Squid axon (Hodgkin, Huxley 1952) (SNNAP)

Cole KS. (1941). RECTIFICATION AND INDUCTANCE IN THE SQUID GIANT AXON. The Journal of general physiology. 25 [PubMed]

Cole KS, Baker RF. (1941). LONGITUDINAL IMPEDANCE OF THE SQUID GIANT AXON. The Journal of general physiology. 24 [PubMed]

Cole KS, Curtis HJ. (1939). ELECTRIC IMPEDANCE OF THE SQUID GIANT AXON DURING ACTIVITY. The Journal of general physiology. 22 [PubMed]

Goldman DE. (1943). POTENTIAL, IMPEDANCE, AND RECTIFICATION IN MEMBRANES. The Journal of general physiology. 27 [PubMed]

HODGKIN AL, HUXLEY AF. (1952). Currents carried by sodium and potassium ions through the membrane of the giant axon of Loligo. The Journal of physiology. 116 [PubMed]

HODGKIN AL, HUXLEY AF. (1952). The components of membrane conductance in the giant axon of Loligo. The Journal of physiology. 116 [PubMed]

HODGKIN AL, HUXLEY AF. (1952). The dual effect of membrane potential on sodium conductance in the giant axon of Loligo. The Journal of physiology. 116 [PubMed]

HODGKIN AL, HUXLEY AF, KATZ B. (1952). Measurement of current-voltage relations in the membrane of the giant axon of Loligo. The Journal of physiology. 116 [PubMed]

HODGKIN AL, KATZ B. (1949). The effect of temperature on the electrical activity of the giant axon of the squid. The Journal of physiology. 109 [PubMed]

Hartree DR. (1932). A practical method for the numerical solution of differential equations. Mem. Manchr lit. phil. Soc.. 77

Hodgkin AL. (1951). The ionic basis of electrical activity in nerve and muscle. Biol. Rev.. 26

Huxley AF, Hodgkin AL, Katz B. (1949). Ionic currents underlying activity in the giant axon of the squid. Arch Sci Physiol. 3

KEYNES RD. (1951). The ionic movements during nervous activity. The Journal of physiology. 114 [PubMed]

KEYNES RD, LEWIS PR. (1951). The sodium and potassium content of cephalopod nerve fibers. The Journal of physiology. 114 [PubMed]

Lorente NR. (1947). A study of nerve physiology. Stud. Rockefeller Inst. med. Res.. 131,132

Pumphrey RJ. (1940). Correlation of local excitability with local physiological response in the giant axon of the squid (loligo). The Journal of physiology. 98 [PubMed]

Acker CD, White JA. (2007). Roles of IA and morphology in action potential propagation in CA1 pyramidal cell dendrites. Journal of computational neuroscience. 23 [PubMed]

• Roles of I(A) and morphology in AP prop. in CA1 pyramidal cell dendrites (Acker and White 2007) [Model]

Adrian RH, Chandler WK, Hodgkin AL. (1970). Voltage clamp experiments in striated muscle fibres. The Journal of physiology. 208 [PubMed]

• Action potential of striated muscle fiber (Adrian et al 1970) [Model]

Aldrich RW, Sack JT. (2006). Binding of a Gating Modifier Toxin Induces Intersubunit Cooperativity Early in the Shaker K Channel's Activation Pathway J. Gen. Physiol.. 128(1)

Alidousti J, Ghaziani RK. (2017). Spiking and bursting of a fractional order of the modified FitzHugh-Nagumo neuron model Mathematical Models and Computer Simulations. 9

Alle H, Roth A, Geiger JR. (2009). Energy-efficient action potentials in hippocampal mossy fibers. Science (New York, N.Y.). 325 [PubMed]

• Action potential reconstitution from measured current waveforms (Alle et al. 2009) [Model]

Allken V, Chepkoech JL, Einevoll GT, Halnes G. (2014). The subcellular distribution of T-type Ca2+ channels in interneurons of the lateral geniculate nucleus. PloS one. 9 [PubMed]

• The subcellular distribution of T-type Ca2+ channels in LGN interneurons (Allken et al. 2014) [Model]

Almog M, Korngreen A. (2014). A Quantitative Description of Dendritic Conductances and Its Application to Dendritic Excitation in Layer 5 Pyramidal Neurons The Journal of neuroscience : the official journal of the Society for Neuroscience. 34 [PubMed]

• Ionic mechanisms of dendritic spikes (Almog and Korngreen 2014) [Model]

Alturki A, Feng F, Nair A, Guntu V, Nair SS. (2016). Distinct current modules shape cellular dynamics in model neurons. Neuroscience. 334 [PubMed]

• Distinct current modules shape cellular dynamics in model neurons (Alturki et al 2016) [Model]

Amir R, Liu CN, Kocsis JD, Devor M. (2002). Oscillatory mechanism in primary sensory neurones. Brain : a journal of neurology. 125 [PubMed]

Amir R, Michaelis M, Devor M. (2002). Burst discharge in primary sensory neurons: triggered by subthreshold oscillations, maintained by depolarizing afterpotentials. The Journal of neuroscience : the official journal of the Society for Neuroscience. 22 [PubMed]

Anderson WD, Galván EJ, Mauna JC, Thiels E, Barrionuevo G. (2011). Properties and functional implications of I (h) in hippocampal area CA3 interneurons. Pflugers Archiv : European journal of physiology. 462 [PubMed]

• CA3 Radiatum/Lacunosum-Moleculare interneuron, Ih (Anderson et al. 2011) [Model]

Anderson WD, Makadia HK, Vadigepalli R. (2016). Molecular variability elicits a tunable switch with discrete neuromodulatory response phenotypes. Journal of computational neuroscience. 40 [PubMed]

• Cell signaling/ion channel variability effects on neuronal response (Anderson, Makadia, et al. 2015) [Model]

Anderson WS, Azhar F, Kudela P, Bergey GK, Franaszczuk PJ. (2012). Epileptic seizures from abnormal networks: why some seizures defy predictability. Epilepsy research. 99 [PubMed]

• Network model with neocortical architecture (Anderson et al 2007,2012; Azhar et al 2012) [Model]

Anderson WS, Kudela P, Cho J, Bergey GK, Franaszczuk PJ. (2007). Studies of stimulus parameters for seizure disruption using neural network simulations. Biological cybernetics. 97 [PubMed]

• Studies of stimulus parameters for seizure disruption using NN simulations (Anderson et al. 2007) [Model]
• Network model with neocortical architecture (Anderson et al 2007,2012; Azhar et al 2012) [Model]

Anderson WS, Kudela P, Weinberg S, Bergey GK, Franaszczuk PJ. (2009). Phase-dependent stimulation effects on bursting activity in a neural network cortical simulation. Epilepsy research. 84 [PubMed]

• Network model with neocortical architecture (Anderson et al 2007,2012; Azhar et al 2012) [Model]

Andreozzi E, Carannante I, D'Addio G, Cesarelli M, Balbi P. (2019). Phenomenological models of NaV1.5. A side by side, procedural, hands-on comparison between Hodgkin-Huxley and kinetic formalisms Scientific reports. 9 [PubMed]

• Phenomenological models of NaV1.5: Hodgkin-Huxley and kinetic formalisms (Andreozzi et al 2019) [Model]

Antunes G, Faria da Silva SF, Simoes de Souza FM. (2018). Mirror Neurons Modeled Through Spike-Timing-Dependent Plasticity are Affected by Channelopathies Associated with Autism Spectrum Disorder. International journal of neural systems. 28 [PubMed]

• Mirror Neuron (Antunes et al 2017) [Model]

Anwar H, Hepburn I, Nedelescu H, Chen W, De Schutter E. (2013). Stochastic calcium mechanisms cause dendritic calcium spike variability. The Journal of neuroscience : the official journal of the Society for Neuroscience. 33 [PubMed]

• Stochastic calcium mechanisms cause dendritic calcium spike variability (Anwar et al. 2013) [Model]

Aradi I, Erdi P. (1996). Signal generation and propagation in the olfactory bulb: multicompartmental modeling Computers And Mathematics With Applications. 32

Aradi I, Erdi P. (1996). MULTICOMPARTMENTAL MODELING OF THE OLFACTORY BULB Cybernetics and Systems. 27

Arhem P, Klement G, Blomberg C. (2006). Channel density regulation of firing patterns in a cortical neuron model. Biophysical journal. 90 [PubMed]

Armstrong CM. (2006). Na channel inactivation from open and closed states. Proceedings of the National Academy of Sciences of the United States of America. 103 [PubMed]

Arsiero M, Lüscher HR, Lundstrom BN, Giugliano M. (2007). The impact of input fluctuations on the frequency-current relationships of layer 5 pyramidal neurons in the rat medial prefrontal cortex. The Journal of neuroscience : the official journal of the Society for Neuroscience. 27 [PubMed]

• Input Fluctuations effects on f-I curves (Arsiero et al. 2007) [Model]

Ashida G, Abe K, Funabiki K, Konishi M. (2007). Passive soma facilitates submillisecond coincidence detection in the owl's auditory system. Journal of neurophysiology. 97 [PubMed]

Athanasiades A, Clark JW, Ghorbel F, Bidani A. (2000). An ionic current model for medullary respiratory neurons. Journal of computational neuroscience. 9 [PubMed]

Atherton LA, Prince LY, Tsaneva-Atanasova K. (2016). Bifurcation analysis of a two-compartment hippocampal pyramidal cell model. Journal of computational neuroscience. 41 [PubMed]

• Fully continuous Pinsky-Rinzel model for bifurcation analysis (Atherton et al. 2016) [Model]

Aumentado-Armstrong T, Metzen MG, Sproule MK, Chacron MJ. (2015). Electrosensory Midbrain Neurons Display Feature Invariant Responses to Natural Communication Stimuli. PLoS computational biology. 11 [PubMed]

• Midbrain torus semicircularis neuron model (Aumentado-Armstrong et al. 2015) [Model]

Ausborn J, Stein W, Wolf H. (2007). Frequency control of motor patterning by negative sensory feedback. The Journal of neuroscience : the official journal of the Society for Neuroscience. 27 [PubMed]

• Interaction of leak and IMI conductance on the STG over broad temperature range (Stadele et al 2015) [Model]

Aussel A, Buhry L, Tyvaert L, Ranta R. (2018). A detailed anatomical and mathematical model of the hippocampal formation for the generation of sharp-wave ripples and theta-nested gamma oscillations. Journal of computational neuroscience. 45 [PubMed]

• Model of the hippocampus over the sleep-wake cycle using Hodgkin-Huxley neurons (Aussel et al 2018) [Model]

Av-Ron E, Parnas H, Segel LA. (1991). A minimal biophysical model for an excitable and oscillatory neuron. Biological cybernetics. 65 [PubMed]

• Minimal cell model (Av-Ron et al 1991) [Model]

Avella Gonzalez OJ, Mansvelder HD, van Pelt J, van Ooyen A. (2015). H-Channels Affect Frequency, Power and Amplitude Fluctuations of Neuronal Network Oscillations. Frontiers in computational neuroscience. 9 [PubMed]

• H-currents effect on the fluctuation of gamma/beta oscillations (Avella-Gonzalez et al., 2015) [Model]

Azhar F, Anderson WS. (2012). Predicting single-neuron activity in locally connected networks. Neural computation. 24 [PubMed]

• Network model with neocortical architecture (Anderson et al 2007,2012; Azhar et al 2012) [Model]

Azouz R. (2005). Dynamic spatiotemporal synaptic integration in cortical neurons: neuronal gain, revisited. Journal of neurophysiology. 94 [PubMed]

Azouz R, Gray CM. (2000). Dynamic spike threshold reveals a mechanism for synaptic coincidence detection in cortical neurons in vivo. Proceedings of the National Academy of Sciences of the United States of America. 97 [PubMed]

Badel L et al. (2008). Dynamic I-V curves are reliable predictors of naturalistic pyramidal-neuron voltage traces. Journal of neurophysiology. 99 [PubMed]

Bahl A, Stemmler MB, Herz AV, Roth A. (2012). Automated optimization of a reduced layer 5 pyramidal cell model based on experimental data. Journal of neuroscience methods. 210 [PubMed]

• A set of reduced models of layer 5 pyramidal neurons (Bahl et al. 2012) [Model]

Baker MD. (2005). Protein kinase C mediates up-regulation of tetrodotoxin-resistant, persistent Na+ current in rat and mouse sensory neurones. The Journal of physiology. 567 [PubMed]

• Models of Na channels from a paper on the PKC control of I Na,P (Baker 2005) [Model]

Balbi P, Martinoia S, Massobrio P. (2015). Axon-somatic back-propagation in detailed models of spinal alpha motoneurons. Frontiers in computational neuroscience. 9 [PubMed]

• Axon-somatic back-propagation in a detailed model of cat spinal motoneuron (Balbi et al, 2015) [Model]

Balbi P, Massobrio P, Hellgren Kotaleski J. (2017). A single Markov-type kinetic model accounting for the macroscopic currents of all human voltage-gated sodium channel isoforms. PLoS computational biology. 13 [PubMed]

• A single kinetic model for all human voltage-gated sodium channels (Balbi et al, 2017) [Model]

Baranauskas G, Martina M. (2006). Sodium currents activate without a Hodgkin-and-Huxley-type delay in central mammalian neurons. The Journal of neuroscience : the official journal of the Society for Neuroscience. 26 [PubMed]

• Sodium currents activate without a delay (Baranauskas and Martina 2006) [Model]

Barkai E, Bergman RE, Horwitz G, Hasselmo ME. (1994). Modulation of associative memory function in a biophysical simulation of rat piriform cortex. Journal of neurophysiology. 72 [PubMed]

Barkai E, Hasselmo ME. (1994). Modulation of the input/output function of rat piriform cortex pyramidal cells. Journal of neurophysiology. 72 [PubMed]

Barlow BM, Joos B, Trinh AK, Longtin A. (2018). Cooling reverses pathological bifurcations to spontaneous firing caused by mild traumatic injury. Chaos (Woodbury, N.Y.). 28 [PubMed]

• Cooling reverses pathological spontaneous firing caused by mild traumatic injury (Barlow et al 2018) [Model]

Barlow BSM, Longtin A, Joós B. (2024). Impact on backpropagation of the spatial heterogeneity of sodium channel kinetics in the axon initial segment. PLoS computational biology. 20 [PubMed]

• Impact on backpropagation of the spatial heterogeneity of sodium channel kinetics in the axon initial segment (Barlow et al., 2024) [Model]

Barnes S, Hille B. (1989). Ionic channels of the inner segment of tiger salamander cone photoreceptors. The Journal of general physiology. 94 [PubMed]

• Rod photoreceptor (Barnes and Hille 1989, Publio et al. 2006, Kourennyi and Liu et al. 2004) [Model]

Barreto E, Cressman JR. (2011). Ion concentration dynamics as a mechanism for neuronal bursting. Journal of biological physics. 37 [PubMed]

• Ion concentration dynamics as a mechanism for neuronal bursting (Barreto & Cressman 2011) [Model]

Bartocci E, Corradini F, Entcheva E, Smolka SA, Grosu R. (2008). CellExcite: an efficient simulation environment for excitable cells BMC Bioinformatics. 9(Suppl 2)

• CellExcite: an efficient simulation environment for excitable cells (Bartocci et al. 2008) [Model]

Bartos M, Vida I, Frotscher M, Geiger JR, Jonas P. (2001). Rapid signaling at inhibitory synapses in a dentate gyrus interneuron network. The Journal of neuroscience : the official journal of the Society for Neuroscience. 21 [PubMed]

• Dentate Basket Cell: spatial summation of inhibitory synaptic inputs (Bartos et al 2001) [Model]

Bazhenov M et al. (2001). Model of cellular and network mechanisms for odor-evoked temporal patterning in the locust antennal lobe. Neuron. 30 [PubMed]

Bazhenov M et al. (2001). Model of transient oscillatory synchronization in the locust antennal lobe. Neuron. 30 [PubMed]

