Ahn S, Rubchinsky LL. (2017). Potential Mechanisms and Functions of Intermittent Neural Synchronization. Frontiers in computational neuroscience. 11 [PubMed]

Akin M, Onderdonk A, Guo Y. (2017). Effects of local network topology on the functional reconstruction of spiking neural network models. Applied network science. 2 [PubMed]

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]

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]

Balachandar A, Prescott SA. (2018). Origin of heterogeneous spiking patterns from continuously distributed ion channel densities: a computational study in spinal dorsal horn neurons. The Journal of physiology. 596 [PubMed]

• Origin of heterogeneous spiking patterns in spinal dorsal horn neurons (Balachandar & Prescott 2018) [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]

Beverlin B, Kakalios J, Nykamp D, Netoff TI. (2012). Dynamical changes in neurons during seizures determine tonic to clonic shift. Journal of computational neuroscience. 33 [PubMed]

• Epileptic seizure model with Morris-Lecar neurons (Beverlin and Netoff 2011) [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]

Coggan JS, Ocker GK, Sejnowski TJ, Prescott SA. (2011). Explaining pathological changes in axonal excitability through dynamical analysis of conductance-based models. Journal of neural engineering. 8 [PubMed]

• Explaining pathological changes in axonal excitability by dynamical analysis (Coggan et al. 2011) [Model]

Csercsik D, Farkas I, Hrabovszky E, Liposits Z. (2012). A simple integrative electrophysiological model of bursting GnRH neurons. Journal of computational neuroscience. 32 [PubMed]

• A simple integrative electrophysiological model of bursting GnRH neurons (Csercsik et al. 2011) [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]

Diekman CO, Thomas PJ, Wilson CG. (2017). Eupnea, tachypnea, and autoresuscitation in a closed-loop respiratory control model. Journal of neurophysiology. 118 [PubMed]

• Respiratory control model with brainstem CPG and sensory feedback (Diekman, Thomas, and Wilson 2017) [Model]

Doiron B, Oswald AM, Maler L. (2007). Interval coding. II. Dendrite-dependent mechanisms. Journal of neurophysiology. 97 [PubMed]

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

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

Fernandez FR, Engbers JD, Turner RW. (2007). Firing dynamics of cerebellar purkinje cells. Journal of neurophysiology. 98 [PubMed]

Fountas Z, Shanahan M. (2017). The role of cortical oscillations in a spiking neural network model of the basal ganglia. PloS one. 12 [PubMed]

• Cortical oscillations and the basal ganglia (Fountas & Shanahan 2017) [Model]

Franci A, Drion G, Sepulchre R. (2018). Robust and tunable bursting requires slow positive feedback. Journal of neurophysiology. 119 [PubMed]

• Robust and tunable bursting requires slow positive feedback (Franci et al 2018) [Model]

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

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

Goldwyn JH, Rubinstein JT, Shea-Brown E. (2012). A point process framework for modeling electrical stimulation of the auditory nerve. Journal of neurophysiology. 108 [PubMed]

• Point process framework for modeling electrical stimulation of auditory nerve (Goldwyn et al. 2012) [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]

Golomb D et al. (2007). Mechanisms of firing patterns in fast-spiking cortical interneurons. PLoS computational biology. 3 [PubMed]

• Fast-spiking cortical interneuron (Golomb et al. 2007) [Model]

Golomb D, Yue C, Yaari Y. (2006). Contribution of persistent Na+ current and M-type K+ current to somatic bursting in CA1 pyramidal cells: combined experimental and modeling study. Journal of neurophysiology. 96 [PubMed]

• CA1 pyramidal cell: I_NaP and I_M contributions to somatic bursting (Golomb et al 2006) [Model]

Grimbert F, Faugeras O. (2006). Bifurcation analysis of Jansen's neural mass model. Neural computation. 18 [PubMed]

Gurney KN, Humphries MD, Redgrave P. (2015). A new framework for cortico-striatal plasticity: behavioural theory meets in vitro data at the reinforcement-action interface. PLoS biology. 13 [PubMed]

• Cortico-striatal plasticity in medium spiny neurons (Gurney et al 2015) [Model]

Harish O, Golomb D. (2010). Control of the firing patterns of vibrissa motoneurons by modulatory and phasic synaptic inputs: a modeling study. Journal of neurophysiology. 103 [PubMed]

