabilityvia phosphatidylinositol 4,5-bisphosphate-dependent modulation ofKv7 (M-type) K+ channels. Journal of Physiology 575:49-67, 2006.

Zaika, O., Tolstykh, G. P., Jaffe, D. B. and Shapiro, M. S..Inositol triphosphate-mediated Ca2+ signals direct purinergic P2Yreceptor regulation of neuronal ion channels. Journal ofNeuroscience 27:8914-8926, 2007.

Zander, H. J., Graham, R. D., Anaya, C. J. and Lempka, S. F..Anatomical and technical factors affecting the neural response toepidural spinal cord stimulation. Journal of Neural Engineering17:036019, 10.1088/1741-2552/ab8fc4, 2020.

Zander, H. J., Kowalski, K. E., DiMarco, A. F. and Lempka, S. F..Model-based optimization of spinal cord stimulation forinspiratory muscle activation. Neuromodulation10.1111/ner.13415, 2021.

Zandt, B.-J., Veruki, M. L. and Hartveit, E.. Electrotonic signalprocessing in AII amacrine cells: compartmental models and passivemembrane properties for a gap junction-coupled retinal neuron.Brain Structure and Function 223:3383-3410,10.1007/s00429-018-1696-z, 2018.

Zang, Y. and De Schutter, E.. The cellular electrophysiologicalproperties underlying multiplexed coding in Purkinje cells.Journal of Neuroscience 10.1523/JNEUROSCI.1719-20.2020, 2021.

Zang, Y., Dieudonné, S. and De Schutter, E.. Voltage- andbranch-specific climbing fiber responses in Purkinje cells. CellReports 24:1536-1549, 10.1016/j.celrep.2018.07.011, 2018.

Zang, Y., Hong, S. and De Schutter, E.. Firing rate-dependentphase responses of Purkinje cells support transient oscillations.eLife 910.7554/eLife.60692, 2020.

Zang, Y. and Marder, E.. Interactions among diameter, myelination,and the Na/K pump affect axonal resilience to high-frequencyspiking. Proceedings of the National Academy of Sciences11810.1073/pnas.2105795118, 2021.

Zbili, M. and Debanne, D.. Myelination increases the spatialextent of analog-digital modulation of synaptic transmission: amodeling study. Frontiers in Cellular Neuroscience 14:40,10.3389/fncel.2020.00040, 2020.

Zbili, M., Rama, S., Yger, P., Inglebert, Y., Boumedine-Guignon,N., Fronzaroli-Moliniere, L., Brette, R., Russier, M. and Debanne,D.. Axonal Na+ channels detect and transmit levels of inputsynchrony in local brain circuits. Science Advances 6:eaay4313,10.1126/sciadv.aay4313, 2020.

Zeitler, M., Fries, P. and Gielen, S.. Biased competition throughvariations in amplitude of gamma-oscillations. Journal ofComputational Neuroscience 25:89-107, 2008.

Zeldenrust, F., Chameau, P. and Wadman, W. J.. Spike and burstcoding in thalamocortical relay cells. PLoS ComputationalBiology 14:e1005960, 10.1371/journal.pcbi.1005960, 2018.

Zelechowski, M., Valle, G. and Raspopovic, S.. A computationalmodel to design neural interfaces for lower-limb sensoryneuroprostheses. Journal of NeuroEngineering and Rehabilitation17:24, 10.1186/s12984-020-00657-7, 2020.

Zellmer, E. R., MacEwan, M. R. and Moran, D. W.. Modelling theimpact of altered axonal morphometry on the response ofregenerative nervous tissue to electrical stimulation throughmacro-sieve electrodes. Journal of Neural Engineering 15:026009,10.1088/1741-2552/aa9e96, 2018.

Zeng, Y., Ferdous, Z. I., Zhang, W., Xu, M., Yu, A., Patel, D.,Post, V., Guo, X., Berdichevsky, Y. and Yan, Z.. Understanding theimpact of neural variations and random connections on inference.Frontiers in Computational Neuroscience 15:612937,10.3389/fncom.2021.612937, 2021.

Zenke, F. and Gerstner, W.. Limits to high-speed simulations ofspiking neural networks using general-purpose computers.Frontiers in Neuroinformatics 8:76, 10.3389/fninf.2014.00076,2014.

Zerlaut, Y. and Destexhe, A.. Heterogeneous firing responsespredict diverse couplings to presynaptic activity in mice layer Vpyramidal neurons. PLoS Computational Biology 13:e1005452,10.1371/journal.pcbi.1005452, 2017.