Bazhenov M, Timofeev I, Steriade M, Sejnowski TJ. (1998). Computational models of thalamocortical augmenting responses. The Journal of neuroscience : the official journal of the Society for Neuroscience. 18 [PubMed]

• Thalamocortical augmenting response (Bazhenov et al 1998) [Model]

Beeler GW, Reuter H. (1977). Reconstruction of the action potential of ventricular myocardial fibres. The Journal of physiology. 268 [PubMed]

• Mammalian Ventricular Cell (Beeler and Reuter 1977) [Model]

Behn CG, Brown EN, Scammell TE, Kopell NJ. (2007). Mathematical model of network dynamics governing mouse sleep-wake behavior. Journal of neurophysiology. 97 [PubMed]

Beim Graben P, Rodrigues S. (2012). A biophysical observation model for field potentials of networks of leaky integrate-and-fire neurons. Frontiers in computational neuroscience. 6 [PubMed]

• Biophysical model for field potentials of networks of I&F neurons (beim Graben & Serafim 2013) [Model]

Bekkers JM, Stevens CF. (1996). Cable properties of cultured hippocampal neurons determined from sucrose-evoked miniature EPSCs. Journal of neurophysiology. 75 [PubMed]

Benison G, Keizer J, Chalupa LM, Robinson DW. (2001). Modeling temporal behavior of postnatal cat retinal ganglion cells. Journal of theoretical biology. 210 [PubMed]

• Retinal Ganglion Cell: I-CaN and I-CaL (Benison et al. 2001) [Model]
• Retinal Ganglion Cell: I-Na,t (Benison et al 2001) [Model]
• Retinal Ganglion Cell: I-A (Benison et al 2001) [Model]

Best J, Park C, Terman D, Wilson C. (2007). Transitions between irregular and rhythmic firing patterns in excitatory-inhibitory neuronal networks. Journal of computational neuroscience. 23 [PubMed]

Bhadra N, Lahowetz EA, Foldes ST, Kilgore KL. (2007). Simulation of high-frequency sinusoidal electrical block of mammalian myelinated axons. Journal of computational neuroscience. 22 [PubMed]

Blethyn KL, Hughes SW, Tóth TI, Cope DW, Crunelli V. (2006). Neuronal basis of the slow (<1 Hz) oscillation in neurons of the nucleus reticularis thalami in vitro. The Journal of neuroscience : the official journal of the Society for Neuroscience. 26 [PubMed]

Bogaard A, Parent J, Zochowski M, Booth V. (2009). Interaction of cellular and network mechanisms in spatiotemporal pattern formation in neuronal networks. The Journal of neuroscience : the official journal of the Society for Neuroscience. 29 [PubMed]

• Small world networks of Type I and Type II Excitable Neurons (Bogaard et al. 2009) [Model]

Borg-Graham LJ. (2000). Additional efficient computation of branched nerve equations: adaptive time step and ideal voltage clamp. Journal of computational neuroscience. 8 [PubMed]

Boucher PA, Joós B, Morris CE. (2012). Coupled left-shift of Nav channels: modeling the Na?-loading and dysfunctional excitability of damaged axons. Journal of computational neuroscience. 33 [PubMed]

• Nodes of Ranvier with left-shifted Nav channels (Boucher et al. 2012) [Model]

Brennan EKW, Sudhakar SK, Jedrasiak-Cape I, John TT, Ahmed OJ. (2020). Hyperexcitable Neurons Enable Precise and Persistent Information Encoding in the Superficial Retrosplenial Cortex. Cell reports. 30 [PubMed]

• Two populations of excitatory neurons in the superficial retrosplenial cortex (Brennan et al 2020) [Model]

Brette R. (2004). Dynamics of one-dimensional spiking neuron models. Journal of mathematical biology. 48 [PubMed]

• Phase locking in leaky integrate-and-fire model (Brette 2004) [Model]

Brette R, Gerstner W. (2005). Adaptive exponential integrate-and-fire model as an effective description of neuronal activity. Journal of neurophysiology. 94 [PubMed]

• Adaptive exponential integrate-and-fire model (Brette & Gerstner 2005) [Model]

Brill MH, Waxman SG, Moore JW, Joyner RW. (1977). Conduction velocity and spike configuration in myelinated fibres: computed dependence on internode distance. Journal of neurology, neurosurgery, and psychiatry. 40 [PubMed]

• Myelinated axon conduction velocity (Brill et al 1977) [Model]

Brown AM. (2003). A modeling study predicts the presence of voltage gated Ca2+ channels on myelinated central axons. Computer methods and programs in biomedicine. 71 [PubMed]

• Prediction for the presence of voltage-gated Ca2+ channels in myelinated central axons (Brown 2003) [Model]

Brown E, Moehlis J, Holmes P. (2004). On the phase reduction and response dynamics of neural oscillator populations. Neural computation. 16 [PubMed]

Brown SA, Moraru II, Schaff JC, Loew LM. (2011). Virtual NEURON: a strategy for merged biochemical and electrophysiological modeling. Journal of computational neuroscience. 31 [PubMed]

• A simplified cerebellar Purkinje neuron (the PPR model) (Brown et al. 2011) [Model]

Bruce IC. (2007). Implementation issues in approximate methods for stochastic Hodgkin-Huxley models. Annals of biomedical engineering. 35 [PubMed]

• Implementation issues in approximate methods for stochastic Hodgkin-Huxley models (Bruce 2007) [Model]

Bruce IC et al. (1999). A stochastic model of the electrically stimulated auditory nerve: single-pulse response. IEEE transactions on bio-medical engineering. 46 [PubMed]

• Cochlear implant models (Bruce et al. 1999a, b, c, 2000) [Model]

Brunel N, Hansel D. (2006). How noise affects the synchronization properties of recurrent networks of inhibitory neurons. Neural computation. 18 [PubMed]

Buchholtz F, Golowasch J, Epstein IR, Marder E. (1992). Mathematical model of an identified stomatogastric ganglion neuron. Journal of neurophysiology. 67 [PubMed]

Buckingham SD, Spencer AN. (2002). Role of high-voltage activated potassium currents in high-frequency neuronal firing: evidence from a basal metazoan. Journal of neurophysiology. 88 [PubMed]

Bugmann G, Christodoulou C, Clarkson T. (). A Spiking Neuron Model: Applications and Learning. Neural Networks. 15

Butson CR, Clark GA. (2008). Random noise paradoxically improves light-intensity encoding in Hermissenda photoreceptor network. Journal of neurophysiology. 99 [PubMed]

Bédard C, Kröger H, Destexhe A. (2004). Modeling extracellular field potentials and the frequency-filtering properties of extracellular space. Biophysical journal. 86 [PubMed]

• Modeling local field potentials (Bedard et al. 2004) [Model]

Börgers C, Epstein S, Kopell NJ. (2005). Background gamma rhythmicity and attention in cortical local circuits: a computational study. Proceedings of the National Academy of Sciences of the United States of America. 102 [PubMed]

Börgers C, Kopell NJ. (2008). Gamma oscillations and stimulus selection. Neural computation. 20 [PubMed]

Canavier CC, Oprisan SA, Callaway JC, Ji H, Shepard PD. (2007). Computational model predicts a role for ERG current in repolarizing plateau potentials in dopamine neurons: implications for modulation of neuronal activity. Journal of neurophysiology. 98 [PubMed]

• ERG current in repolarizing plateau potentials in dopamine neurons (Canavier et al 2007) [Model]

Carnevale NT, Woolf TB, Shepherd GM. (1990). Neuron simulations with SABER. Journal of neuroscience methods. 33 [PubMed]

Carrillo RR, Ros E, Tolu S, Nieus T, D'Angelo E. (2008). Event-driven simulation of cerebellar granule cells. Bio Systems. 94 [PubMed]

Castelfranco AM, Hartline DK. (2004). Corrections for space-clamp errors in measured parameters of voltage-dependent conductances in a cylindrical neurite. Biological cybernetics. 90 [PubMed]

Cataldi M et al. (2007). Zn(2+) slows down Ca(V)3.3 gating kinetics: implications for thalamocortical activity. Journal of neurophysiology. 98 [PubMed]

Chacron MJ, Lindner B, Longtin A. (2007). Threshold fatigue and information transfer. Journal of computational neuroscience. 23 [PubMed]

Chambers JD, Bornstein JC, Gwynne RM, Koussoulas K, Thomas EA. (2014). A detailed, conductance-based computer model of intrinsic sensory neurons of the gastrointestinal tract. American journal of physiology. Gastrointestinal and liver physiology. 307 [PubMed]

• Intrinsic sensory neurons of the gut (Chambers et al. 2014) [Model]

Channell P, Fuwape I, Neiman AB, Shilnikov AL. (2009). Variability of bursting patterns in a neuron model in the presence of noise. Journal of computational neuroscience. 27 [PubMed]

• Reduced leech heart interneuron (Channell et al. 2009) [Model]

Chen BS, Lo YC, Lius YC, Wu SN. (2010). Effects of transient receptor potential-like current on the firing pattern of action potentials in the Hodgkin-Huxley neuron during exposure to sinusoidal external voltage. The Chinese journal of physiology. 53 [PubMed]

• Effect of trp-like current on APs during exposure to sinusoidal voltage (Chen et al. 2010) [Model]
• Squid axon (Hodgkin, Huxley 1952) used in (Chen et al 2010) (R language) [Model]

Chen E, Stiefel KM, Sejnowski TJ, Bullock TH. (2008). Model of traveling waves in a coral nerve network. Journal of comparative physiology. A, Neuroethology, sensory, neural, and behavioral physiology. 194 [PubMed]

Chen JY et al. (2015). Learning modifies odor mixture processing to improve detection of relevant components. The Journal of neuroscience : the official journal of the Society for Neuroscience. 35 [PubMed]

• A model of antennal lobe of bee (Chen JY et al. 2015) [Model]

Chow CC, White JA. (1996). Spontaneous action potentials due to channel fluctuations. Biophysical journal. 71 [PubMed]

• Spontaneous firing caused by stochastic channel gating (Chow, White 1996) [Model]

Clancy CE, Kass RS. (2004). Theoretical investigation of the neuronal Na+ channel SCN1A: abnormal gating and epilepsy. Biophysical journal. 86 [PubMed]

• Markov models of SCN1A (NaV1.1) applied to abnormal gating and epilepsy (Clancy and Kass 2004) [Model]

Clancy CE, Rudy Y. (1999). Linking a genetic defect to its cellular phenotype in a cardiac arrhythmia. Nature. 400 [PubMed]

• Ventricular cell model (Guinea-pig-type) (Luo, Rudy 1991, +11 other papers!) (C++) [Model]

Clancy CE, Rudy Y. (2001). Cellular consequences of HERG mutations in the long QT syndrome: precursors to sudden cardiac death. Cardiovascular research. 50 [PubMed]

• Consequences of HERG mutations in the long QT syndrome (Clancy, Rudy 2001) [Model]

Clay JR, Paydarfar D, Forger DB. (2008). A simple modification of the Hodgkin and Huxley equations explains type 3 excitability in squid giant axons. Journal of the Royal Society, Interface. 5 [PubMed]

• Model of Type 3 firing in neurons (Clay et al 2008) [Model]

Cohen A, Shappir J, Yitzchaik S, Spira ME. (2006). Experimental and theoretical analysis of neuron-transistor hybrid electrical coupling: the relationships between the electro-anatomy of cultured Aplysia neurons and the recorded field potentials. Biosensors & bioelectronics. 22 [PubMed]

Conde-Sousa E, Aguiar P. (2013). A working memory model for serial order that stores information in the intrinsic excitability properties of neurons. Journal of computational neuroscience. 35 [PubMed]

• Storing serial order in intrinsic excitability: a working memory model (Conde-Sousa & Aguiar 2013) [Model]

Contreras D, Destexhe A, Steriade M. (1997). Intracellular and computational characterization of the intracortical inhibitory control of synchronized thalamic inputs in vivo. Journal of neurophysiology. 78 [PubMed]

Coop AD, Reeke GN. (2001). The composite neuron: a realistic one-compartment Purkinje cell model suitable for large-scale neuronal network simulations. Journal of computational neuroscience. 10 [PubMed]

Cressman JR, Ullah G, Ziburkus J, Schiff SJ, Barreto E. (2009). The influence of sodium and potassium dynamics on excitability, seizures, and the stability of persistent states: I. Single neuron dynamics. Journal of computational neuroscience. 26 [PubMed]

• Single neuron with dynamic ion concentrations (Cressman et al. 2009) [Model]

Crisp KM, Heller C. (2016). A Hodgkin-Huxley model for conduction velocity in the medial giant fiber of the earthworm, Lumbricus terrestris Impulse.

• Earthworm medial giant fiber conduction velocity across electrical synapses (Heller, Crisp 2016) [Model]

Crook SM, Dur-E-Ahmad M, Baer SM. (2007). A model of activity-dependent changes in dendritic spine density and spine structure. Mathematical biosciences and engineering : MBE. 4 [PubMed]

• Activity dependent changes in dendritic spine density and spine structure (Crook et al. 2007) [Model]

Crotty P, Levy WB. (2006). Intersymbol interference in axonal transmission Neurocomputing. 69

Crotty P, Sangrey T, Levy WB. (2006). Metabolic energy cost of action potential velocity. Journal of neurophysiology. 96 [PubMed]

Cruz GE, Sahley CL, Muller KJ. (2007). Neuronal competition for action potential initiation sites in a circuit controlling simple learning. Neuroscience. 148 [PubMed]

• Competition for AP initiation sites in a circuit controlling simple learning (Cruz et al. 2007) [Model]

Cymbalyuk G, Shilnikov A. (2005). Coexistence of tonic spiking oscillations in a leech neuron model. Journal of computational neuroscience. 18 [PubMed]

D'Angelo E et al. (2001). Theta-frequency bursting and resonance in cerebellar granule cells: experimental evidence and modeling of a slow k+-dependent mechanism. The Journal of neuroscience : the official journal of the Society for Neuroscience. 21 [PubMed]

• Bursting and resonance in cerebellar granule cells (D'Angelo et al. 2001) [Model]

Dahlem MA, Schumacher J, Hübel N. (2014). Linking a genetic defect in migraine to spreading depression in a computational model. PeerJ. 2 [PubMed]

• Spreading depression model for FHM3 with Nav1.1 mutation (Dahlem et al. 2014) [Model]

Daneshzand M, Faezipour M, Barkana BD. (2017). Hyperbolic Modeling of Subthalamic Nucleus Cells to Investigate the Effect of Dopamine Depletion. Computational intelligence and neuroscience. 2017 [PubMed]

• Hyperbolic model (Daneshzand et al 2017) [Model]

Dangerfield CE, Kay D, Burrage K. (2012). Modeling ion channel dynamics through reflected stochastic differential equations Physical review. E, Statistical, nonlinear, and soft matter physics. 85 [PubMed]

• Reflected SDE Hodgkin-Huxley Model (Dangerfield et al. 2012) [Model]

Das A, Narayanan R. (2015). Active dendrites mediate stratified gamma-range coincidence detection in hippocampal model neurons. The Journal of physiology. 593 [PubMed]

Daur N, Diehl F, Mader W, Stein W. (2012). The stomatogastric nervous system as a model for studying sensorimotor interactions in real-time closed-loop conditions. Frontiers in computational neuroscience. 6 [PubMed]

• Interaction of leak and IMI conductance on the STG over broad temperature range (Stadele et al 2015) [Model]

Davison A. (2004). Biologically-detailed network modelling (Chapter 10) Computation Neuroscience: A Comprehensive Approach.