• Control of vibrissa motoneuron firing (Harish and Golomb 2010) [Model]

Hayut I, Fanselow EE, Connors BW, Golomb D. (2011). LTS and FS inhibitory interneurons, short-term synaptic plasticity, and cortical circuit dynamics. PLoS computational biology. 7 [PubMed]

• Rate model of a cortical RS-FS-LTS network (Hayut et al. 2011) [Model]

Hong S, Agüera y Arcas B, Fairhall AL. (2007). Single neuron computation: from dynamical system to feature detector. Neural computation. 19 [PubMed]

Hummos A, Franklin CC, Nair SS. (2014). Intrinsic mechanisms stabilize encoding and retrieval circuits differentially in a hippocampal network model. Hippocampus. 24 [PubMed]

• Role for short term plasticity and OLM cells in containing spread of excitation (Hummos et al 2014) [Model]

Humphries MD, Gurney K. (2007). Solution methods for a new class of simple model neurons. Neural computation. 19 [PubMed]

Humphries MD, Lepora N, Wood R, Gurney K. (2009). Capturing dopaminergic modulation and bimodal membrane behaviour of striatal medium spiny neurons in accurate, reduced models. Frontiers in computational neuroscience. 3 [PubMed]

• Dopamine-modulated medium spiny neuron, reduced model (Humphries et al. 2009) [Model]

Humphries MD, Wood R, Gurney K. (2009). Dopamine-modulated dynamic cell assemblies generated by the GABAergic striatal microcircuit. Neural networks : the official journal of the International Neural Network Society. 22 [PubMed]

• Striatal GABAergic microcircuit, dopamine-modulated cell assemblies (Humphries et al. 2009) [Model]

Humphries MD, Wood R, Gurney K. (2010). Reconstructing the three-dimensional GABAergic microcircuit of the striatum. PLoS computational biology. 6 [PubMed]

• Striatal GABAergic microcircuit, spatial scales of dynamics (Humphries et al, 2010) [Model]

Izhikevich EM. (2003). Simple model of spiking neurons. IEEE transactions on neural networks. 14 [PubMed]

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

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]

Izhikevich EM. (2006). Polychronization: computation with spikes. Neural computation. 18 [PubMed]

• Polychronization: Computation With Spikes (Izhikevich 2005) [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]

Kilinc D, Demir A. (2018). Spike timing precision of neuronal circuits. Journal of computational neuroscience. 44 [PubMed]

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

Krishnan GP, Filatov G, Shilnikov A, Bazhenov M. (2015). Electrogenic properties of the Na?/K? ATPase control transitions between normal and pathological brain states. Journal of neurophysiology. 113 [PubMed]

• Single cell model with variable ion concentrations and Na+/K+ ATPase (Krishnan et al. 2015) [Model]

Kömek K, Bard Ermentrout G, Walker CP, Cho RY. (2012). Dopamine and gamma band synchrony in schizophrenia--insights from computational and empirical studies. The European journal of neuroscience. 36 [PubMed]

• Modeling the effects of dopamine on network synchronization (Komek et al. 2012) [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]

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

Manis PB, Campagnola L. (2018). A biophysical modelling platform of the cochlear nucleus and other auditory circuits: From channels to networks. Hearing research. 360 [PubMed]

• Modelling platform of the cochlear nucleus and other auditory circuits (Manis & Compagnola 2018) [Model]

Mensi S et al. (2012). Parameter extraction and classification of three cortical neuron types reveals two distinct adaptation mechanisms. Journal of neurophysiology. 107 [PubMed]

• Extraction and classification of three cortical neuron types (Mensi et al. 2012) [Model]

Nowotny T, Szücs A, Levi R, Selverston AI. (2007). Models wagging the dog: are circuits constructed with disparate parameters? Neural computation. 19 [PubMed]

Oh M, Matveev V. (2009). Loss of phase-locking in non-weakly coupled inhibitory networks of type-I model neurons. Journal of computational neuroscience. 26 [PubMed]

• Loss of phase-locking in non-weakly coupled inhib. networks of type-I neurons (Oh and Matveev 2009) [Model]

Olypher AV, Calabrese RL. (2007). Using constraints on neuronal activity to reveal compensatory changes in neuronal parameters. Journal of neurophysiology. 98 [PubMed]

• Activity constraints on stable neuronal or network parameters (Olypher and Calabrese 2007) [Model]