Zerlaut, Y., Teleńczuk, B., Deleuze, C., Bal, T., Ouanounou, G.and Destexhe, A.. Heterogeneous firing rate response of mouselayer V pyramidal neurons in the fluctuation-driven regime.Journal of Physiology 594:3791-3808, 10.1113/JP272317, 2016.

Zhang, M., Liu, Y., Wang, S.-z., Zhong, W., Liu, B.-h. and Tao, H.W.. Functional elimination of excitatory feedforward inputsunderlies developmental refinement of visual receptive fields inzebrafish. Journal of Neuroscience 31:5460-5469,10.1523/JNEUROSCI.6220-10.2011, 2011.

Zhang, Q. and Dai, Y.. A modeling study of spinal motoneuronrecruitment regulated by ionic channels during fictive locomotion.Journal of Computational Neuroscience 48:409-428,10.1007/s10827-020-00763-4, 2020.

Zhang, T. C. and Grill, W. M.. Modeling deep brain stimulation:point source approximation versus realistic representation of theelectrode. Journal of Neural Engineering 7:066009,10.1088/1741-2560/7/6/066009, 2010.

Zhang, T. C., Janik, J. J. and Grill, W. M.. Modeling the effectsof spinal cord stimulation on wide dynamic range dorsal hornneurons: influence of stimulation frequency and GABAergicinhibition. Journal of Neurophysiology 112:552-567,10.1152/jn.00254.2014, 2014.

Zhang, T. C., Janik, J. J., Peters, R. V., Chen, G., Ji, R.-R. andGrill, W. M.. Spinal sensory projection neuron responses to spinalcord stimulation are mediated by circuits beyond gate control.Journal of Neurophysiology 114:284-300, 10.1152/jn.00147.2015,2015.

Zhang, W., Chen, P., Zhou, L., Qin, Z., Gao, K., Yao, J., Li, C.and Wang, P.. A biomimetic bioelectronic tongue: a switch for On-and Off- response of acid sensations. Biosensors andBioelectronics 92:523-528, 10.1016/j.bios.2016.10.069, 2017a.

Zhang, W., Fan, B., Agarwal, D., Li, T. and Yu, Y.. Axonal sodiumand potassium conductance density determines spiking dynamicalproperties of regular- and fast-spiking neurons. NonlinearDynamics 95:1035-1052, 10.1007/s11071-018-4613-3, 2019.

Zhang, X., Hanco*ck, R. and Santaniello, S.. Transcranial directcurrent stimulation of cerebellum alters spiking precision incerebellar cortex: a modeling study of cellular responses.. PLoSComputational Biology 17:e1009609, 10.1371/journal.pcbi.1009609,2021a.

Zhang, X., Liu, S., Zhan, F., Wang, J. and Jiang, X.. The effectsof medium spiny neuron morphologcial changes on basal ganglianetwork under external electric field: a computational modelingstudy. Frontiers In Computational Neuroscience 11:91,10.3389/fncom.2017.00091, 2017b.

Zhang, X. and Santaniello, S.. Role of cerebellar GABAergicdysfunctions in the origins of essential tremor. Proceedings ofthe National Academy of Sciences of the United States of America116:13592-13601, 10.1073/pnas.1817689116, 2019.

Zhang, X., Schlögl, A. and Jonas, P.. Selective routing of spatialinformation flow from input to output in hippocampal granulecells. Neuron 107:1212-1225.e7, 10.1016/j.neuron.2020.07.006,2020.

Zhang, X., Schlögl, A., Vandael, D. and Jonas, P.. MOD: a novelmachine-learning optimal-filtering method for accurate andefficient detection of subthreshold synaptic events in vivo.Journal of Neuroscience Methods 357:109125,10.1016/j.jneumeth.2021.109125, 2021b.

Zhang, Y., Bucher, D. and Nadim, F.. Ionic mechanisms underlyinghistory-dependence of conduction delay in an unmyelinated axon.eLife 6:e25382, 10.7554/eLife.25382, 2017c.

Zhang, Y.-F., Reynolds, J. N. J. and Cragg, S. J.. Pauses incholinergic interneuron activity are driven by excitatory inputand delayed rectification, with dopamine modulation. Neuron98:918-925.e3, 10.1016/j.neuron.2018.04.027, 2018.

Zhao, Y., Siri, S., Feng, B. and Pierce, D. M.. The macro- andmicro-mechanics of the colon and rectum ii: theoretical andcomputational methods. Bioengineering710.3390/bioengineering7040152, 2020.

Zheng, L., Feng, Z., Hu, H., Wang, Z., Yuan, Y. and Wei, X.. Theappearance order of varying intervals introduces extra modulationeffects on neuronal firing through non-linear dynamics of sodiumchannels during high-frequency stimulations. Frontiers inNeuroscience 14:397, 10.3389/fnins.2020.00397, 2020.