Davison AP, Feng J, Brown D. (2000). A reduced compartmental model of the mitral cell for use in network models of the olfactory bulb. Brain research bulletin. 51 [PubMed]

• Olfactory Mitral Cell (Davison et al 2000) [Model]

De Schutter E. (1999). Using realistic models to study synaptic integration in cerebellar Purkinje cells. Reviews in the neurosciences. 10 [PubMed]

De Schutter E. (2014). The dangers of plug-and-play simulation using shared models. Neuroinformatics. 12 [PubMed]

De Schutter E, Bower JM. (1994). An active membrane model of the cerebellar Purkinje cell. I. Simulation of current clamps in slice. Journal of neurophysiology. 71 [PubMed]

• Cerebellar purkinje cell (De Schutter and Bower 1994) [Model]

De Schutter E, Smolen P. (1998). Calcium dynamics in large neuronal models Methods In Neuronal Modeling: From Ions To Networks.

Destexhe A. (1997). Conductance-based integrate-and-fire models. Neural computation. 9 [PubMed]

Destexhe A. (1998). Spike-and-wave oscillations based on the properties of GABAB receptors. The Journal of neuroscience : the official journal of the Society for Neuroscience. 18 [PubMed]

Destexhe A. (1999). Can GABAA conductances explain the fast oscillation frequency of absence seizures in rodents? The European journal of neuroscience. 11 [PubMed]

Destexhe A. (2000). Modelling corticothalamic feedback and the gating of the thalamus by the cerebral cortex. Journal of physiology, Paris. 94 [PubMed]

Destexhe A, Babloyantz A, Sejnowski TJ. (1993). Ionic mechanisms for intrinsic slow oscillations in thalamic relay neurons. Biophysical journal. 65 [PubMed]

• Thalamocortical Relay cell under current clamp in high-conductance state (Zeldenrust et al 2018) [Model]

Destexhe A, Bal T, McCormick DA, Sejnowski TJ. (1996). Ionic mechanisms underlying synchronized oscillations and propagating waves in a model of ferret thalamic slices. Journal of neurophysiology. 76 [PubMed]

• Thalamocortical and Thalamic Reticular Network (Destexhe et al 1996) [Model]
• Thalamocortical Relay cell under current clamp in high-conductance state (Zeldenrust et al 2018) [Model]

Destexhe A, Contreras D, Sejnowski TJ, Steriade M. (1994). A model of spindle rhythmicity in the isolated thalamic reticular nucleus. Journal of neurophysiology. 72 [PubMed]

• Thalamic Reticular Network (Destexhe et al 1994) [Model]

Destexhe A, Contreras D, Steriade M. (1998). Mechanisms underlying the synchronizing action of corticothalamic feedback through inhibition of thalamic relay cells. Journal of neurophysiology. 79 [PubMed]

• Pyramidal Neuron: Deep, Thalamic Relay and Reticular, Interneuron (Destexhe et al 1998, 2001) [Model]

Destexhe A, Contreras D, Steriade M. (1999). Cortically-induced coherence of a thalamic-generated oscillation. Neuroscience. 92 [PubMed]

Destexhe A, Contreras D, Steriade M. (2001). LTS cells in cerebral cortex and their role in generating spike-and-wave oscillations. Neurocomputing. 38

• Pyramidal Neuron: Deep, Thalamic Relay and Reticular, Interneuron (Destexhe et al 1998, 2001) [Model]

Destexhe A, Contreras D, Steriade M, Sejnowski TJ, Huguenard JR. (1996). In vivo, in vitro, and computational analysis of dendritic calcium currents in thalamic reticular neurons. The Journal of neuroscience : the official journal of the Society for Neuroscience. 16 [PubMed]

• Thalamic reticular neurons: the role of Ca currents (Destexhe et al 1996) [Model]

Destexhe A, Huguenard JR. (2000). Nonlinear thermodynamic models of voltage-dependent currents. Journal of computational neuroscience. 9 [PubMed]

Destexhe A, Mainen ZF, Sejnowski TJ. (1994). Synthesis of models for excitable membranes, synaptic transmission and neuromodulation using a common kinetic formalism. Journal of computational neuroscience. 1 [PubMed]

• Application of a common kinetic formalism for synaptic models (Destexhe et al 1994) [Model]
• Kinetic synaptic models applicable to building networks (Destexhe et al 1998) [Model]

Destexhe A, Neubig M, Ulrich D, Huguenard J. (1998). Dendritic low-threshold calcium currents in thalamic relay cells. The Journal of neuroscience : the official journal of the Society for Neuroscience. 18 [PubMed]

• Low Threshold Calcium Currents in TC cells (Destexhe et al 1998) [Model]
• Thalamocortical Relay cell under current clamp in high-conductance state (Zeldenrust et al 2018) [Model]
• Low Threshold Calcium Currents in TC cells (Destexhe et al 1998) (Brian) [Model]

Destexhe A, Pare D. (2000). A combined computational and intracellular study of correlated synaptic bombardment in neocortical pyramidal neurons in vivo Neurocomputing. 32

Destexhe A, Rudolph M, Fellous JM, Sejnowski TJ. (2001). Fluctuating synaptic conductances recreate in vivo-like activity in neocortical neurons. Neuroscience. 107 [PubMed]

• Fluctuating synaptic conductances recreate in-vivo-like activity (Destexhe et al 2001) [Model]
• Thalamocortical Relay cell under current clamp in high-conductance state (Zeldenrust et al 2018) [Model]

Destexhe A, Rudolph M, Ho N. (2001). Synaptic background activity affects the dynamics of dendritic integration in model neocortical pyramidal neurons Neurocomputing. 38-40

Destexhe A, Sejnowski T, Mainen Z. (1995). Fast Kinetic Models for Simulating AMPA, NMDA, GABAA and GABAB Receptors The Neurobiology of Computation.

• Application of a common kinetic formalism for synaptic models (Destexhe et al 1994) [Model]

Destexhe A, Sejnowski TJ. (2002). The initiation of bursts in thalamic neurons and the cortical control of thalamic sensitivity. Philosophical transactions of the Royal Society of London. Series B, Biological sciences. 357 [PubMed]

Destexhe A, Sejnowski TJ. (2003). Interactions between membrane conductances underlying thalamocortical slow-wave oscillations. Physiological reviews. 83 [PubMed]

Diba K, Koch C, Segev I. (2006). Spike propagation in dendrites with stochastic ion channels. Journal of computational neuroscience. 20 [PubMed]

• Spike propagation in dendrites with stochastic ion channels (Diba et al. 2006) [Model]

Doi S, Kumagai S. (2005). Generation of very slow neuronal rhythms and chaos near the Hopf bifurcation in single neuron models. Journal of computational neuroscience. 19 [PubMed]

Doiron B, Laing C, Longtin A, Maler L. (2002). Ghostbursting: a novel neuronal burst mechanism. Journal of computational neuroscience. 12 [PubMed]

Doiron B, Longtin A, Berman N, Maler L. (2001). Subtractive and divisive inhibition: effect of voltage-dependent inhibitory conductances and noise. Neural computation. 13 [PubMed]

Doiron B, Longtin A, Turner RW, Maler L. (2001). Model of gamma frequency burst discharge generated by conditional backpropagation. Journal of neurophysiology. 86 [PubMed]

Doloc-Mihu A, Calabrese RL. (2011). A database of computational models of a half-center oscillator for analyzing how neuronal parameters influence network activity. Journal of biological physics. 37 [PubMed]

• Half-center oscillator database of leech heart interneuron model (Doloc-Mihu & Calabrese 2011) [Model]

Dougalis AG, Matthews GAC, Liss B, Ungless MA. (2017). Ionic currents influencing spontaneous firing and pacemaker frequency in dopamine neurons of the ventrolateral periaqueductal gray and dorsal raphe nucleus (vlPAG/DRN): A voltage-clamp and computational modelling study. Journal of computational neuroscience. 42 [PubMed]

• Dopamine neuron of the vent. periaqu. gray and dors. raphe nucleus (vlPAG/DRN) (Dougalis et al 2017) [Model]

Dudman JT, Nolan MF. (2009). Stochastically gating ion channels enable patterned spike firing through activity-dependent modulation of spike probability. PLoS computational biology. 5 [PubMed]

Durand DM, Hahn PJ. (2003). Bistability dynamics in simulations of neural activity in high-extracellular-potassium conditions. J Comput Neurosci. 11

Edwards FR, Hirst GD. (2006). An electrical analysis of slow wave propagation in the guinea-pig gastric antrum. The Journal of physiology. 571 [PubMed]

• Slow wave propagation in the guinea-pig gastric antrum (Hirst et al. 2006, Edwards and Hirst 2006) [Model]

Elaagouby A, Yuste R. (1999). Role of calcium electrogenesis in apical dendrites: generation of intrinsic oscillations by an axial current. Journal of computational neuroscience. 7 [PubMed]

Elinder F, Männikkö R, Pandey S, Larsson HP. (2006). Mode shifts in the voltage gating of the mouse and human HCN2 and HCN4 channels. The Journal of physiology. 575 [PubMed]

• Hysteresis in voltage gating of HCN channels (Elinder et al 2006, Mannikko et al 2005) [Model]

Engel J, Schultens HA, Schild D. (1999). Small conductance potassium channels cause an activity-dependent spike frequency adaptation and make the transfer function of neurons logarithmic. Biophysical journal. 76 [PubMed]

Epstein IR, Marder E. (1990). Multiple modes of a conditional neural oscillator. Biological cybernetics. 63 [PubMed]

• Multiple modes of a conditional neural oscillator (Epstein, Marder 1990) [Model]

Ermentrout GB, Terman DH. (2010). Mathematical Foundations of Neuroscience Interdisciplinary Applied Mathematics. 35

• Mathematical Foundations of Neuroscience (Ermentrout and Terman 2010) [Model]

Esser SK, Hill SL, Tononi G. (2007). Sleep homeostasis and cortical synchronization: I. Modeling the effects of synaptic strength on sleep slow waves. Sleep. 30 [PubMed]

Feng J, Brown D, Feerick S. (1999). Variability of firing of Hodgkin-Huxley and FitzHugh-Nagumo neurons with stochastic synaptic input. Physical Review Letters. 82

Fernandez FR, Mehaffey WH, Molineux ML, Turner RW. (2005). High-threshold K+ current increases gain by offsetting a frequency-dependent increase in low-threshold K+ current. The Journal of neuroscience : the official journal of the Society for Neuroscience. 25 [PubMed]

• Pyramidal neurons: IKHT offsets activation of IKLT to increase gain (Fernandez et al 2005) [Model]

Ferneyhough GB, Thibealut CM, Dascalu SM, Harris FC. (2016). ModFossa: A library for modeling ion channels using Python. Journal of bioinformatics and computational biology. 14 [PubMed]

• ModFossa: a library for modeling ion channels using Python (Ferneyhough et al 2016) [Model]

Fernández de Sevilla D, Fuenzalida M, Porto Pazos AB, Buño W. (2007). Selective shunting of the NMDA EPSP component by the slow afterhyperpolarization in rat CA1 pyramidal neurons. Journal of neurophysiology. 97 [PubMed]

Fietkiewicz C, Loparo KA, Wilson CG. (2011). Drive latencies in hypoglossal motoneurons indicate developmental change in the brainstem respiratory network. Journal of neural engineering. 8 [PubMed]

• Bursting respiratory net: clustered architecture gives large phase diff`s (Fietkiewicz et al 2011) [Model]

Fleidervish IA, Libman L. (2008). How cesium dialysis affects the passive properties of pyramidal neurons: implications for voltage clamp studies of persistent sodium current. Art. No. 035001 New Journal of Physics. 10

Fleidervish IA, Libman L, Katz E, Gutnick MJ. (2008). Endogenous polyamines regulate cortical neuronal excitability by blocking voltage-gated Na+ channels. Proceedings of the National Academy of Sciences of the United States of America. 105 [PubMed]

Fohlmeister JF, Miller RF. (1997). Mechanisms by which cell geometry controls repetitive impulse firing in retinal ganglion cells. Journal of neurophysiology. 78 [PubMed]

Fohlmeister JF, Miller RF. (1997). Impulse encoding mechanisms of ganglion cells in the tiger salamander retina. Journal of neurophysiology. 78 [PubMed]

• Salamander retinal ganglion cell: ion channels (Fohlmeister, Miller 1997) [Model]

Forrest MD. (2015). Simulation of alcohol action upon a detailed Purkinje neuron model and a simpler surrogate model that runs >400 times faster. BMC neuroscience. 16 [PubMed]

• Alcohol action in a detailed Purkinje neuron model and an efficient simplified model (Forrest 2015) [Model]

Fribance S, Wang J, Roppolo JR, de Groat WC, Tai C. (2016). Axonal model for temperature stimulation. Journal of computational neuroscience. 41 [PubMed]

• Axonal HH-model for temperature stimulation (Fribance et al 2016) [Model]

Fröhlich F, Jezernik S. (2004). Annihilation of single cell neural oscillations by feedforward and feedback control. Journal of computational neuroscience. 17 [PubMed]

Gabbiani F, Cox SJ. (2010). Mathematics for Neuroscientists.

• Mathematics for Neuroscientists (Gabbiani and Cox 2010) [Model]

Gabbiani F, Midtgaard J, Knöpfel T. (1994). Synaptic integration in a model of cerebellar granule cells. Journal of neurophysiology. 72 [PubMed]

• Synaptic integration in a model of granule cells (Gabbiani et al 1994) [Model]

Gansert J, Golowasch J, Nadim F. (2007). Sustained rhythmic activity in gap-junctionally coupled networks of model neurons depends on the diameter of coupled dendrites. Journal of neurophysiology. 98 [PubMed]

• Gap-junction coupled network activity depends on coupled dendrites diameter (Gansert et al. 2007) [Model]

García-Grajales JA, Rucabado G, García-Dopico A, Peña JM, Jérusalem A. (2015). Neurite, a finite difference large scale parallel program for the simulation of electrical signal propagation in neurites under mechanical loading. PloS one. 10 [PubMed]

• Neurite: electrophysiological-mechanical coupling simulation framework (Garcia-Grajales et al 2015) [Model]

Geisler C, Brunel N, Wang XJ. (2005). Contributions of intrinsic membrane dynamics to fast network oscillations with irregular neuronal discharges. Journal of neurophysiology. 94 [PubMed]

Gillies A, Willshaw D. (2004). Models of the subthalamic nucleus. The importance of intranuclear connectivity. Medical engineering & physics. 26 [PubMed]

Gingrich KJ, Byrne JH. (1985). Simulation of synaptic depression, posttetanic potentiation, and presynaptic facilitation of synaptic potentials from sensory neurons mediating gill-withdrawal reflex in Aplysia. Journal of neurophysiology. 53 [PubMed]

• SN-MN neurons of Aplysia (Zhou et al. 2014) [Model]

Giugliano M, Gambazzi L, Ballerini L, Prato M, Campidelli S. (2012). Carbon nanotubes as electrical interfaces to neurons Nanotechnology for Biology and Medicine.

