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]
Aviel Y, Horn D, Abeles M. (2005). Memory capacity of balanced networks. Neural computation. 17 [PubMed]
Berends M, Maex R, De Schutter E. (2005). The effect of NMDA receptors on gain modulation. Neural computation. 17 [PubMed]
Brette R, Gerstner W. (2005). Adaptive exponential integrate-and-fire model as an effective description of neuronal activity. Journal of neurophysiology. 94 [PubMed]
Brunel N, Hansel D. (2006). How noise affects the synchronization properties of recurrent networks of inhibitory neurons. Neural computation. 18 [PubMed]
Brunel N, Wang XJ. (2001). Effects of neuromodulation in a cortical network model of object working memory dominated by recurrent inhibition. Journal of computational neuroscience. 11 [PubMed]
Bugmann G, Christodoulou C, Clarkson T. (). A Spiking Neuron Model: Applications and Learning. Neural Networks. 15
Cavallari S, Panzeri S, Mazzoni A. (2014). Comparison of the dynamics of neural interactions between current-based and conductance-based integrate-and-fire recurrent networks. Frontiers in neural circuits. 8 [PubMed]
Cox SJ. (2004). Estimating the location and time course of synaptic input from multi-site potential recordings. Journal of computational neuroscience. 17 [PubMed]
Delord B, Baraduc P, Costalat R, Burnod Y, Guigon E. (2000). A model study of cellular short-term memory produced by slowly inactivating potassium conductances. Journal of computational neuroscience. 8 [PubMed]
Dicke U, Dau T. (2005). A functional point-neuron model simulating cochlear nucleus ideal onset responses. Journal of computational neuroscience. 19 [PubMed]
Diesmann M, Gewaltig MO, Aertsen A. (1999). Stable propagation of synchronous spiking in cortical neural networks. Nature. 402 [PubMed]
Doiron B, Oswald AM, Maler L. (2007). Interval coding. II. Dendrite-dependent mechanisms. Journal of neurophysiology. 97 [PubMed]
Gabbiani F, Cox SJ. (2010). Mathematics for Neuroscientists.
Goldwyn JH, Shea-Brown E. (2011). The what and where of adding channel noise to the Hodgkin-Huxley equations. PLoS computational biology. 7 [PubMed]
Guerrero-Rivera R, Morrison A, Diesmann M, Pearce TC. (2006). Programmable logic construction kits for hyper-real-time neuronal modeling. Neural computation. 18 [PubMed]
Hansel D, van Vreeswijk C. (2002). How noise contributes to contrast invariance of orientation tuning in cat visual cortex. The Journal of neuroscience : the official journal of the Society for Neuroscience. 22 [PubMed]
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 et al. (2008). A benchmark test for a quantitative assessment of simple neuron models. Journal of neuroscience methods. 169 [PubMed]
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]
Kumar A, Schrader S, Aertsen A, Rotter S. (2008). The high-conductance state of cortical networks. Neural computation. 20 [PubMed]
Köndgen H et al. (2008). The dynamical response properties of neocortical neurons to temporally modulated noisy inputs in vitro. Cerebral cortex (New York, N.Y. : 1991). 18 [PubMed]
La Camera G, Rauch A, Lüscher HR, Senn W, Fusi S. (2004). Minimal models of adapted neuronal response to in vivo-like input currents. Neural computation. 16 [PubMed]
Lansky P, Sanda P, He J. (2006). The parameters of the stochastic leaky integrate-and-fire neuronal model. Journal of computational neuroscience. 21 [PubMed]
Lindner B, Longtin A. (2006). Comment on "Characterization of subthreshold voltage fluctuations in neuronal membranes," by M. Rudolph and A. Destexhe. Neural computation. 18 [PubMed]
Loebel A, Tsodyks M. (2002). Computation by ensemble synchronization in recurrent networks with synaptic depression. Journal of computational neuroscience. 13 [PubMed]
Ly C, Tranchina D. (2007). Critical analysis of dimension reduction by a moment closure method in a population density approach to neural network modeling. Neural computation. 19 [PubMed]
Lánský P, Greenwood PE. (2005). Optimal signal estimation in neuronal models. Neural computation. 17 [PubMed]
Lánský P, Rodriguez R, Sacerdote L. (2004). Mean instantaneous firing frequency is always higher than the firing rate. Neural computation. 16 [PubMed]
Marpeau F, Barua A, Josić K. (2009). A finite volume method for stochastic integrate-and-fire models. Journal of computational neuroscience. 26 [PubMed]