Pena RFO, Zaks MA, Roque AC. (2018). Dynamics of spontaneous activity in random networks with multiple neuron subtypes and synaptic noise : Spontaneous activity in networks with synaptic noise. Journal of computational neuroscience. 45 [PubMed]

• Dynamics in random NNs with multiple neuron subtypes (Pena et al 2018, Tomov et al 2014, 2016) [Model]

Platkiewicz J, Brette R. (2011). Impact of fast sodium channel inactivation on spike threshold dynamics and synaptic integration. PLoS computational biology. 7 [PubMed]

• Impact of fast Na channel inact. on AP threshold & synaptic integration (Platkiewicz & Brette 2011) [Model]

Polese D, Martinelli E, Marco S, Di Natale C, Gutierrez-Galvez A. (2014). Understanding odor information segregation in the olfactory bulb by means of mitral and tufted cells. PloS one. 9 [PubMed]

• Understanding odor information segregation in the olfactory bulb by MC/TCs (Polese et al. 2014) [Model]

Portfors CV, Roberts PD. (2007). Temporal and frequency characteristics of cartwheel cells in the dorsal cochlear nucleus of the awake mouse. Journal of neurophysiology. 98 [PubMed]

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]

Prescott SA, Ratté S, De Koninck Y, Sejnowski TJ. (2008). Pyramidal neurons switch from integrators in vitro to resonators under in vivo-like conditions. Journal of neurophysiology. 100 [PubMed]

• Pyramidal neurons switch from integrators to resonators (Prescott et al. 2008) [Model]

Quax S, Jensen O, Tiesinga P. (2017). Top-down control of cortical gamma-band communication via pulvinar induced phase shifts in the alpha rhythm. PLoS computational biology. 13 [PubMed]

Rho YA, Prescott SA. (2012). Identification of molecular pathologies sufficient to cause neuropathic excitability in primary somatosensory afferents using dynamical systems theory. PLoS computational biology. 8 [PubMed]

• Dorsal root ganglion (primary somatosensory) neurons (Rho & Prescott 2012) [Model]

Rotstein HG, Oppermann T, White JA, Kopell N. (2006). The dynamic structure underlying subthreshold oscillatory activity and the onset of spikes in a model of medial entorhinal cortex stellate cells. Journal of computational neuroscience. 21 [PubMed]

Rubin JE, Smith JC. (2019). Robustness of respiratory rhythm generation across dynamic regimes. PLoS computational biology. 15 [PubMed]

• Respiratory central pattern generator (mammalian brainstem) (Rubin & Smith 2019) [Model]

Rössert C, Moore LE, Straka H, Glasauer S. (2011). Cellular and network contributions to vestibular signal processing: impact of ion conductances, synaptic inhibition, and noise. The Journal of neuroscience : the official journal of the Society for Neuroscience. 31 [PubMed]

• Frog second-order vestibular neuron models (Rossert et al. 2011) [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]

Shanahan M. (2008). A spiking neuron model of cortical broadcast and competition. Consciousness and cognition. 17 [PubMed]

• A spiking model of cortical broadcast and competition (Shanahan 2008) [Model]

Shao J, Lai D, Meyer U, Luksch H, Wessel R. (2009). Generating oscillatory bursts from a network of regular spiking neurons without inhibition. Journal of computational neuroscience. 27 [PubMed]

• Generating oscillatory bursts from a network of regular spiking neurons (Shao et al. 2009) [Model]

Somjen GG, Kager H, Wadman WJ. (2008). Computer simulations of neuron-glia interactions mediated by ion flux. Journal of computational neuroscience. 25 [PubMed]

• Computer simulations of neuron-glia interactions mediated by ion flux (Somjen et al. 2008) [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]

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]

Talathi SS, Abarbanel HD, Ditto WL. (2008). Temporal spike pattern learning. Physical review. E, Statistical, nonlinear, and soft matter physics. 78 [PubMed]

Tikidji-Hamburyan RA, Canavier CC. (2020). Shunting Inhibition Improves Synchronization in Heterogeneous Inhibitory Interneuronal Networks with Type 1 Excitability Whereas Hyperpolarizing Inhibition is Better for Type 2 Excitability. eNeuro. 7 [PubMed]

• Cycle skipping in ING Type 1 / Type 2 networks (Tikidji-Hamburyan & Canavier 2020) [Model]