• Carbon nanotubes as electrical interfaces to neurons (Giugliano et al. 2008) [Model]

Gloveli T et al. (2005). Orthogonal arrangement of rhythm-generating microcircuits in the hippocampus. Proceedings of the National Academy of Sciences of the United States of America. 102 [PubMed]

• Gamma and theta rythms in biophysical models of hippocampus circuits (Kopell et al. 2011) [Model]

Goldberg JA, Deister CA, Wilson CJ. (2007). Response properties and synchronization of rhythmically firing dendritic neurons. Journal of neurophysiology. 97 [PubMed]

• Role of active dendrites in rhythmically-firing neurons (Goldberg et al 2006) [Model]

Goldwyn JH, Imennov NS, Famulare M, Shea-Brown E. (2011). Stochastic differential equation models for ion channel noise in Hodgkin-Huxley neurons. Physical review. E, Statistical, nonlinear, and soft matter physics. 83 [PubMed]

• On stochastic diff. eq. models for ion channel noise in Hodgkin-Huxley neurons (Goldwyn et al. 2010) [Model]

Goldwyn JH, Shea-Brown E. (2011). The what and where of adding channel noise to the Hodgkin-Huxley equations. PLoS computational biology. 7 [PubMed]

• Stochastic versions of the Hodgkin-Huxley equations (Goldwyn, Shea-Brown 2011) [Model]
• Stochastic versions of the Hodgkin-Huxley equations (Goldwyn, Shea-Brown 2011) (pylab) [Model]

Gottschalk A, Haney P. (2003). Computational aspects of anesthetic action in simple neural models. Anesthesiology. 98 [PubMed]

Gradwohl G, Grossman Y. (2008). Analysis of the interaction between the dendritic conductance density and activated area in modulating alpha-motoneuron EPSP: statistical computer model. Neural computation. 20 [PubMed]

Grau-Serrat V, Carr CE, Simon JZ. (2003). Modeling coincidence detection in nucleus laminaris. Biological cybernetics. 89 [PubMed]

Greenberg RJ, Velte TJ, Humayun MS, Scarlatis GN, de Juan E. (1999). A computational model of electrical stimulation of the retinal ganglion cell. IEEE transactions on bio-medical engineering. 46 [PubMed]

Grein S, Stepniewski M, Reiter S, Knodel MM, Queisser G. (2014). 1D-3D hybrid modeling-from multi-compartment models to full resolution models in space and time. Frontiers in neuroinformatics. 8 [PubMed]

Grossman N, Nikolic K, Toumazou C, Degenaar P. (2011). Modeling study of the light stimulation of a neuron cell with channelrhodopsin-2 mutants. IEEE transactions on bio-medical engineering. 58 [PubMed]

Gurkiewicz M, Korngreen A. (2007). A numerical approach to ion channel modelling using whole-cell voltage-clamp recordings and a genetic algorithm. PLoS computational biology. 3 [PubMed]

• Ion channel modeling with whole cell and a genetic algorithm (Gurkiewicz and Korngreen 2007) [Model]

Gómez L, Budelli R, Pakdaman K. (2001). Dynamical behavior of a pacemaker neuron model with fixed delay stimulation. Physical review. E, Statistical, nonlinear, and soft matter physics. 64 [PubMed]

Górski T et al. (2018). Dendritic sodium spikes endow neurons with inverse firing rate response to correlated synaptic activity. Journal of computational neuroscience. 45 [PubMed]

• Response to correlated synaptic input for HH/IF point neuron vs with dendrite (Górski et al 2018) [Model]

Günay C, Prinz AA. (2010). Model calcium sensors for network homeostasis: sensor and readout parameter analysis from a database of model neuronal networks. The Journal of neuroscience : the official journal of the Society for Neuroscience. 30 [PubMed]

• Lobster STG pyloric network model with calcium sensor (Gunay & Prinz 2010) (Prinz et al. 2004) [Model]

Günay C et al. (2015). Distal spike initiation zone location estimation by morphological simulation of ionic current filtering demonstrated in a novel model of an identified Drosophila motoneuron. PLoS computational biology. 11 [PubMed]

• Drosophila 3rd instar larval aCC motoneuron (Gunay et al. 2015) [Model]

Haag J, Theunissen F, Borst A. (1997). The intrinsic electrophysiological characteristics of fly lobula plate tangential cells: II. Active membrane properties. Journal of computational neuroscience. 4 [PubMed]

• Fly lobular plate VS cell (Borst and Haag 1996, et al. 1997, et al. 1999) [Model]

Hadipour-Niktarash A. (2006). A computational model of how an interaction between the thalamocortical and thalamic reticular neurons transforms the low-frequency oscillations of the globus pallidus. Journal of computational neuroscience. 20 [PubMed]

• Thalamic transformation of pallidal input (Hadipour-Niktarash 2006) [Model]

Hales JP, Lin CS, Bostock H. (2004). Variations in excitability of single human motor axons, related to stochastic properties of nodal sodium channels. The Journal of physiology. 559 [PubMed]

Hallermann S, de Kock CP, Stuart GJ, Kole MH. (2012). State and location dependence of action potential metabolic cost in cortical pyramidal neurons. Nature neuroscience. 15 [PubMed]

• State and location dependence of action potential metabolic cost (Hallermann et al., 2012) [Model]

Halnes G, Augustinaite S, Heggelund P, Einevoll GT, Migliore M. (2011). A multi-compartment model for interneurons in the dorsal lateral geniculate nucleus. PLoS computational biology. 7 [PubMed]

• A multi-compartment model for interneurons in the dLGN (Halnes et al. 2011) [Model]

Hartline DK, Castelfranco AM. (2002). Simulations of space-clamp errors in estimating parameters of voltage-gated conductances localized at different electrotonic distances Neurocomputing. 44

Hartline DK, Castelfranco AM. (2003). Simulations of Voltage Clamping Poorly Space-Clamped Voltage-Dependent Conductances in a Uniform Cylindrical Neurite Journal of computational neuroscience. 14 [PubMed]

Heitmann S, Breakspear M. (2017). Chapter 1 Handbook for the Brain Dynamics Toolbox: Version 2018a.

• Brain Dynamics Toolbox (Heitmann & Breakspear 2016, 2017, 2018) [Model]

Henderson D, Miller RF. (2007). Low-voltage activated calcium currents in ganglion cells of the tiger salamander retina: experiment and simulation. Visual neuroscience. 24 [PubMed]

Hennings K, Arendt-Nielsen L, Andersen OK. (2005). Breakdown of accommodation in nerve: a possible role for persistent sodium current. Theoretical biology & medical modelling. 2 [PubMed]

• Breakdown of accmmodation in nerve: a possible role for INAp (Hennings et al 2005) [Model]

Hernández OE, Zurek EE. (2013). Teaching and learning the Hodgkin-Huxley model based on software developed in NEURON's programming language hoc. BMC medical education. 13 [PubMed]

• Software for teaching the Hodgkin-Huxley model (Hernandez & Zurek 2013) (SENB written in NEURON hoc) [Model]

Herzog RI, Cummins TR, Waxman SG. (2001). Persistent TTX-resistant Na+ current affects resting potential and response to depolarization in simulated spinal sensory neurons. Journal of neurophysiology. 86 [PubMed]

• TTX-R Na+ current effect on cell response (Herzog et al 2001) [Model]
• TTX-R Na+ current effect on cell response (Herzog et al 2001) (MATLAB) [Model]

Hill AA, Lu J, Masino MA, Olsen OH, Calabrese RL. (2001). A model of a segmental oscillator in the leech heartbeat neuronal network. Journal of computational neuroscience. 10 [PubMed]

• Leech heart interneuron network model (Hill et al 2001, 2002) [Model]

Hill AA, Masino MA, Calabrese RL. (2002). Model of intersegmental coordination in the leech heartbeat neuronal network. Journal of neurophysiology. 87 [PubMed]

• Leech heart interneuron network model (Hill et al 2001, 2002) [Model]

Hindmarsh JL, Rose RM. (1984). A model of neuronal bursting using three coupled first order differential equations. Proceedings of the Royal Society of London. Series B, Biological sciences. 221 [PubMed]

• A model of neuronal bursting using three coupled first order diff. eqs. (Hindmarsh & Rose 1984) [Model]

Holmes WR, Huwe JA, Williams B, Rowe MH, Peterson EH. (2017). Models of utricular bouton afferents: role of afferent-hair cell connectivity in determining spike train regularity. Journal of neurophysiology. 117 [PubMed]

• Role of afferent-hair cell connectivity in determining spike train regularity (Holmes et al 2017) [Model]

Horrigan FT, Cui J, Aldrich RW. (1999). Allosteric voltage gating of potassium channels I. Mslo ionic currents in the absence of Ca(2+). The Journal of general physiology. 114 [PubMed]

• Allosteric gating of K channels (Horrigan et al 1999) [Model]

Hossain WA, Antic SD, Yang Y, Rasband MN, Morest DK. (2005). Where is the spike generator of the cochlear nerve? Voltage-gated sodium channels in the mouse cochlea. The Journal of neuroscience : the official journal of the Society for Neuroscience. 25 [PubMed]

• AP initiation and propagation in type II cochlear ganglion cell (Hossain et al 2005) [Model]

Hu W et al. (2009). Distinct contributions of Na(v)1.6 and Na(v)1.2 in action potential initiation and backpropagation. Nature neuroscience. 12 [PubMed]

• Action Potential initiation and backpropagation in Neocortical L5 Pyramidal Neuron (Hu et al. 2009) [Model]

Huang S, Hong S, De Schutter E. (2015). Non-linear leak currents affect mammalian neuron physiology. Frontiers in cellular neuroscience. 9 [PubMed]

• Concentration dependent nonlinear K+ and Cl- leak current (Huang et al. 2015) [Model]

Hurwitz I, Ophir A, Korngreen A, Koester J, Susswein AJ. (2008). Currents contributing to decision making in neurons B31/B32 of Aplysia. Journal of neurophysiology. 99 [PubMed]

• Currents contributing to decision making in neurons B31-B32 of Aplysia (Hurwitz et al. 2008) [Model]

Huys QJ, Ahrens MB, Paninski L. (2006). Efficient estimation of detailed single-neuron models. Journal of neurophysiology. 96 [PubMed]

• Efficient estimation of detailed single-neuron models (Huys et al. 2006) [Model]

Huys QJ, Paninski L. (2009). Smoothing of, and parameter estimation from, noisy biophysical recordings. PLoS computational biology. 5 [PubMed]

• Smoothing of, and parameter estimation from, noisy biophysical recordings (Huys & Paninski 2009) [Model]

Hynna KM, Boahen K. (2007). Thermodynamically equivalent silicon models of voltage-dependent ion channels. Neural computation. 19 [PubMed]

Häusser M. (2003). Revealing the properties of dendritic voltage-gated channels: a new approach to the space clamp problem. Biophysical journal. 84 [PubMed]

Hô N, Destexhe A. (2000). Synaptic background activity enhances the responsiveness of neocortical pyramidal neurons. Journal of neurophysiology. 84 [PubMed]

Hübel N, Andrew RD, Ullah G. (2016). Large extracellular space leads to neuronal susceptibility to ischemic injury in a Na+/K+ pumps-dependent manner. Journal of computational neuroscience. 40 [PubMed]

• Anoxic depolarization, recovery: effect of brain regions and extracellular space (Hubel et al. 2016) [Model]

Hübel N, Ullah G. (2016). Anions Govern Cell Volume: A Case Study of Relative Astrocytic and Neuronal Swelling in Spreading Depolarization. PloS one. 11 [PubMed]

• An ion-based model for swelling of neurons and astrocytes (Hubel & Ullah 2016) [Model]

Igras E, Foweraker JP, Ware A, Hulliger M. (1998). Computer simulation of rhythm-generating networks. Annals of the New York Academy of Sciences. 860 [PubMed]

Izhikevich EM. (2004). Which model to use for cortical spiking neurons? IEEE transactions on neural networks. 15 [PubMed]

• Artificial neuron model (Izhikevich 2003, 2004, 2007) [Model]

Jacob T et al. (2019). A Proposed Mechanism for Spontaneous Transitions between Interictal and Ictal Activity. The Journal of neuroscience : the official journal of the Society for Neuroscience. 39 [PubMed]

• A NN with synaptic depression for testing the effects of connectivity on dynamics (Jacob et al 2019) [Model]

Jaffe DB et al. (1994). A model for dendritic Ca2+ accumulation in hippocampal pyramidal neurons based on fluorescence imaging measurements. Journal of neurophysiology. 71 [PubMed]

Jiang N, Englehart KB, Parker PA. (2007). A simulation method for the firing sequences of motor units. Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology. 17 [PubMed]

• A simulation method for the firing sequences of motor units (Jiang et al 2006) [Model]

Jin DZ, Ramazanoğlu FM, Seung HS. (2007). Intrinsic bursting enhances the robustness of a neural network model of sequence generation by avian brain area HVC. Journal of computational neuroscience. 23 [PubMed]

Jolivet R et al. (2008). A benchmark test for a quantitative assessment of simple neuron models. Journal of neuroscience methods. 169 [PubMed]

• Spike Response Model simulator (Jolivet et al. 2004, 2006, 2008) [Model]

Jolivet R, Lewis TJ, Gerstner W. (2004). Generalized integrate-and-fire models of neuronal activity approximate spike trains of a detailed model to a high degree of accuracy. Journal of neurophysiology. 92 [PubMed]

• Spike Response Model simulator (Jolivet et al. 2004, 2006, 2008) [Model]

Joos B, Barlow BM, Morris CE. (2018). Calculating the Consequences of Left-Shifted Nav Channel Activity in Sick Excitable Cells. Handbook of experimental pharmacology. 246 [PubMed]

• Calculating the consequences of left-shifted Nav channel activity in sick cells (Joos et al 2018) [Model]

Joyner RW, Westerfield M, Moore JW. (1980). Effects of cellular geometry on current flow during a propagated action potential. Biophysical journal. 31 [PubMed]

• Current flow during PAP in squid axon at diameter change (Joyner et al 1980) [Model]

Kager H, Wadman WJ, Somjen GG. (2000). Simulated seizures and spreading depression in a neuron model incorporating interstitial space and ion concentrations. Journal of neurophysiology. 84 [PubMed]

Kager H, Wadman WJ, Somjen GG. (2002). Conditions for the triggering of spreading depression studied with computer simulations. Journal of neurophysiology. 88 [PubMed]

Kahlig KM, Misra SN, George AL. (2006). Impaired inactivation gate stabilization predicts increased persistent current for an epilepsy-associated SCN1A mutation. The Journal of neuroscience : the official journal of the Society for Neuroscience. 26 [PubMed]

Kalitzin S, van Dijk BW, Spekreijse H. (2000). Self-organized dynamics in plastic neural networks: bistability and coherence. Biological cybernetics. 83 [PubMed]

Kanold PO, Manis PB. (1999). Transient potassium currents regulate the discharge patterns of dorsal cochlear nucleus pyramidal cells. The Journal of neuroscience : the official journal of the Society for Neuroscience. 19 [PubMed]

• CN pyramidal fusiform cell (Kanold, Manis 2001) [Model]

Kanold PO, Manis PB. (2001). A physiologically based model of discharge pattern regulation by transient K+ currents in cochlear nucleus pyramidal cells. Journal of neurophysiology. 85 [PubMed]

• CN pyramidal fusiform cell (Kanold, Manis 2001) [Model]

Keren N, Peled N, Korngreen A. (2005). Constraining compartmental models using multiple voltage recordings and genetic algorithms. Journal of neurophysiology. 94 [PubMed]

Khaliq ZM, Gouwens NW, Raman IM. (2003). The contribution of resurgent sodium current to high-frequency firing in Purkinje neurons: an experimental and modeling study. The Journal of neuroscience : the official journal of the Society for Neuroscience. 23 [PubMed]

• Cerebellar Purkinje Cell: resurgent Na current and high frequency firing (Khaliq et al 2003) [Model]

Kilinc D, Demir A. (2015). Simulation of noise in neurons and neuronal circuits Proceedings of the IEEE/ACM international conference on computer-aided design (ICCAD).

