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

Banerjee A. (2006). On the sensitive dependence on initial conditions of the dynamics of networks of spiking neurons. Journal of computational neuroscience. 20 [PubMed]

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]

Börgers C, Kopell N. (2005). Effects of noisy drive on rhythms in networks of excitatory and inhibitory neurons. Neural computation. 17 [PubMed]

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

Carrillo RR, Ros E, Barbour B, Boucheny C, Coenen O. (2007). Event-driven simulation of neural population synchronization facilitated by electrical coupling. Bio Systems. 87 [PubMed]

Chizhov AV, Zefirov AV, Amakhin DV, Smirnova EY, Zaitsev AV. (2018). Minimal model of interictal and ictal discharges "Epileptor-2". PLoS computational biology. 14 [PubMed]

• Minimal model of interictal and ictal discharges “Epileptor-2” (Chizhov et al 2018) [Model]

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]

Dragly SA et al. (2017). Neuronify: An Educational Simulator for Neural Circuits. eNeuro. 4 [PubMed]

• Neuronify: An Educational Simulator for Neural Circuits (Dragly et al 2017) [Model]

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

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

Ferguson KA, Njap F, Nicola W, Skinner FK, Campbell SA. (2015). Examining the limits of cellular adaptation bursting mechanisms in biologically-based excitatory networks of the hippocampus. Journal of computational neuroscience. 39 [PubMed]

• Mean-field systems and small scale neural networks (Ferguson et al. 2015) [Model]
• CA1 pyramidal neuron network model (Ferguson et al 2015) [Model]

Golomb D, Shedmi A, Curtu R, Ermentrout GB. (2006). Persistent synchronized bursting activity in cortical tissues with low magnesium concentration: a modeling study. Journal of neurophysiology. 95 [PubMed]

• Persistent synchronized bursting activity in cortical tissues (Golomb et al 2005) [Model]

Gutkin B, Ermentrout GB, Rudolph M. (2003). Spike generating dynamics and the conditions for spike-time precision in cortical neurons. Journal of computational neuroscience. 15 [PubMed]

Hansel D, Mato G. (2003). Asynchronous states and the emergence of synchrony in large networks of interacting excitatory and inhibitory neurons. Neural computation. 15 [PubMed]

Humphries MD, Gurney K, Prescott TJ. (2007). Is there a brainstem substrate for action selection? Philosophical transactions of the Royal Society of London. Series B, Biological sciences. 362 [PubMed]

• Medial reticular formation of the brainstem: anatomy and dynamics (Humphries et al. 2006, 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]

Jalil S, Grigull J, Skinner FK. (2004). Novel bursting patterns emerging from model inhibitory networks with synaptic depression. Journal of computational neuroscience. 17 [PubMed]

Jercog D et al. (2017). UP-DOWN cortical dynamics reflect state transitions in a bistable network. eLife. 6 [PubMed]

• Models for cortical UP-DOWN states in a bistable inhibitory-stabilized network (Jercog et al 2017) [Model]

Jolivet R, Gerstner W. (2004). Predicting spike times of a detailed conductance-based neuron model driven by stochastic spike arrival. Journal of physiology, Paris. 98 [PubMed]

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]

Jolivet R, Rauch A, Lüscher HR, Gerstner W. (2006). Predicting spike timing of neocortical pyramidal neurons by simple threshold models. Journal of computational neuroscience. 21 [PubMed]

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

Krichmar JL, Nasuto SJ, Scorcioni R, Washington SD, Ascoli GA. (2002). Effects of dendritic morphology on CA3 pyramidal cell electrophysiology: a simulation study. Brain research. 941 [PubMed]

Kumar A, Schrader S, Aertsen A, Rotter S. (2008). The high-conductance state of cortical networks. Neural computation. 20 [PubMed]

Laing CR, Longtin A. (2003). Dynamics of deterministic and stochastic paired excitatory-inhibitory delayed feedback. Neural computation. 15 [PubMed]

Latham PE, Nirenberg S. (2004). Computing and stability in cortical networks. Neural computation. 16 [PubMed]

Loebel A, Tsodyks M. (2002). Computation by ensemble synchronization in recurrent networks with synaptic depression. Journal of computational neuroscience. 13 [PubMed]

Ma J, Wu J. (2007). Multistability in spiking neuron models of delayed recurrent inhibitory loops. Neural computation. 19 [PubMed]

Marpeau F, Barua A, Josić K. (2009). A finite volume method for stochastic integrate-and-fire models. Journal of computational neuroscience. 26 [PubMed]

• A finite volume method for stochastic integrate-and-fire models (Marpeau et al. 2009) [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]

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]

Muller E, Buesing L, Schemmel J, Meier K. (2007). Spike-frequency adapting neural ensembles: beyond mean adaptation and renewal theories. Neural computation. 19 [PubMed]

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

Pfeuty B, Mato G, Golomb D, Hansel D. (2005). The combined effects of inhibitory and electrical synapses in synchrony. Neural computation. 17 [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]

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]

Tabak J, Mascagni M, Bertram R. (2010). Mechanism for the universal pattern of activity in developing neuronal networks. Journal of neurophysiology. 103 [PubMed]

• Universal feature of developing networks (Tabak et al 2010) [Model]
• Universal feature of developing networks (Tabak et al 2010) (CellML) [Model]

Tabak J, O'Donovan MJ, Rinzel J. (2006). Differential control of active and silent phases in relaxation models of neuronal rhythms. Journal of computational neuroscience. 21 [PubMed]

Thomas EA, Bornstein JC. (2003). Inhibitory cotransmission or after-hyperpolarizing potentials can regulate firing in recurrent networks with excitatory metabotropic transmission. Neuroscience. 120 [PubMed]

Tonnelier A, Belmabrouk H, Martinez D. (2007). Event-driven simulations of nonlinear integrate-and-fire neurons. Neural computation. 19 [PubMed]

Troyer TW. (2006). Factors affecting phase synchronization in integrate-and-fire oscillators. Journal of computational neuroscience. 20 [PubMed]

Vich C, Berg RW, Guillamon A, Ditlevsen S. (2017). Estimation of Synaptic Conductances in Presence of Nonlinear Effects Caused by Subthreshold Ionic Currents. Frontiers in computational neuroscience. 11 [PubMed]

• QIF method to estimate synaptic conductances (Vich et al 2017) [Model]

Voigt T, Herzog A, Michaelis B, Kube K, De_lima AD. (2007). Displaced strategies optimize connectivity in neocortical networks Neurocomputing. 70

Yvon C, Czarnecki A, Streit J. (2007). Riluzole-induced oscillations in spinal networks. Journal of neurophysiology. 97 [PubMed]

Zerlaut Y, Chemla S, Chavane F, Destexhe A. (2018). Modeling mesoscopic cortical dynamics using a mean-field model of conductance-based networks of adaptive exponential integrate-and-fire neurons. Journal of computational neuroscience. 44 [PubMed]

• Mesoscopic dynamics from AdEx recurrent networks (Zerlaut et al JCNS 2018) [Model]
• Mesoscopic dynamics from AdEx recurrent networks (Zerlaut et al JCNS 2018) (PyNN) [Model]