Zheng, Y., Liu, P., Bai, L., Trimmer, J. S., Bean, B. P. andGinty, D. D.. Deep sequencing of somatosensory neurons revealsmolecular determinants of intrinsic physiological properties.Neuron 103:598-616.e7, 10.1016/j.neuron.2019.05.039, 2019.

Zhou, S., Migliore, M. and Yu, Y.. Odor experience facilitatessparse representations of new odors in a large-scale olfactorybulb model.. Frontiers in Neuroanatomy 10:10,10.3389/fnana.2016.00010, 2016.

Zhou, S.-L., Chu, H.-Y., Jin, G.-Z., Cui, J.-M. and Zhen, X.-C..Effects of SKF83959 on the excitability of hippocampal CA1pyramidal neurons: a modeling study. Acta Pharmacologica Sinica35:738-751, 10.1038/aps.2014.23, 2014.

Zhou, Y., Carney, L. H. and Colburn, H. S.. A model for interauraltime difference sensitivity in the medial superior olive:Interaction of excitatory and inhibitory synaptic inputs, channeldynamics, and cellular morphology. Journal of Neuroscience25:3046-3058, 2005.

Zhou, Y. and Colburn, H. S.. A modeling study of the effects ofmembrane afterhyperpolarization on spike interval statistics andon ILD encoding in the lateral superior olive. Journal ofNeurophysiology 103:2355-2371, 10.1152/jn.00385.2009, 2010.

Zhou, Y., Liu, B.-h., Wu, G. K., Kim, Y.-J., Xiao, Z., Tao, H. W.and Zhang, L. I.. Preceding inhibition silences layer 6 neurons inauditory cortex. Neuron 65:706-717,10.1016/j.neuron.2010.02.021, 2010.

Zhu, J. J., Lytton, W. W., Xue, J.-T. and Uhlrich, D. J.. Anintrinsic oscillation in interneurons of the rat lateralgeniculate nucleus. Journal of Neurophysiology 81:702-711,1999a.

Zhu, J. J., Uhlrich, D. J. and Lytton, W. W.. Burst firing inidentified rat geniculate interneurons. Neuroscience91:1445-1460, 1999b.

Zhu, J. J., Uhlrich, D. J. and Lytton, W. W.. Properties of ahyperpolarization-activated cation current in interneurons in therat lateral geniculate nucleus. Neuroscience 92:445-457, 1999c.

Zhu, K., Li, L., Wei, X. and Sui, X.. A 3D computational model oftranscutaneous electrical nerve stimulation for estimating Aβtactile nerve fiber excitability. Frontiers in Neuroscience11:250, 10.3389/fnins.2017.00250, 2017.

Zhuchkova, E., Remme, M. W. H. and Schreiber, S.. Somatic versusdendritic resonance: differential filtering of inputs throughnon-uniform distributions of active conductances. PLoS ONE8:e78908, 10.1371/journal.pone.0078908, 2013.

Zhukov, O. A., Kazakova, T. A., Maksimov, G. V. and Brazhe, A. R..Cost of auditory sharpness: model-based estimate of energy use byauditory brainstem “octopus” neurons. Journal of TheoreticalBiology 469:137-147, 10.1016/j.jtbi.2019.01.043, 2019.

Ziegler, D. A., Pritchett, D. L., Hosseini-Varnamkhasti, P.,Corkin, S., Hämäläinen, M., Moore, C. I. and Jones, S. R..Transformations in oscillatory activity and evoked responses inprimary somatosensory cortex in middle age: a combinedcomputational neural modeling and MEG study. Neuroimage52:897-912, 10.1016/j.neuroimage.2010.02.004, 2010.

Zippo, A. G. and Biella, G. E. M.. Quantifying the number ofdiscriminable coincident dendritic input patterns throughdendritic tree morphology. Scientific Reports 5:11543,10.1038/srep11543, 2015.

Zitella, L. M., Mohsenian, K., Pahwa, M., Gloeckner, C. andJohnson, M. D.. Computational modeling of pedunculopontine nucleusdeep brain stimulation. Journal of Neural Engineering 10:045005,10.1088/1741-2560/10/4/045005, 2013.

Zitella, L. M., Teplitzky, B. A., Yager, P., Hudson, H. M.,Brintz, K., Duchin, Y., Harel, N., Vitek, J. L., Baker, K. B. andJohnson, M. D.. Subject-specific computational modeling of DBS inthe PPTg area. Frontiers in Computational Neuroscience 9:93,10.3389/fncom.2015.00093, 2015.