• A neuronal circuit simulator for non Monte Carlo analysis of neuronal noise (Kilinc & Demir 2018) [Model]

Kilinc D, Demir A. (2017). Noise in Neuronal and Electronic Circuits: A General Modeling Framework and Non-Monte Carlo Simulation Techniques. IEEE transactions on biomedical circuits and systems. 11 [PubMed]

• A neuronal circuit simulator for non Monte Carlo analysis of neuronal noise (Kilinc & Demir 2018) [Model]

Kling U, Székely G. (1968). Simulation of rhythmic nervous activities. I. Function of networks with cyclic inhibitions. Kybernetik. 5 [PubMed]

• Irregular oscillations produced by cyclic recurrent inhibition (Friesen, Friesen 1994) [Model]

Knowlton C, Kutterer S, Roeper J, Canavier CC. (2018). Calcium dynamics control K-ATP channel-mediated bursting in substantia nigra dopamine neurons: a combined experimental and modeling study. Journal of neurophysiology. 119 [PubMed]

• Model for K-ATP mediated bursting in mSNc DA neurons (Knowlton et al 2018) [Model]

Knox AT, Glauser T, Tenney J, Lytton WW, Holland K. (2018). Modeling pathogenesis and treatment response in childhood absence epilepsy. Epilepsia. 59 [PubMed]

• Knox implementation of Destexhe 1998 spike and wave oscillation model (Knox et al 2018) [Model]

Kobayashi R, Tsubo Y, Shinomoto S. (2009). Made-to-order spiking neuron model equipped with a multi-timescale adaptive threshold. Frontiers in computational neuroscience. 3 [PubMed]

• Multi-timescale adaptive threshold model (Kobayashi et al 2009) (NEURON) [Model]
• Multi-timescale adaptive threshold model (Kobayashi et al 2009) [Model]

Kochubey S, Savtchenko L. (2008). Geometrical size of the neuronal network plays a key role in synchronization of its activity Neurophysiology. 40(3)

Kole MH, Hallermann S, Stuart GJ. (2006). Single Ih channels in pyramidal neuron dendrites: properties, distribution, and impact on action potential output. The Journal of neuroscience : the official journal of the Society for Neuroscience. 26 [PubMed]

• Stochastic Ih and Na-channels in pyramidal neuron dendrites (Kole et al 2006) [Model]

Komarov M et al. (2018). New class of reduced computationally efficient neuronal models for large-scale simulations of brain dynamics. Journal of computational neuroscience. 44 [PubMed]

Komendantov AO, Kononenko NI. (1996). Deterministic chaos in mathematical model of pacemaker activity in bursting neurons of snail, Helix pomatia. Journal of theoretical biology. 183 [PubMed]

• Deterministic chaos in a mathematical model of a snail neuron (Komendantov and Kononenko 1996) [Model]

Kopell N, Rotstein HG, Clewley R. (2005). A Computational Tool for the Reduction of Nonlinear ODE Systems Possessing Multiple Scales Multiscale modeling & simulation. 4(3)

• Reduction of nonlinear ODE systems possessing multiple scales (Clewley et al. 2005) [Model]

Korngreen A, Kaiser KM, Zilberter Y. (2005). Subthreshold inactivation of voltage-gated K+ channels modulates action potentials in neocortical bitufted interneurones from rats. The Journal of physiology. 562 [PubMed]

• Subthreshold inact. of K channels modulates APs in bitufted interneurons (Korngreen et al 2005) [Model]

Korngreen A, Sakmann B. (2000). Voltage-gated K+ channels in layer 5 neocortical pyramidal neurones from young rats: subtypes and gradients. The Journal of physiology. 525 Pt 3 [PubMed]

• Pyramidal Neuron Deep: K+ kinetics (Korngreen, Sakmann 2000) [Model]

Kovalsky Y, Amir R, Devor M. (2008). Subthreshold oscillations facilitate neuropathic spike discharge by overcoming membrane accommodation. Experimental neurology. 210 [PubMed]

Kozloski J, Wagner J. (2011). An Ultrascalable Solution to Large-scale Neural Tissue Simulation. Frontiers in neuroinformatics. 5 [PubMed]

Kretzberg J, Egelhaaf M, Warzecha AK. (2001). Membrane potential fluctuations determine the precision of spike timing and synchronous activity: a model study. Journal of computational neuroscience. 10 [PubMed]

Kufel DS, Wojcik GM. (2018). Analytical modelling of temperature effects on an AMPA-type synapse. Journal of computational neuroscience. 44 [PubMed]

• Analytical modelling of temperature effects on an AMPA-type synapse (Kufel & Wojcik 2018) [Model]

Kuo JJ, Lee RH, Zhang L, Heckman CJ. (2006). Essential role of the persistent sodium current in spike initiation during slowly rising inputs in mouse spinal neurones. The Journal of physiology. 574 [PubMed]

Kurian M, Crook SM, Jung R. (2011). Motoneuron model of self-sustained firing after spinal cord injury. Journal of computational neuroscience. 31 [PubMed]

• Motoneuron model of self-sustained firing after spinal cord injury (Kurian et al. 2011) [Model]

Le Franc Y, Le Masson G. (2010). Multiple firing patterns in deep dorsal horn neurons of the spinal cord: computational analysis of mechanisms and functional implications. Journal of neurophysiology. 104 [PubMed]

Le Masson G, Przedborski S, Abbott LF. (2014). A computational model of motor neuron degeneration. Neuron. 83 [PubMed]

Lee J, Boas DA, Kim SJ. (2011). Multiphysics neuron model for cellular volume dynamics. IEEE transactions on bio-medical engineering. 58 [PubMed]

• A multiphysics neuron model for cellular volume dynamics (Lee et al. 2011) [Model]

Lee SG, Kim S. (2006). Bifurcation analysis of mode-locking structure in a Hodgkin-Huxley neuron under sinusoidal current. Physical review. E, Statistical, nonlinear, and soft matter physics. 73 [PubMed]

• Squid axon: Bifurcation analysis of mode-locking (Lee & Kim 2006) (Gangal & Dar 2014) [Model]

Lepora NF, Overton PG, Gurney K. (2012). Efficient fitting of conductance-based model neurons from somatic current clamp. Journal of computational neuroscience. 32 [PubMed]

• Parameter estimation for Hodgkin-Huxley based models of cortical neurons (Lepora et al. 2011) [Model]

Leys SP, Mackie GO, Meech RW. (1999). Impulse conduction in a sponge. The Journal of experimental biology. 202 (Pt 9) [PubMed]

Li G, Cleland TA. (2013). A two-layer biophysical model of cholinergic neuromodulation in olfactory bulb. The Journal of neuroscience : the official journal of the Society for Neuroscience. 33 [PubMed]

• A two-layer biophysical olfactory bulb model of cholinergic neuromodulation (Li and Cleland 2013) [Model]

Li G, Henriquez CS, Fröhlich F. (2017). Unified Thalamic Model Generates Multiple Distinct Oscillations with State-dependent Entrainment by Stimulation PLOS Computational Biology. 13(10)

• A unified thalamic model of multiple distinct oscillations (Li, Henriquez and Fröhlich 2017) [Model]

Li YX, Bertram R, Rinzel J. (1996). Modeling N-methyl-D-aspartate-induced bursting in dopamine neurons. Neuroscience. 71 [PubMed]

• Bursting in dopamine neurons (Li YX et al 1996) [Model]

Linaro D, Couto J, Giugliano M. (2014). Command-line cellular electrophysiology for conventional and real-time closed-loop experiments. Journal of neuroscience methods. 230 [PubMed]

• Phase response curves firing rate dependency of rat purkinje neurons in vitro (Couto et al 2015) [Model]

Linaro D, Storace M, Giugliano M. (2011). Accurate and fast simulation of channel noise in conductance-based model neurons by diffusion approximation. PLoS computational biology. 7 [PubMed]

• Accurate and fast simulation of channel noise in conductance-based model neurons (Linaro et al 2011) [Model]

Lindgren CA, Moore JW. (1989). Identification of ionic currents at presynaptic nerve endings of the lizard. The Journal of physiology. 414 [PubMed]

• Nerve terminal currents at lizard neuromuscular junction (Lindgren, Moore 1989) [Model]

Lindsay AE, Lindsay KA, Rosenberg JR. (2005). Increased computational accuracy in multi-compartmental cable models by a novel approach for precise point process localization. Journal of computational neuroscience. 19 [PubMed]

• Increased computational accuracy in multi-compartmental cable models (Lindsay et al. 2005) [Model]

Lindsay KA, Ogden JM, Rosenberg JR. (2002). An investigation into the influence of boundary condition specification in finite difference methods on the behaviour of passive and active neuronal models. Progress in biophysics and molecular biology. 78 [PubMed]

Liu CY, Xiao C, Fraser SE, Lester HA, Koos DS. (2012). Electrophysiological characterization of Grueneberg ganglion olfactory neurons: spontaneous firing, sodium conductance, and hyperpolarization-activated currents. Journal of neurophysiology. 108 [PubMed]

• Model of repetitive firing in Grueneberg ganglion olfactory neurons (Liu et al., 2012) [Model]

Liu Y, Milton J, Campbell SA. (2019). Outgrowing seizures in Childhood Absence Epilepsy: time delays and bistability. Journal of computational neuroscience. 46 [PubMed]

• Thalamocortical loop with delay for investigation of absence epilepsy (Liu et al 2019) [Model]

Liu Z, Golowasch J, Marder E, Abbott LF. (1998). A model neuron with activity-dependent conductances regulated by multiple calcium sensors. The Journal of neuroscience : the official journal of the Society for Neuroscience. 18 [PubMed]

• Activity dependent conductances in a neuron model (Liu et al. 1998) [Model]

Lopreore CL et al. (2008). Computational modeling of three-dimensional electrodiffusion in biological systems: application to the node of Ranvier. Biophysical journal. 95 [PubMed]

Lovelace JJ, Cios KJ. (2008). A very simple spiking neuron model that allows for modeling of large, complex systems. Neural computation. 20 [PubMed]

Lubba CH et al. (2019). PyPNS: Multiscale Simulation of a Peripheral Nerve in Python. Neuroinformatics. 17 [PubMed]

• PyPNS: Multiscale Simulation of a Peripheral Nerve in Python (Lubba et al 2018) [Model]

Luo CH, Rudy Y. (1991). A model of the ventricular cardiac action potential. Depolarization, repolarization, and their interaction. Circulation research. 68 [PubMed]

• Ventricular cell model (Guinea-pig-type) (Luo, Rudy 1991, +11 other papers!) (C++) [Model]
• Cardiac action potential based on Luo-Rudy phase 1 model (Luo and Rudy 1991), (Wu 2004) [Model]

Luo CH, Rudy Y. (1994). A dynamic model of the cardiac ventricular action potential. I. Simulations of ionic currents and concentration changes. Circulation research. 74 [PubMed]

• Ventricular cell model (Guinea-pig-type) (Luo, Rudy 1991, +11 other papers!) (C++) [Model]

Lytton WW et al. (2016). Simulation Neurotechnologies for Advancing Brain Research: Parallelizing Large Networks in NEURON. Neural computation. 28 [PubMed]

• Parallelizing large networks in NEURON (Lytton et al. 2016) [Model]

Lytton WW, Sejnowski TJ. (1991). Simulations of cortical pyramidal neurons synchronized by inhibitory interneurons. Journal of neurophysiology. 66 [PubMed]

Lytton WW, Sejnowski TJ. (1992). Computer model of ethosuximide's effect on a thalamic neuron. Annals of neurology. 32 [PubMed]

Lytton WW, Wathey JC. (1992). Realistic single-neuron modeling Seminars In Neuroscience. 4

López-Jury L, Meza RC, Brown MTC, Henny P, Canavier CC. (2018). Morphological and Biophysical Determinants of the Intracellular and Extracellular Waveforms in Nigral Dopaminergic Neurons: A Computational Study. The Journal of neuroscience : the official journal of the Society for Neuroscience. 38 [PubMed]

• Determinants of the intracellular and extracellular waveforms in DA neurons (Lopez-Jury et al 2018) [Model]

Lüscher HR, Larkum ME. (1998). Modeling action potential initiation and back-propagation in dendrites of cultured rat motoneurons. Journal of neurophysiology. 80 [PubMed]

Magalhães B, Hines M, Sterling T, Schüermann F. (2019). Exploiting Flow Graph of System of ODEs to Accelerate the Simulation of Biologically-Detailed Neural Networks 2019 IEEE International Parallel and Distributed Processing Symposium (IPDPS).

• Fully-Asynchronous Cache-Efficient Simulation of Detailed Neural Networks (Magalhaes et al 2019) [Model]

Magalhães BR, Sterling T, Hines M, Schürmann F. (2019). Fully-Asynchronous Cache-Efficient Simulation of Detailed Neural Networks Computational Science -- ICCS 2019.

• Fully-Asynchronous Cache-Efficient Simulation of Detailed Neural Networks (Magalhaes et al 2019) [Model]

Magalhães BRC, Sterling T, Hines M, Schürmann F. (2019). Asynchronous Branch-Parallel Simulation of Detailed Neuron Models. Frontiers in neuroinformatics. 13 [PubMed]

• Fully-Asynchronous Cache-Efficient Simulation of Detailed Neural Networks (Magalhaes et al 2019) [Model]

Mahapatra C, Brain KL, Manchanda R. (2018). A biophysically constrained computational model of the action potential of mouse urinary bladder smooth muscle. PloS one. 13 [PubMed]

• Action potential of mouse urinary bladder smooth muscle (Mahapatra et al 2018) [Model]

Maia PD, Kutz JN. (2014). Compromised axonal functionality after neurodegeneration, concussion and/or traumatic brain injury. Journal of computational neuroscience. 37 [PubMed]

Mainen ZF, Joerges J, Huguenard JR, Sejnowski TJ. (1995). A model of spike initiation in neocortical pyramidal neurons. Neuron. 15 [PubMed]

• Spike Initiation in Neocortical Pyramidal Neurons (Mainen et al 1995) [Model]

Makadia HK et al. (2015). Multiscale model of dynamic neuromodulation integrating neuropeptide-induced signaling pathway activity with membrane electrophysiology. Biophysical journal. 108 [PubMed]

• Model of AngII signaling and membrane electrophysiology (Makadia, Anderson, Fey et al., 2015) [Model]

Mandge D, Manchanda R. (2015). Computational studies on bladder small dorsal root ganglion neurons: Modelling BK channels. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference. 2015 [PubMed]

Martínez-Cañada P, Morillas C, Pino B, Ros E, Pelayo F. (2016). A Computational Framework for Realistic Retina Modeling. International journal of neural systems. 26 [PubMed]

• COREM: configurable retina simulator (Martínez-Cañada et al., 2016) [Model]

Masoli S, Solinas S, D'Angelo E. (2015). Action potential processing in a detailed Purkinje cell model reveals a critical role for axonal compartmentalization. Frontiers in cellular neuroscience. 9 [PubMed]

• A detailed Purkinje cell model (Masoli et al 2015) [Model]

Massobrio G, Martinoia S, Massobrio P. (2018). Equivalent Circuit of the Neuro-Electronic Junction for Signal Recordings From Planar and Engulfed Micro-Nano-Electrodes. IEEE transactions on biomedical circuits and systems. 12 [PubMed]

• The neuro-electronic junction (planar and engulfed electrodes) (Massobrio et al 2018) [Model]

Masurkar AV, Chen WR. (2011). Calcium currents of olfactory bulb juxtaglomerular cells: profile and multiple conductance plateau potential simulation. Neuroscience. 192 [PubMed]

• Calcium and potassium currents of olfactory bulb juxtaglomerular cells (Masurkar and Chen 2011) [Model]

Masurkar AV, Chen WR. (2011). Potassium currents of olfactory bulb juxtaglomerular cells: characterization, simulation, and implications for plateau potential firing. Neuroscience. 192 [PubMed]

• Calcium and potassium currents of olfactory bulb juxtaglomerular cells (Masurkar and Chen 2011) [Model]

Mathias EJ, Plank MJ, David T. (2017). A model of neurovascular coupling and the BOLD response: PART I. Computer methods in biomechanics and biomedical engineering. 20 [PubMed]

• A model of neurovascular coupling and the BOLD response (Mathias et al 2017, Kenny et al 2018) [Model]

Matsubara T, Torikai H. (2016). An Asynchronous Recurrent Network of Cellular Automaton-Based Neurons and Its Reproduction of Spiking Neural Network Activities. IEEE transactions on neural networks and learning systems. 27 [PubMed]

Mazza M, de Pinho M, Piqueira JR, Roque AC. (2004). A dynamical model of fast cortical reorganization. Journal of computational neuroscience. 16 [PubMed]

McDougal RA, Bulanova AS, Lytton WW. (2016). Reproducibility in Computational Neuroscience Models and Simulations. IEEE transactions on bio-medical engineering. 63 [PubMed]

