Squid axon (Hodgkin, Huxley 1952) (SBML, XPP, other)

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

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

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

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• Studies of stimulus parameters for seizure disruption using NN simulations (Anderson et al. 2007) [Model]
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• Phenomenological models of NaV1.5: Hodgkin-Huxley and kinetic formalisms (Andreozzi et al 2019) [Model]

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

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

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

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

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

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

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

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

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• 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]

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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]

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

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

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• 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]

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

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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]

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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]

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• 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]

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• 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]

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

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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]

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• 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]

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

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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]

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