Masquelier T. (2018). STDP Allows Close-to-Optimal Spatiotemporal Spike Pattern Detection by Single Coincidence Detector Neurons. Neuroscience. 389 [PubMed]
Meffin H, Burkitt AN, Grayden DB. (2004). An analytical model for the "large, fluctuating synaptic conductance state" typical of neocortical neurons in vivo. Journal of computational neuroscience. 16 [PubMed]
Michalikova M, Remme MW, Kempter R. (2017). Spikelets in Pyramidal Neurons: Action Potentials Initiated in the Axon Initial Segment That Do Not Activate the Soma. PLoS computational biology. 13 [PubMed]
Migliore M, Lansky P. (1999). Long-term potentiation and depression induced by a stochastic conditioning of a model synapse. Biophysical journal. 77 [PubMed]
Miller P, Wang XJ. (2006). Stability of discrete memory states to stochastic fluctuations in neuronal systems. Chaos (Woodbury, N.Y.). 16 [PubMed]
Morrison A, Straube S, Plesser HE, Diesmann M. (2007). Exact subthreshold integration with continuous spike times in discrete-time neural network simulations. Neural computation. 19 [PubMed]
Munro E, Kopell N. (2012). Subthreshold somatic voltage in neocortical pyramidal cells can control whether spikes propagate from the axonal plexus to axon terminals: a model study. Journal of neurophysiology. 107 [PubMed]
Olypher AV, Lánský P, Fenton AA. (2002). Properties of the extra-positional signal in hippocampal place cell discharge derived from the overdispersion in location-specific firing. Neuroscience. 111 [PubMed]
Pilly PK, Grossberg S. (2013). Spiking neurons in a hierarchical self-organizing map model can learn to develop spatial and temporal properties of entorhinal grid cells and hippocampal place cells PloS one. 8 [PubMed]
Ramirez-Mahaluf JP, Roxin A, Mayberg HS, Compte A. (2017). A Computational Model of Major Depression: the Role of Glutamate Dysfunction on Cingulo-Frontal Network Dynamics. Cerebral cortex (New York, N.Y. : 1991). 27 [PubMed]
Renart A, Song P, Wang XJ. (2003). Robust spatial working memory through homeostatic synaptic scaling in heterogeneous cortical networks. Neuron. 38 [PubMed]
Romani S, Amit DJ, Mongillo G. (2006). Mean-field analysis of selective persistent activity in presence of short-term synaptic depression. Journal of computational neuroscience. 20 [PubMed]
Rudolph M, Destexhe A. (2003). Characterization of subthreshold voltage fluctuations in neuronal membranes. Neural computation. 15 [PubMed]
Rudolph M, Destexhe A. (2004). Inferring network activity from synaptic noise. Journal of physiology, Paris. 98 [PubMed]
Song P, Wang XJ. (2005). Angular path integration by moving "hill of activity": a spiking neuron model without recurrent excitation of the head-direction system. The Journal of neuroscience : the official journal of the Society for Neuroscience. 25 [PubMed]
Stemme A, Deco G, Busch A. (2007). The neuronal dynamics underlying cognitive flexibility in set shifting tasks. Journal of computational neuroscience. 23 [PubMed]
Stewart RD, Bair W. (2009). Spiking neural network simulation: numerical integration with the Parker-Sochacki method. Journal of computational neuroscience. 27 [PubMed]
Teka W, Marinov TM, Santamaria F. (2014). Neuronal spike timing adaptation described with a fractional leaky integrate-and-fire model. PLoS computational biology. 10 [PubMed]
Tsodyks M, Uziel A, Markram H. (2000). Synchrony generation in recurrent networks with frequency-dependent synapses. The Journal of neuroscience : the official journal of the Society for Neuroscience. 20 [PubMed]
Urakubo H, Aihara T, Kuroda S, Watanabe M, Kondo S. (2004). Spatial localization of synapses required for supralinear summation of action potentials and EPSPs. Journal of computational neuroscience. 16 [PubMed]
Van Rossum MC. (2001). The transient precision of integrate and fire neurons: effect of background activity and noise. Journal of computational neuroscience. 10 [PubMed]
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]
Weigenand A, Schellenberger Costa M, Ngo HV, Claussen JC, Martinetz T. (2014). Characterization of K-complexes and slow wave activity in a neural mass model. PLoS computational biology. 10 [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]
Zhang X, Carney LH. (2005). Response properties of an integrate-and-fire model that receives subthreshold inputs. Neural computation. 17 [PubMed]