McIntyre CC, Grill WM. (1999). Excitation of central nervous system neurons by nonuniform electric fields. Biophysical journal. 76 [PubMed]

McIntyre CC, Richardson AG, Grill WM. (2002). Modeling the excitability of mammalian nerve fibers: influence of afterpotentials on the recovery cycle. Journal of neurophysiology. 87 [PubMed]

• Spinal Motor Neuron (McIntyre et al 2002) [Model]

Medlock L et al. (2022). Multiscale computer model of the spinal dorsal horn reveals changes in network processing associated with chronic pain The Journal of neuroscience : the official journal of the Society for Neuroscience. 42 [PubMed]

• Spinal Dorsal Horn Network Model (Medlock et al 2022) [Model]

Menon V, Spruston N, Kath WL. (2009). A state-mutating genetic algorithm to design ion-channel models. Proceedings of the National Academy of Sciences of the United States of America. 106 [PubMed]

• Hippocampus CA1 pyramidal model with Na channel exhibiting slow inactivation (Menon et al. 2009) [Model]

Meuth P et al. (2005). Get the rhythm: modeling neuronal activity. Journal of undergraduate neuroscience education : JUNE : a publication of FUN, Faculty for Undergraduate Neuroscience. 4 [PubMed]

• Thalamic neuron: Modeling rhythmic neuronal activity (Meuth et al. 2005) [Model]

Mino H, Rubinstein JT, White JA. (2002). Comparison of algorithms for the simulation of action potentials with stochastic sodium channels. Annals of biomedical engineering. 30 [PubMed]

Mishra D, Yadav A, Ray S, Kalra PK. (2005). Nonlinear Dynamical Analysis on Coupled Modified Fitzhugh-Nagumo Neuron Model Advances in Neural Network - ISNN 2005 , Lecture notes in Computer Science. 3496/2005

Miyasho T et al. (2001). Low-threshold potassium channels and a low-threshold calcium channel regulate Ca2+ spike firing in the dendrites of cerebellar Purkinje neurons: a modeling study. Brain research. 891 [PubMed]

• Cerebellar purkinje cell: K and Ca channels regulate APs (Miyasho et al 2001) [Model]

Moffitt MA, McIntyre CC, Grill WM. (2004). Prediction of myelinated nerve fiber stimulation thresholds: limitations of linear models. IEEE transactions on bio-medical engineering. 51 [PubMed]

Mohapatra DP et al. (2009). Regulation of intrinsic excitability in hippocampal neurons by activity-dependent modulation of the KV2.1 potassium channel. Channels (Austin, Tex.). 3 [PubMed]

Montefusco F, Tagliavini A, Ferrante M, Pedersen MG. (2017). Concise Whole-Cell Modeling of BKCa-CaV Activity Controlled by Local Coupling and Stoichiometry. Biophysical journal. 112 [PubMed]

• BK - CaV coupling (Montefusco et al. 2017) [Model]

Moore JW. (2015). Enhancing the Hodgkin-Huxley Equations: Simulations Based on the First Publication in the Biophysical Journal. Biophysical journal. 109 [PubMed]

• Enhancing the HH eqs: simulations based on the first publication in Biophys J (Moore 2015) [Model]

Moore JW, Cox EB. (1976). A kinetic model for the sodium conductance system in squid axon. Biophysical journal. 16 [PubMed]

Moore JW, Joyner RW, Brill MH, Waxman SD, Najar-Joa M. (1978). Simulations of conduction in uniform myelinated fibers. Relative sensitivity to changes in nodal and internodal parameters. Biophysical journal. 21 [PubMed]

• Conduction in uniform myelinated axons (Moore et al 1978) [Model]

Moore JW, Stockbridge N, Westerfield M. (1983). On the site of impulse initiation in a neurone. The Journal of physiology. 336 [PubMed]

• Site of impulse initiation in a neuron (Moore et al 1983) [Model]

Moore LE, Buchanan JT. (1993). The effects of neurotransmitters on the integrative properties of spinal neurons in the lamprey. The Journal of experimental biology. 175 [PubMed]

Moore LE, Hill RH, Grillner S. (1993). Voltage-clamp frequency domain analysis of NMDA-activated neurons. The Journal of experimental biology. 175 [PubMed]

Moortgat KT, Bullock TH, Sejnowski TJ. (2000). Gap junction effects on precision and frequency of a model pacemaker network. Journal of neurophysiology. 83 [PubMed]

Morris C, Lecar H. (1981). Voltage oscillations in the barnacle giant muscle fiber. Biophysical journal. 35 [PubMed]

• Morris-Lecar model of the barnacle giant muscle fiber (Morris, Lecar 1981) [Model]

Morse TM. (2008). ModelDB in computational neuroscience education - a research tool as interactive educational media. Brains, minds & media : journal of new media in neural and cognitive science and education. 3 [PubMed]

Moustafa M, Mousa MH, Saad MS, Basha T, Elbasiouny SM. (2023). Bifurcation analysis of motoneuronal excitability mechanisms under normal and ALS conditions Frontiers in cellular neuroscience. 17 [PubMed]

• Relating anatomical and biophysical properties to motoneuron excitabilty (Moustafa et al. 2023) [Model]

Mukunda CL, Narayanan R. (2017). Degeneracy in the regulation of short-term plasticity and synaptic filtering by presynaptic mechanisms. The Journal of physiology. 595 [PubMed]

• Conductance based model for short term plasticity at CA3-CA1 synapses (Mukunda & Narayanan 2017) [Model]

Muresan RC, Savin C. (2007). Resonance or integration? Self-sustained dynamics and excitability of neural microcircuits. Journal of neurophysiology. 97 [PubMed]

Männikkö R, Pandey S, Larsson HP, Elinder F. (2005). Hysteresis in the voltage dependence of HCN channels: conversion between two modes affects pacemaker properties. The Journal of general physiology. 125 [PubMed]

• Hysteresis in voltage gating of HCN channels (Elinder et al 2006, Mannikko et al 2005) [Model]

Nadim F, Manor Y, Nusbaum MP, Marder E. (1998). Frequency regulation of a slow rhythm by a fast periodic input. The Journal of neuroscience : the official journal of the Society for Neuroscience. 18 [PubMed]

• Regulation of a slow STG rhythm (Nadim et al 1998) [Model]

Narayanan R, Johnston D. (2008). The h channel mediates location dependence and plasticity of intrinsic phase response in rat hippocampal neurons. The Journal of neuroscience : the official journal of the Society for Neuroscience. 28 [PubMed]

• Resonance properties through Chirp stimulus responses (Narayanan Johnston 2007, 2008) [Model]

Naze S, Bernard C, Jirsa V. (2015). Computational modeling of seizure dynamics using coupled neuronal networks: factors shaping epileptiform activity. PLoS computational biology. 11 [PubMed]

• Multiscale modeling of epileptic seizures (Naze et al. 2015) [Model]

Nicoletti M et al. (2024). Biophysical modeling of the whole-cell dynamics of C. elegans motor and interneurons families. PloS one. 19 [PubMed]

• C.elegans motor and interneurons (Nicoletti at al. 2024) [Model]

Nicoletti M et al. (2019). Biophysical modeling of C. elegans neurons: Single ion currents and whole-cell dynamics of AWCon and RMD PloS one. 14 [PubMed]

• Biophysical models of AWCon and RMD C. elegans neurons (M. Nicoletti at al. 2019) [Model]

Ohura S, Kamiya H. (2018). Sodium Channel-Dependent and -Independent Mechanisms Underlying Axonal Afterdepolarization at Mouse Hippocampal Mossy Fibers. eNeuro. 5 [PubMed]

• Evaluation of passive component of propagating AP in mossy fiber axons (Ohura & Kamiya 2018) [Model]

Olufsen MS, Whittington MA, Camperi M, Kopell N. (2003). New roles for the gamma rhythm: population tuning and preprocessing for the Beta rhythm. Journal of computational neuroscience. 14 [PubMed]

Oláh VJ, Tarcsay G, Brunner J. (2021). Small size of recorded neuronal structures confines the accuracy in direct axonal voltage measurements. eNeuro. 8 [PubMed]

• Realistic amplifier model (Oláh et al. 2021) [Model]

Omurtag A, Lytton WW. (2010). Spectral method and high-order finite differences for the nonlinear cable equation. Neural computation. 22 [PubMed]

• Spectral method and high-order finite differences for nonlinear cable (Omurtag and Lytton 2010) [Model]

Ori H, Marder E, Marom S. (2018). Cellular function given parametric variation in the Hodgkin and Huxley model of excitability. Proceedings of the National Academy of Sciences of the United States of America. 115 [PubMed]

• Cellular function given parametric variation in the HH model of excitability (Ori et al 2018) [Model]

Orio P, Soudry D. (2012). Simple, fast and accurate implementation of the diffusion approximation algorithm for stochastic ion channels with multiple states. PloS one. 7 [PubMed]

• Simple and accurate Diffusion Approximation algor. for stochastic ion channels (Orio & Soudry 2012) [Model]

Parker JR, Klishko AN, Prilutsky BI, Cymbalyuk GS. (2021). Asymmetric and transient properties of reciprocal activity of antagonists during the paw-shake response in the cat PLoS computational biology. 17 [PubMed]

• Cat Locomotion and Paw-Shaking Central Pattern Generator Model (Parker et al 2021) [Model]

Paré D, Lang EJ, Destexhe A. (1998). Inhibitory control of somatodendritic interactions underlying action potentials in neocortical pyramidal neurons in vivo: an intracellular and computational study. Neuroscience. 84 [PubMed]

Pashut T et al. (2011). Mechanisms of magnetic stimulation of central nervous system neurons. PLoS computational biology. 7 [PubMed]

• Mechanisms of magnetic stimulation of central nervous system neurons (Pashut et al. 2011) [Model]

Patel SP, Campbell DL. (2005). Transient outward potassium current, 'Ito', phenotypes in the mammalian left ventricle: underlying molecular, cellular and biophysical mechanisms. The Journal of physiology. 569 [PubMed]

Pelot NA et al. (2021). Excitation Properties of Computational Models of Unmyelinated Peripheral Axons Journal of neurophysiology. 125 [PubMed]

• Excitation Properties of Computational Models of Unmyelinated Peripheral Axons (Pelot et al., 2021) [Model]

Pelz C, Jander J, Rosenboom H, Hammer M, Menzel R. (1999). IA in Kenyon cells of the mushroom body of honeybees resembles shaker currents: kinetics, modulation by K+, and simulation. Journal of neurophysiology. 81 [PubMed]

• I A in Kenyon cells resemble Shaker currents (Pelz et al 1999) [Model]

Perkel DH, Mulloney B, Budelli RW. (1981). Quantitative methods for predicting neuronal behavior. Neuroscience. 6 [PubMed]

Pernelle G, Nicola W, Clopath C. (2018). Gap junction plasticity as a mechanism to regulate network-wide oscillations. PLoS computational biology. 14 [PubMed]

• Gap junction plasticity as a mechanism to regulate network-wide oscillations (Pernelle et al 2018) [Model]

Perreault MC, Raastad M. (2006). Contribution of morphology and membrane resistance to integration of fast synaptic signals in two thalamic cell types. The Journal of physiology. 577 [PubMed]

Pezo D, Soudry D, Orio P. (2014). Diffusion approximation-based simulation of stochastic ion channels: which method to use? Frontiers in computational neuroscience. 8 [PubMed]

• Comparison of DA-based Stochastic Algorithms (Pezo et al. 2014) [Model]

Phillips AJ, Robinson PA. (2007). A quantitative model of sleep-wake dynamics based on the physiology of the brainstem ascending arousal system. Journal of biological rhythms. 22 [PubMed]

• Quantitative model of sleep-wake dynamics (Phillips & Robinson 2007) [Model]

Platkiewicz J, Brette R. (2010). A threshold equation for action potential initiation. PLoS computational biology. 6 [PubMed]

• A threshold equation for action potential initiation (Platkiewicz & Brette 2010) [Model]

Podlaski WF et al. (2017). Mapping the function of neuronal ion channels in model and experiment. eLife. 6 [PubMed]

Pospischil M et al. (2008). Minimal Hodgkin-Huxley type models for different classes of cortical and thalamic neurons. Biological cybernetics. 99 [PubMed]

• Hodgkin-Huxley models of different classes of cortical neurons (Pospischil et al. 2008) [Model]

Powers RK, Heckman CJ. (2015). Contribution of intrinsic motoneuron properties to discharge hysteresis and its estimation based on paired motor unit recordings: a simulation study. Journal of neurophysiology. 114 [PubMed]

• Discharge hysteresis in motoneurons (Powers & Heckman 2015) [Model]

Prescott SA, De Koninck Y, Sejnowski TJ. (2008). Biophysical basis for three distinct dynamical mechanisms of action potential initiation. PLoS computational biology. 4 [PubMed]

• Dynamics of Spike Initiation (Prescott et al. 2008) [Model]

Publio R, Oliveira RF, Roque AC. (2009). A computational study on the role of gap junctions and rod Ih conductance in the enhancement of the dynamic range of the retina. PloS one. 4 [PubMed]

• A network model of the vertebrate retina (Publio et al. 2009) [Model]

Puglisi JL, Bers DM. (2001). LabHEART: an interactive computer model of rabbit ventricular myocyte ion channels and Ca transport. American journal of physiology. Cell physiology. 281 [PubMed]

• A cardiac cell simulator (Puglisi and Bers 2001), applied to the QT interval (Busjahn et al 2004) [Model]

Purvis LK, Butera RJ. (2005). Ionic current model of a hypoglossal motoneuron. Journal of neurophysiology. 93 [PubMed]

• Ionic current model of a Hypoglossal Motoneuron (Purvis & Butera 2005) [Model]

Purvis LK, Smith JC, Koizumi H, Butera RJ. (2007). Intrinsic bursters increase the robustness of rhythm generation in an excitatory network. Journal of neurophysiology. 97 [PubMed]

• Pacemaker neurons and respiratory rhythm generation (Purvis et al 2007) [Model]

Quadroni R, Knöpfel T. (1994). Compartmental models of type A and type B guinea pig medial vestibular neurons. Journal of neurophysiology. 72 [PubMed]

• Medial vestibular neuron models (Quadroni and Knopfel 1994) [Model]

RALL W. (1962). Electrophysiology of a dendritic neuron model. Biophysical journal. 2 [PubMed]

Rall W. (1964). Theoretical significance of dendritic trees for neuronal input output relations Neural Theory and Modeling.

• Effects of synaptic location and timing on synaptic integration (Rall 1964) [Model]

Rall W. (1964). Theoretical significance of dendritic trees for neuronal input-output relations The Theoretical Foundation of Dendritic Function: Selected Papers of Wilfrid Rall with Commentaries.

• Effects of synaptic location and timing on synaptic integration (Rall 1964) [Model]

Rall W, Shepherd GM. (1968). Theoretical reconstruction of field potentials and dendrodendritic synaptic interactions in olfactory bulb. Journal of neurophysiology. 31 [PubMed]

• Theoretical reconstrucion of field potentials and dendrodendritic synaptic...(Rall & Shepherd 1968) [Model]

Ray S, Aldworth ZN, Stopfer MA. (2020). Feedback inhibition and its control in an insect olfactory circuit. eLife. 9 [PubMed]

• Locust olfactory network with GGN and full KC population in the mushroom body (Ray et al 2020) [Model]

Reilly JP. (2016). Survey of numerical electrostimulation models. Physics in medicine and biology. 61 [PubMed]

• Extracellular stimulation of myelinated axon (Reilly 2016) [Model]

Rempe MJ, Best J, Terman D. (2010). A mathematical model of the sleep/wake cycle. Journal of mathematical biology. 60 [PubMed]

• Human sleep/wake cycle (Rempe et al. 2010) [Model]

Richard A, Orio P, Tanré E. (2018). An integrate-and-fire model to generate spike trains with long-range dependence Journal of Computational Neuroscience.