Zobeiri, M., Chaudhary, R., Blaich, A., Rottmann, M., Herrmann,S., Meuth, P., Bista, P., Kanyshkova, T., Lüttjohann, A.,Narayanan, V., Hundehege, P., Meuth, S. G., Romanelli, M. N.,Urbano, F. J., Pape, H.-C., Budde, T. and Ludwig, A.. Thehyperpolarization-activated HCN4 channel is important for propermaintenance of oscillatory activity in the thalamocortical system.Cerebral Cortex 29:2291-2304, 10.1093/cercor/bhz047, 2019.

Zobeiri, M., Chaudhary, R., Datunashvili, M., Heuermann, R. J.,Lüttjohann, A., Narayanan, V., Balfanz, S., Meuth, P., Chetkovich,D. M., Pape, H.-C., Baumann, A., van Luijtelaar, G. and Budde, T..Modulation of thalamocortical oscillations by TRIP8b, an auxiliarysubunit for HCN channels. Brain Structure and Function223:1537-1564, 10.1007/s00429-017-1559-z, 2018.

Zomorrodi, R., Ferecsko, A. S., Kovacs, K., Kroeger, H. andTimofeev, I.. Analysis of morphological features ofthalamocortical neurons from the ventroposterolateral nucleus ofthe cat. Journal of Comparative Neurology 518:3541-3556,10.1002/cne.22413, 2010.

Zomorrodi, R., Kröger, H. and Timofeev, I.. Modelingthalamocortical cell: Impact of Ca2+ channel distribution and cellgeometry on firing pattern. Frontiers in ComputationalNeuroscience 2:5, doi:10.3389/neuro.10.005.2008, 2008.

Zou, Q., Bornat, Y., Saighi, S., Tomas, J., Renaud, S. andDestexhe, A.. Analog-digital simulations of full conductance-basednetworks of spiking neurons with spike timing dependentplasticity. Network 17:211-233, 2006a.

Zou, Q., Bornat, Y., Tomas, J., Renaud, S. and Destexhe, A..Real-time simulations of networks of Hodgkin-Huxley neurons usinganalog circuits. Neurocomputing 69:1137-1140, 2006b.

Zou, Q. and Destexhe, A.. Kinetic models of spike-timing dependentplasticity and their functional consequences in detectingcorrelations. Biological Cybernetics 97:81-97, 2007.

Zou, Q., Rudolph, M., Roy, N., Sanchez-Vives, M., Contreras, D.and Destexhe, A.. Reconstructing synaptic background activity fromconductance measurements in vivo. Neurocomputing 65:673-678,2005.

Zsiros, V., Aradi, I. and Maccaferri, G.. Propagation ofpostsynaptic currents and potentials via gap junctions inGABAergic networks of the rat hippocampus. Journal of Physiology578:527-544, 2007.

Zuo, S., Heidari, H., Farina, D. and Nazarpour, K.. Miniaturizedmagnetic sensors for implantable magnetomyography. AdvancedMaterials Technologies :2000185, 10.1002/admt.202000185, 2020.

Zupanc, G. K. H., Amaro, S. M., Lehotzky, D., Zupanc, F. B. andLeung, N. Y.. Glia-mediated modulation of extracellular potassiumconcentration determines the sexually dimorphic output frequencyof a model brainstem oscillator. Journal of Theoretical Biology471:117-124, 10.1016/j.jtbi.2019.03.013, 2019.

Zybura, A. S., Baucum, A. J., Rush, A. M., Cummins, T. R. andHudmon, A.. CaMKII enhances voltage-gated sodium channel Nav1.6activity and neuronal excitability. Journal of BiologicalChemistry 295:11845-11865, 10.1074/jbc.RA120.014062, 2020.

Zylbertal, A., Kahan, A., Ben-Shaul, Y., Yarom, Y. and Wagner, S..Prolonged intracellular Na+ dynamics govern electrical activity inaccessory olfactory bulb mitral cells. PLoS Biology 13:e1002319,10.1371/journal.pbio.1002319, 2015.

Zylbertal, A., Yarom, Y. and Wagner, S.. Synchronous infra-slowbursting in the mouse accessory olfactory bulb emerge frominterplay between intrinsic neuronal dynamics and networkconnectivity. Journal of Neuroscience 37:2656-2672,10.1523/JNEUROSCI.3107-16.2017, 2017a.

Zylbertal, A., Yarom, Y. and Wagner, S.. The slow dynamics ofintracellular sodium concentration increase the time window ofneuronal integration: a simulation study. Frontiers inComputational Neuroscience 11:85, 10.3389/fncom.2017.00085,2017b.