Tikidji-Hamburyan RA, Martínez JJ, White JA, Canavier CC. (2015). Resonant Interneurons Can Increase Robustness of Gamma Oscillations. The Journal of neuroscience : the official journal of the Society for Neuroscience. 35 [PubMed]

• PIR gamma oscillations in network of resonators (Tikidji-Hamburyan et al. 2015) [Model]

Tomov P, Pena RF, Roque AC, Zaks MA. (2016). Mechanisms of Self-Sustained Oscillatory States in Hierarchical Modular Networks with Mixtures of Electrophysiological Cell Types. Frontiers in computational neuroscience. 10 [PubMed]

• Dynamics in random NNs with multiple neuron subtypes (Pena et al 2018, Tomov et al 2014, 2016) [Model]

Torben-Nielsen B, Segev I, Yarom Y. (2012). The generation of phase differences and frequency changes in a network model of inferior olive subthreshold oscillations. PLoS computational biology. 8 [PubMed]

• Inferior Olive, subthreshold oscillations (Torben-Nielsen, Segev, Yarom 2012) [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]

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]

Viertel R, Borisyuk A. (2019). A Computational model of the mammalian external tufted cell. Journal of theoretical biology. 462 [PubMed]

• External Tufted Cell Model (Ryan Viertel, Alla Borisyuk 2019) [Model]

Visser S, van Gils SA. (2014). Lumping Izhikevich neurons EPJ Nonlinear Biomedical Physics. 25(12)

• Norns - Neural Network Studio (Visser & Van Gils 2014) [Model]

Vo T, Tabak J, Bertram R, Wechselberger M. (2014). A geometric understanding of how fast activating potassium channels promote bursting in pituitary cells. Journal of computational neuroscience. 36 [PubMed]

• Understanding how fast activating K+ channels promote bursting in pituitary cells (Vo et al 2014) [Model]

Wei Y, Ullah G, Ingram J, Schiff SJ. (2014). Oxygen and seizure dynamics: II. Computational modeling. Journal of neurophysiology. 112 [PubMed]

Wittman S, Abdala AP, Rubin JE. (2019). Reduced computational modelling of Kölliker-Fuse contributions to breathing patterns in Rett syndrome. The Journal of physiology. 597 [PubMed]

• Respiratory central pattern generator including Kolliker-Fuse nucleus (Wittman et al 2019) [Model]

Wu Z, Guo A, Fu X. (2017). Generation of low-gamma oscillations in a GABAergic network model of the striatum. Neural networks : the official journal of the International Neural Network Society. 95 [PubMed]

Zandt BJ, Visser S, van Putten MJ, Ten Haken B. (2014). A neural mass model based on single cell dynamics to model pathophysiology. Journal of computational neuroscience. 37 [PubMed]

• Neural mass model based on single cell dynamics to model pathophysiology (Zandt et al 2014) [Model]

Zeldenrust F, Chameau PJ, Wadman WJ. (2013). Reliability of spike and burst firing in thalamocortical relay cells. Journal of computational neuroscience. 35 [PubMed]

• Reliability of Morris-Lecar neurons with added T, h, and AHP currents (Zeldenrust et al. 2013) [Model]

Zilli EA. (2010). Coupled Noisy Spiking Neurons as Velocity-Controlled Oscillators in a Model of Grid Cell Spatial Firing J. Neurosci.. 30(41)

• Grid cell oscillatory interference with noisy network oscillators (Zilli and Hasselmo 2010) [Model]

Zilli EA. (2012). Models of grid cell spatial firing published 2005-2011. Frontiers in neural circuits. 6 [PubMed]

• Grid cell spatial firing models (Zilli 2012) [Model]

Zou X, Coyle D, Wong-Lin K, Maguire L. (2012). Beta-amyloid induced changes in A-type K? current can alter hippocampo-septal network dynamics. Journal of computational neuroscience. 32 [PubMed]

Zylbertal A, Yarom Y, Wagner S. (2017). Synchronous Infra-Slow Bursting in the Mouse Accessory Olfactory Bulb Emerge from Interplay between Intrinsic Neuronal Dynamics and Network Connectivity. The Journal of neuroscience : the official journal of the Society for Neuroscience. 37 [PubMed]

• A network of AOB mitral cells that produces infra-slow bursting (Zylbertal et al. 2017) [Model]