• Perfect Integrate and fire with noisy adaptation or fractional noise (Richard et al 2018) [Model]

Roberts PD, Zhang JM, Bell CC, Iancu OD. (2007). Postsynaptic modulation of electrical EPSP size investigated using a compartmental model Neurocomputing. 70

Ros E, Carrillo R, Ortigosa EM, Barbour B, Agís R. (2006). Event-driven simulation scheme for spiking neural networks using lookup tables to characterize neuronal dynamics. Neural computation. 18 [PubMed]

Roth A, Häusser M. (2001). Compartmental models of rat cerebellar Purkinje cells based on simultaneous somatic and dendritic patch-clamp recordings. The Journal of physiology. 535 [PubMed]

Rothman JS, Manis PB. (2003). The roles potassium currents play in regulating the electrical activity of ventral cochlear nucleus neurons. Journal of neurophysiology. 89 [PubMed]

• CN bushy, stellate neurons (Rothman, Manis 2003) [Model]
• CN bushy, stellate neurons (Rothman, Manis 2003) (Brian) [Model]
• CN bushy, stellate neurons (Rothman, Manis 2003) (Brian 2) [Model]
• A biophysical model of vestibular ganglion neurons (Hight & Kalluri 2016, Ventura & Kalluri 2018) [Model]

Rothman JS, Manis PB. (2003). Kinetic analyses of three distinct potassium conductances in ventral cochlear nucleus neurons. Journal of neurophysiology. 89 [PubMed]

• CN bushy, stellate neurons (Rothman, Manis 2003) [Model]

Rowat P. (2007). Interspike interval statistics in the stochastic Hodgkin-Huxley model: coexistence of gamma frequency bursts and highly irregular firing. Neural computation. 19 [PubMed]

Rowat PF, Elson RC. (2004). State-dependent effects of Na channel noise on neuronal burst generation. Journal of computational neuroscience. 16 [PubMed]

Royeck M et al. (2008). Role of axonal NaV1.6 sodium channels in action potential initiation of CA1 pyramidal neurons. Journal of neurophysiology. 100 [PubMed]

• Axonal NaV1.6 Sodium Channels in AP Initiation of CA1 Pyramidal Neurons (Royeck et al. 2008) [Model]

Rubin DB, Cleland TA. (2006). Dynamical mechanisms of odor processing in olfactory bulb mitral cells. Journal of neurophysiology. 96 [PubMed]

• Dynamical model of olfactory bulb mitral cell (Rubin, Cleland 2006) [Model]

Rubin JE. (2005). Surprising effects of synaptic excitation. Journal of computational neuroscience. 18 [PubMed]

Rudolph M, Destexhe A. (2001). Do neocortical pyramidal neurons display stochastic resonance? Journal of computational neuroscience. 11 [PubMed]

Rudolph M, Destexhe A. (2001). Correlation detection and resonance in neural systems with distributed noise sources. Physical review letters. 86 [PubMed]

Rudolph M, Destexhe A. (2003). The discharge variability of neocortical neurons during high-conductance states. Neuroscience. 119 [PubMed]

Rudolph M, Destexhe A. (2003). Tuning neocortical pyramidal neurons between integrators and coincidence detectors. Journal of computational neuroscience. 14 [PubMed]

Rudolph M, Destexhe A. (2003). A fast-conducting, stochastic integrative mode for neocortical neurons in vivo. The Journal of neuroscience : the official journal of the Society for Neuroscience. 23 [PubMed]

Rudolph M, Destexhe A. (2003). Characterization of subthreshold voltage fluctuations in neuronal membranes. Neural computation. 15 [PubMed]

Rudolph M, Destexhe A. (2006). Analytical integrate-and-fire neuron models with conductance-based dynamics for event-driven simulation strategies. Neural computation. 18 [PubMed]

Rulkov NF, Timofeev I, Bazhenov M. (2004). Oscillations in large-scale cortical networks: map-based model. Journal of computational neuroscience. 17 [PubMed]

• Large cortex model with map-based neurons (Rulkov et al 2004) [Model]

Rusakov DA, Stewart MG, Korogod SM. (1996). Branching of active dendritic spines as a mechanism for controlling synaptic efficacy. Neuroscience. 75 [PubMed]

• Spine fusion and branching affects synaptic response (Rusakov et al 1996, 1997) [Model]

Safronov BV, Wolff M, Vogel W. (2000). Excitability of the soma in central nervous system neurons. Biophysical journal. 78 [PubMed]

• Excitability of the soma in central nervous system neurons (Safronov et al 2000) [Model]

Sailamul P, Jang J, Paik SB. (2017). Synaptic convergence regulates synchronization-dependent spike transfer in feedforward neural networks. Journal of computational neuroscience. 43 [PubMed]

• Convergence regulates synchronization-dependent AP transfer in feedforward NNs (Sailamul et al 2017) [Model]

Sakurai A, Darghouth NR, Butera RJ, Katz PS. (2006). Serotonergic enhancement of a 4-AP-sensitive current mediates the synaptic depression phase of spike timing-dependent neuromodulation. The Journal of neuroscience : the official journal of the Society for Neuroscience. 26 [PubMed]

Sangrey TD, Friesen WO, Levy WB. (2004). Analysis of the optimal channel density of the squid giant axon using a reparameterized Hodgkin-Huxley model. Journal of neurophysiology. 91 [PubMed]

Sautois B, Soffe SR, Li WC, Roberts A. (2007). Role of type-specific neuron properties in a spinal cord motor network. Journal of computational neuroscience. 23 [PubMed]

Schaefer AT, Helmstaedter M, Sakmann B, Korngreen A. (2003). Correction of conductance measurements in non-space-clamped structures: 1. Voltage-gated K+ channels. Biophysical journal. 84 [PubMed]

• Correcting space clamp in dendrites (Schaefer et al. 2003 and 2007) [Model]

Schild JH et al. (1994). A- and C-type rat nodose sensory neurons: model interpretations of dynamic discharge characteristics. Journal of neurophysiology. 71 [PubMed]

• Nodose sensory neuron (Schild et al. 1994, Schild and Kunze 1997) [Model]

Schmerl BA, McDonnell MD. (2013). Channel noise induced stochastic facilitation in an auditory brainstem neuron model Physical review. E, Statistical, nonlinear, and soft matter physics. 88 [PubMed]

• Simulating ion channel noise in an auditory brainstem neuron model (Schmerl & McDonnell 2013) [Model]

Schmidt-Hieber C, Bischofberger J. (2010). Fast sodium channel gating supports localized and efficient axonal action potential initiation. The Journal of neuroscience : the official journal of the Society for Neuroscience. 30 [PubMed]

• Fast sodium channel gating in mossy fiber axons (Schmidt-Hieber et al. 2010) [Model]

Schwarz JR, Reid G, Bostock H. (1995). Action potentials and membrane currents in the human node of Ranvier. Pflugers Archiv : European journal of physiology. 430 [PubMed]

• Peripheral nerve:Morris-Lecar implementation of (Schwarz et al 1995) [Model]

Shapiro BE. (2001). Osmotic forces and gap junctions in spreading depression: a computational model. Journal of computational neuroscience. 10 [PubMed]

Shen GY, Chen WR, Midtgaard J, Shepherd GM, Hines ML. (1999). Computational analysis of action potential initiation in mitral cell soma and dendrites based on dual patch recordings. Journal of neurophysiology. 82 [PubMed]

• Action potential initiation in the olfactory mitral cell (Shen et al 1999) [Model]

Shepherd GM, Brayton RK. (1987). Logic operations are properties of computer-simulated interactions between excitable dendritic spines. Neuroscience. 21 [PubMed]

Sherfey JS et al. (2018). DynaSim: A MATLAB Toolbox for Neural Modeling and Simulation. Frontiers in neuroinformatics. 12 [PubMed]

• DynaSim: a MATLAB toolbox for neural modeling and simulation (Sherfey et al 2018) [Model]

Shorten PR, Robson AB, McKinnon AE, Wall DJ. (2000). CRH-induced electrical activity and calcium signalling in pituitary corticotrophs. Journal of theoretical biology. 206 [PubMed]

Shorten PR, Wall DJ. (2000). A Hodgkin-Huxley model exhibiting bursting oscillations. Bulletin of mathematical biology. 62 [PubMed]

Sikdar SK, Majumdar S. (). Periodicity in Na+ channel properties alters excitability of a model neuron Biochem Biophys Res Commun.. (in press)

• Periodicity in Na channel properties alters model neuron excitability (Majumdar and Sikdar 2007) [Model]

Sim CK, Forger DB. (2007). Modeling the electrophysiology of suprachiasmatic nucleus neurons. Journal of biological rhythms. 22 [PubMed]

Smith P et al. (2018). A Drosophila Model of Essential Tremor. Scientific reports. 8 [PubMed]

• Drosophila circadian clock neurone model of essential tremor (Smith et al 2018) [Model]

Sohal VS, Huguenard JR. (1998). Long-range connections synchronize rather than spread intrathalamic oscillations: computational modeling and in vitro electrophysiology. Journal of neurophysiology. 80 [PubMed]

Sohal VS, Huntsman MM, Huguenard JR. (2000). Reciprocal inhibitory connections regulate the spatiotemporal properties of intrathalamic oscillations. The Journal of neuroscience : the official journal of the Society for Neuroscience. 20 [PubMed]

Solinas S et al. (2007). Computational reconstruction of pacemaking and intrinsic electroresponsiveness in cerebellar Golgi cells. Frontiers in cellular neuroscience. 1 [PubMed]

• Cerebellar Golgi cell (Solinas et al. 2007a, 2007b) [Model]

Somjen GG. (2001). Mechanisms of spreading depression and hypoxic spreading depression-like depolarization. Physiological reviews. 81 [PubMed]

Soudry D, Meir R. (2014). The neuronal response at extended timescales: a linearized spiking input-output relation. Frontiers in computational neuroscience. 8 [PubMed]

• Method for deriving general HH neuron model`s spiking input-output relation (Soudry & Meir 2014) [Model]

Sousa M, Szucs P, Lima D, Aguiar P. (2014). The pronociceptive dorsal reticular nucleus contains mostly tonic neurons and shows a high prevalence of spontaneous activity in block preparation. Journal of neurophysiology. 111 [PubMed]

• DRt neuron model (Sousa et al., 2014) [Model]

Spain WJ, Fairhall AL, Lundstrom BN, Famulare M, Sorensen LB. (2009). Sensitivity of firing rate to input fluctuations depends on time scale separation between fast and slow variables in single neurons J Comput Neurosci. in press

• Hodgkin-Huxley simplifed 2D and 3D models (Lundstrom et al. 2009) [Model]

Stanley DA, Bardakjian BL, Spano ML, Ditto WL. (2011). Stochastic amplification of calcium-activated potassium currents in Ca2+ microdomains. Journal of computational neuroscience. 31 [PubMed]

• CA1 pyramidal: Stochastic amplification of KCa in Ca2+ microdomains (Stanley et al. 2011) [Model]

Stanley DA et al. (2013). Phase shift in the 24-hour rhythm of hippocampal EEG spiking activity in a rat model of temporal lobe epilepsy. Journal of neurophysiology. 110 [PubMed]

• Hippocampal CA3 network and circadian regulation (Stanley et al. 2013) [Model]

Stein W, Harris AL. (2022). Interneuronal dynamics facilitate the initiation of spike block in cortical microcircuits Journal of computational neuroscience. 50 [PubMed]

• Cortical Interneuron & Pyramidal Cell Model of Cortical Spreading Depression (Stein & Harris 2022) [Model]

Stein W, Straub O, Ausborn J, Mader W, Wolf H. (2008). Motor pattern selection by combinatorial code of interneuronal pathways. Journal of computational neuroscience. 25 [PubMed]

• A model of the femur-tibia control system in stick insects (Stein et al. 2008) [Model]
• Interaction of leak and IMI conductance on the STG over broad temperature range (Stadele et al 2015) [Model]

Steinmetz PN, Manwani A, Koch C, London M, Segev I. (2000). Subthreshold voltage noise due to channel fluctuations in active neuronal membranes. Journal of computational neuroscience. 9 [PubMed]

Stemme A, Deco G, Busch A. (2007). The neuronal dynamics underlying cognitive flexibility in set shifting tasks. Journal of computational neuroscience. 23 [PubMed]

Sterratt DC, Graham B, Gillies A, Willshaw D. (2011). Principles of Computational Modelling in Neuroscience, Cambridge University Press.

• Principles of Computational Modelling in Neuroscience (Book) (Sterratt et al. 2011) [Model]

Sterratt DC, Groen MR, Meredith RM, van Ooyen A. (2012). Spine calcium transients induced by synaptically-evoked action potentials can predict synapse location and establish synaptic democracy. PLoS computational biology. 8 [PubMed]

• CA1 pyramidal neuron: synaptically-induced bAP predicts synapse location (Sterratt et al. 2012) [Model]

Stewart RD, Bair W. (2009). Spiking neural network simulation: numerical integration with the Parker-Sochacki method. Journal of computational neuroscience. 27 [PubMed]

• Numerical Integration of Izhikevich and HH model neurons (Stewart and Bair 2009) [Model]

Stiefel KM, Gutkin BS, Sejnowski TJ. (2009). The effects of cholinergic neuromodulation on neuronal phase-response curves of modeled cortical neurons. Journal of computational neuroscience. 26 [PubMed]

• Cortical pyramidal neuron, phase response curve (Stiefel et al 2009) [Model]

Sudhakar SK, Choi TJ, Ahmed OJ. (2019). Biophysical Modeling Suggests Optimal Drug Combinations for Improving the Efficacy of GABA Agonists after Traumatic Brain Injuries. Journal of neurotrauma. 36 [PubMed]

• Biophysical modeling of pathological brain states (Sudhakar et al 2019) [Model]

Surkis A, Peskin CS, Tranchina D, Leonard CS. (1998). Recovery of cable properties through active and passive modeling of subthreshold membrane responses from laterodorsal tegmental neurons. Journal of neurophysiology. 80 [PubMed]

Susi G et al. (2021). FNS allows efficient event-driven spiking neural network simulations based on a neuron model supporting spike latency Scientific reports. 11 [PubMed]

• FNS spiking neural simulator; LIFL neuron model, event-driven simulation (Susi et al 2021) [Model]

Susswein AJ, Hurwitz I, Thorne R, Byrne JH, Baxter DA. (2002). Mechanisms underlying fictive feeding in aplysia: coupling between a large neuron with plateau potentials activity and a spiking neuron. Journal of neurophysiology. 87 [PubMed]

Sánchez E, Barro S, Mariño J, Canedo A. (2003). A computational model of cuneothalamic projection neurons. Network (Bristol, England). 14 [PubMed]

Sætra MJ, Einevoll GT, Halnes G. (2021). An electrodiffusive neuron-extracellular-glia model for exploring the genesis of slow potentials in the brain PLoS computational biology. 17 [PubMed]

• The electrodiffusive neuron-extracellular-glia (edNEG) model (Sætra et al. 2021) [Model]

Tabak J, Moore LE. (1998). Simulation and parameter estimation study of a simple neuronal model of rhythm generation: role of NMDA and non-NMDA receptors. Journal of computational neuroscience. 5 [PubMed]

Tabak J, Murphey CR, Moore LE. (2000). Parameter estimation methods for single neuron models. Journal of computational neuroscience. 9 [PubMed]

Tabak J, Tomaiuolo M, Gonzalez-Iglesias AE, Milescu LS, Bertram R. (2011). Fast-activating voltage- and calcium-dependent potassium (BK) conductance promotes bursting in pituitary cells: a dynamic clamp study. The Journal of neuroscience : the official journal of the Society for Neuroscience. 31 [PubMed]

• BK Channels Promote Bursting in Pituitary Cells (Tabak et al 2011) [Model]

Takagi H, Kawasaki M. (2003). Modeling of time disparity detection by the Hodgkin-Huxley equations. Journal of comparative physiology. A, Neuroethology, sensory, neural, and behavioral physiology. 189 [PubMed]

Takagi H, Sato R, Mori M, Ito E, Suzuki H. (1998). Roles of A- and D-type K channels in EPSP integration at a model dendrite. Neuroscience letters. 254 [PubMed]

Takahata M, Takashima A, Hikosaka R. (2000). Information processing by nonspiking interneurons: passive and active properties of dendritic membrane determine synaptic integration. Bio Systems. 58 [PubMed]

• Synaptic integration of an identified nonspiking interneuron in crayfish (Takashima et al 2006) [Model]

Takashima A, Hikosaka R, Takahata M. (2006). Functional significance of passive and active dendritic properties in the synaptic integration by an identified nonspiking interneuron of crayfish. Journal of neurophysiology. 96 [PubMed]

• Synaptic integration of an identified nonspiking interneuron in crayfish (Takashima et al 2006) [Model]

Tatsuno M, Okada M. (2004). Investigation of possible neural architectures underlying information-geometric measures. Neural computation. 16 [PubMed]

Thomas EA, Petrou S. (2013). Network-specific mechanisms may explain the paradoxical effects of carbamazepine and phenytoin. Epilepsia. 54 [PubMed]

• State dependent drug binding to sodium channels in the dentate gyrus (Thomas & Petrou 2013) [Model]

Thomson AM, Destexhe A. (1999). Dual intracellular recordings and computational models of slow inhibitory postsynaptic potentials in rat neocortical and hippocampal slices. Neuroscience. 92 [PubMed]

Tikidji-Hamburyan RA, El-Ghazawi TA, Narayana V, Bozkus Z. (2017). Software for Brain Network Simulations: A Comparative Study Front. Neuroinform..

• Brain networks simulators - a comparative study (Tikidji-Hamburyan et al 2017) [Model]

Tikidji-Hamburyan RA, Leonik CA, Canavier CC. (2019). Phase response theory explains cluster formation in sparsely but strongly connected inhibitory neural networks and effects of jitter due to sparse connectivity. Journal of neurophysiology. 121 [PubMed]

• Phase response theory in sparsely + strongly connected inhibitory NNs (Tikidji-Hamburyan et al 2019) [Model]

Tobin AE, Van Hooser SD, Calabrese RL. (2006). Creation and reduction of a morphologically detailed model of a leech heart interneuron. Journal of neurophysiology. 96 [PubMed]

Tonnelier A. (2005). Categorization of neural excitability using threshold models. Neural computation. 17 [PubMed]

Torkkeli PH, French AS. (2002). Simulation of different firing patterns in paired spider mechanoreceptor neurons: the role of Na(+) channel inactivation. Journal of neurophysiology. 87 [PubMed]

Tseng SH, Tsai LY, Yeh SR. (2008). Induction of high-frequency oscillations in a junction-coupled network. The Journal of neuroscience : the official journal of the Society for Neuroscience. 28 [PubMed]

• High frequency oscillations induced in three gap-junction coupled neurons (Tseng et al. 2008) [Model]

Tsutsui H, Oka Y. (2001). Effects of characteristic dendritic tip geometry on the electrical properties of teleost thalamic neurons. Journal of neurophysiology. 85 [PubMed]

• Dendritic tip geometry effects electrical properties (Tsutsui, Oka 2001) [Model]

Tsutsui H, Oka Y. (2002). Slow removal of Na(+) channel inactivation underlies the temporal filtering property in the teleost thalamic neurons. The Journal of physiology. 539 [PubMed]

• Novel Na current with slow de-inactivation (Tsutsui, Oka 2002) [Model]

Tunstall MJ, Roberts A, Soffe SR. (2002). Modelling inter-segmental coordination of neuronal oscillators: synaptic mechanisms for uni-directional coupling during swimming in Xenopus tadpoles. Journal of computational neuroscience. 13 [PubMed]

Tóth TI, Crunelli V. (1995). A numerical procedure to estimate kinetic and steady-state characteristics of inactivating ionic currents. Journal of neuroscience methods. 63 [PubMed]

• NEUROFIT: fitting HH models to voltage clamp data (Willms 2002) [Model]

Tóth TI, Crunelli V. (1998). Effects of tapering geometry and inhomogeneous ion channel distribution in a neuron model. Neuroscience. 84 [PubMed]

Tóth TI, Crunelli V. (1999). Solution of the nerve cable equation using Chebyshev approximations. Journal of neuroscience methods. 87 [PubMed]

Tóth TI, Crunelli V. (2001). Estimation of the activation and kinetic properties of I(Na) and I(K) from the time course of the action potential. Journal of neuroscience methods. 111 [PubMed]

• Channel parameter estimation from current clamp and neuronal properties (Toth, Crunelli 2001) [Model]

Upchurch CM, Knowlton CJ, Chamberland S, Canavier CC. (2024). Persistent Interruption in Parvalbumin-Positive Inhibitory Interneurons: Biophysical and Mathematical Mechanisms. eNeuro. 11 [PubMed]

• Persistent Interruption in Parvalbumin-Positive Inhibitory Interneurons: Biophysical and Mathematical Mechanisms (Upchurch et al., 2024) [Model]

Van Pottelbergh T, Drion G, Sepulchre R. (2018). Robust Modulation of Integrate-and-Fire Models. Neural computation. 30 [PubMed]

• Robust modulation of integrate-and-fire models (Van Pottelbergh et al 2018) [Model]

Vasalou C, Henson MA. (2010). A multiscale model to investigate circadian rhythmicity of pacemaker neurons in the suprachiasmatic nucleus. PLoS computational biology. 6 [PubMed]

• A multiscale approach to analyze circadian rhythms (Vasalou & Henson, 2010) (CellML) [Model]
• A multiscale approach to analyze circadian rhythms (Vasalou & Henson, 2010) (SBML) [Model]

Vavoulis DV et al. (2007). Dynamic control of a central pattern generator circuit: a computational model of the snail feeding network. The European journal of neuroscience. 25 [PubMed]

Venkadesh S et al. (2018). Evolving Simple Models of Diverse Intrinsic Dynamics in Hippocampal Neuron Types. Frontiers in neuroinformatics. 12 [PubMed]

• Evolving simple models of diverse dynamics in hippocampal neuron types (Venkadesh et al 2018) [Model]

Venugopal S et al. (2019). Resurgent Na+ Current Offers Noise Modulation in Bursting Neurons. PLoS computational biology. 15 [PubMed]

• Resurgent Na+ current offers noise modulation in bursting neurons (Venugopal et al 2019) [Model]

Venugopal S, Travers JB, Terman DH. (2007). A computational model for motor pattern switching between taste-induced ingestion and rejection oromotor behaviors. Journal of computational neuroscience. 22 [PubMed]

Veredas FJ, Vico FJ, Alonso JM. (2005). Factors determining the precision of the correlated firing generated by a monosynaptic connection in the cat visual pathway. The Journal of physiology. 567 [PubMed]

Versace M, Ames H, Léveillé J, Fortenberry B, Gorchetchnikov A. (2008). KInNeSS: a modular framework for computational neuroscience. Neuroinformatics. 6 [PubMed]

• KInNeSS : a modular framework for computational neuroscience (Versace et al. 2008) [Model]

Via G, Faber J, Cavalheiro EA. (2017). Computational Models for the Propagation of Spreading Depression Waves Computational Neuroscience.

Vidybida AK. (2007). Input-output relations in binding neuron. Bio Systems. 89 [PubMed]

Wallenstein GV, Hasselmo ME. (1997). GABAergic modulation of hippocampal population activity: sequence learning, place field development, and the phase precession effect. Journal of neurophysiology. 78 [PubMed]

Wang J, Si W, Che Y, Fei x. (2008). Spike trains in Hodgkin–Huxley model and of acupuncture manipulations Chaos, Solitons and Fractals. 36

• Spike trains in Hodgkin–Huxley model and ISIs of acupuncture manipulations (Wang et al. 2008) [Model]

Wang K, Riera J, Enjieu-Kadji H, Kawashima R. (2013). The role of extracellular conductivity profiles in compartmental models for neurons: particulars for layer 5 pyramidal cells. Neural computation. 25 [PubMed]

• Modeling conductivity profiles in the deep neocortical pyramidal neuron (Wang K et al. 2013) [Model]

Wang XJ, Buzsáki G. (1996). Gamma oscillation by synaptic inhibition in a hippocampal interneuronal network model. The Journal of neuroscience : the official journal of the Society for Neuroscience. 16 [PubMed]

• Gamma oscillations in hippocampal interneuron networks (Wang, Buzsaki 1996) [Model]

Wang XJ, Liu Y, Sanchez-Vives MV, McCormick DA. (2003). Adaptation and temporal decorrelation by single neurons in the primary visual cortex. Journal of neurophysiology. 89 [PubMed]

• Temporal decorrelation by intrinsic cellular dynamics (Wang et al 2003) [Model]

Wang XJ, Rinzel J, Rogawski MA. (1991). A model of the T-type calcium current and the low-threshold spike in thalamic neurons. Journal of neurophysiology. 66 [PubMed]

• T-type Ca current in thalamic neurons (Wang et al 1991) [Model]

Wang YC et al. (2022). Multimodal parameter spaces of a complex multi-channel neuron model Frontiers in systems neuroscience. 16 [PubMed]

• Parallel Tempering MCMC on Liu et al 1998 (Wang et al 2022) [Model]

Warashina A, Ogura T. (2004). Modeling of stimulation-secretion coupling in a chromaffin cell. Pflugers Archiv : European journal of physiology. 448 [PubMed]

Wathey JC, Lytton WW, Jester JM, Sejnowski TJ. (1992). Computer simulations of EPSP-spike (E-S) potentiation in hippocampal CA1 pyramidal cells. The Journal of neuroscience : the official journal of the Society for Neuroscience. 12 [PubMed]

Webster-Wood VA, Gill JP, Thomas PJ, Chiel HJ. (2020). Control for multifunctionality: bioinspired control based on feeding in Aplysia californica. Biological cybernetics. 114 [PubMed]

• Multifunctional control of feeding in Aplysia (Webster-Wood et al. 2020) [Model]

Wetmore DZ, Mukamel EA, Schnitzer MJ. (2008). Lock-and-key mechanisms of cerebellar memory recall based on rebound currents. Journal of neurophysiology. 100 [PubMed]

White JA, Ziv I, Cleary LJ, Baxter DA, Byrne JH. (1993). The role of interneurons in controlling the tail-withdrawal reflex in Aplysia: a network model. Journal of neurophysiology. 70 [PubMed]

• A network model of tail withdrawal in Aplysia (White et al 1993) [Model]

Williams JC et al. (2013). Computational optogenetics: empirically-derived voltage- and light-sensitive channelrhodopsin-2 model. PLoS computational biology. 9 [PubMed]

• Voltage and light-sensitive Channelrhodopsin-2 model (ChR2) (Williams et al. 2013) [Model]
• Voltage and light-sensitive Channelrhodopsin-2 model (ChR2-H134R) (Williams et al. 2013) (NEURON) [Model]

Willms AR. (2002). NEUROFIT: software for fitting Hodgkin-Huxley models to voltage-clamp data. Journal of neuroscience methods. 121 [PubMed]

• NEUROFIT: fitting HH models to voltage clamp data (Willms 2002) [Model]

Willms AR, Baro DJ, Harris-Warrick RM, Guckenheimer J. (1999). An improved parameter estimation method for Hodgkin-Huxley models. Journal of computational neuroscience. 6 [PubMed]

• NEUROFIT: fitting HH models to voltage clamp data (Willms 2002) [Model]

Wilson CG, Fietkiewicz C, Shafer GO, Platt EA. (2016). Variability in respiratory rhythm generation: In vitro and in silico models Communications in Nonlinear Science and Numerical Simulation. 32

• pre-Bötzinger complex variability (Fietkiewicz et al. 2016) [Model]

Winograd M, Destexhe A, Sanchez-Vives MV. (2008). Hyperpolarization-activated graded persistent activity in the prefrontal cortex. Proceedings of the National Academy of Sciences of the United States of America. 105 [PubMed]

• Hodgkin-Huxley model of persistent activity in prefrontal cortex neurons (Winograd et al. 2008) [Model]
• Hodgkin-Huxley model of persistent activity in PFC neurons (Winograd et al. 2008) (NEURON python) [Model]

Winslow JL. (1990). Analysis and numerical solution of the dendrite equation with synapses applied to cochlear neurons. Progress in neurobiology. 34 [PubMed]

Wissmann R et al. (2003). Solution structure and function of the "tandem inactivation domain" of the neuronal A-type potassium channel Kv1.4. The Journal of biological chemistry. 278 [PubMed]

Woo B, Shin D, Yang D, Choi J. (2005). Reduced model and simulation of neuron with passive dendritic cable: an eigenfunction expansion approach. Journal of computational neuroscience. 19 [PubMed]

Wu HY, Baer SM. (1998). Analysis of an excitable dendritic spine with an activity-dependent stem conductance. Journal of mathematical biology. 36 [PubMed]

Wu SN. (2004). Simulations of the cardiac action potential based on the Hodgkin-Huxley kinetics with the use of Microsoft Excel spreadsheets. The Chinese journal of physiology. 47 [PubMed]

• Cardiac action potential based on Luo-Rudy phase 1 model (Luo and Rudy 1991), (Wu 2004) [Model]

Wüstenberg DG et al. (2004). Current- and voltage-clamp recordings and computer simulations of Kenyon cells in the honeybee. Journal of neurophysiology. 92 [PubMed]

• Kenyon cells in the honeybee (Wustenberg et al 2004) [Model]

Yoshioka M. (2002). Spike-timing-dependent learning rule to encode spatiotemporal patterns in a network of spiking neurons. Physical review. E, Statistical, nonlinear, and soft matter physics. 65 [PubMed]

Young RG, Castelfranco AM, Hartline DK. (2013). The "Lillie transition": models of the onset of saltatory conduction in myelinating axons. Journal of computational neuroscience. 34 [PubMed]

• Lillie Transition: onset of saltatory conduction in myelinating axons (Young et al. 2013) [Model]

Yu Y, Shu Y, McCormick DA. (2008). Cortical action potential backpropagation explains spike threshold variability and rapid-onset kinetics. The Journal of neuroscience : the official journal of the Society for Neuroscience. 28 [PubMed]

• AP back-prop. explains threshold variability and rapid rise (McCormick et al. 2007, Yu et al. 2008) [Model]

Zachariou M, Alexander SP, Coombes S, Christodoulou C. (2013). A biophysical model of endocannabinoid-mediated short term depression in hippocampal inhibition. PloS one. 8 [PubMed]

Zacksenhouse M, Johnson DH, Williams J, Tsuchitani C. (1998). Single-neuron modeling of LSO unit responses. Journal of neurophysiology. 79 [PubMed]

Zou Q, Bornat Y, Tomas J, Renaud S, Destexhe A. (2006). Real-time simulations of networks of Hodgkin-Huxley neurons using analog circuits Neurocomputing. 69

van Drongelen W et al. (2006). Role of persistent sodium current in bursting activity of mouse neocortical networks in vitro. Journal of neurophysiology. 96 [PubMed]

van Drongelen W, Lee HC, Stevens RL, Hereld M. (2007). propagation of seizure-like activity in a model of neocortex. Journal of clinical neurophysiology : official publication of the American Electroencephalographic Society. 24 [PubMed]

Öz P, Huang M, Wolf F. (2015). Action potential initiation in a multi-compartmental model with cooperatively gating Na channels in the axon initial segment. Journal of computational neuroscience. 39 [PubMed]

• MCCAIS model (multicompartmental cooperative AIS) (Öz et al 2015) [Model]

Świetlik D, Białowąs J, Kusiak A, Cichońska D. (2018). Memory and forgetting processes with the firing neuron model. Folia morphologica. 77 [PubMed]