Shadlen MN, Newsome WT. (1998). The variable discharge of cortical neurons: implications for connectivity, computation, and information coding. The Journal of neuroscience : the official journal of the Society for Neuroscience. 18 [PubMed]

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References and models cited by this paper
References and models that cite this paper

Abeles M, Hayon G, Lehmann D. (2004). Modeling compositionality by dynamic binding of synfire chains. Journal of computational neuroscience. 17 [PubMed]

Ariav G, Polsky A, Schiller J. (2003). Submillisecond precision of the input-output transformation function mediated by fast sodium dendritic spikes in basal dendrites of CA1 pyramidal neurons. The Journal of neuroscience : the official journal of the Society for Neuroscience. 23 [PubMed]

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]

Azouz R, Gray CM. (2008). Stimulus-selective spiking is driven by the relative timing of synchronous excitation and disinhibition in cat striate neurons in vivo. The European journal of neuroscience. 28 [PubMed]

Beardsley SA, Vaina LM. (2001). A laterally interconnected neural architecture in MST accounts for psychophysical discrimination of complex motion patterns. Journal of computational neuroscience. 10 [PubMed]

Benucci A, Verschure PF, König P. (2004). Two-state membrane potential fluctuations driven by weak pairwise correlations. Neural computation. 16 [PubMed]

Bezzi M, Diamond ME, Treves A. (2002). Redundancy and synergy arising from pairwise correlations in neuronal ensembles. Journal of computational neuroscience. 12 [PubMed]

Bittner SR et al. (2017). Population activity structure of excitatory and inhibitory neurons. PloS one. 12 [PubMed]

Bogacz R, Brown MW, Giraud-Carrier C. (2001). Model of familiarity discrimination in the perirhinal cortex. Journal of computational neuroscience. 10 [PubMed]

Branco T, Häusser M. (2011). Synaptic integration gradients in single cortical pyramidal cell dendrites. Neuron. 69 [PubMed]

Brecht M, Roth A, Sakmann B. (2003). Dynamic receptive fields of reconstructed pyramidal cells in layers 3 and 2 of rat somatosensory barrel cortex. The Journal of physiology. 553 [PubMed]

Brecht M, Sakmann B. (2002). Dynamic representation of whisker deflection by synaptic potentials in spiny stellate and pyramidal cells in the barrels and septa of layer 4 rat somatosensory cortex. The Journal of physiology. 543 [PubMed]

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

Cai D, Rangan AV, McLaughlin DW. (2005). Architectural and synaptic mechanisms underlying coherent spontaneous activity in V1. Proceedings of the National Academy of Sciences of the United States of America. 102 [PubMed]

Chance FS. (2007). Receiver operating characteristic (ROC) analysis for characterizing synaptic efficacy. Journal of neurophysiology. 97 [PubMed]

Colbert CM, Pan E. (2002). Ion channel properties underlying axonal action potential initiation in pyramidal neurons. Nature neuroscience. 5 [PubMed]

Câteau H, Reyes AD. (2006). Relation between single neuron and population spiking statistics and effects on network activity. Physical review letters. 96 [PubMed]

Destexhe A, Rudolph M. (2002). Point-conductance models of cortical neurons with high discharge variability Neurocomputing. 44-46

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

Destexhe A, Rudolph M, Paré D. (2003). The high-conductance state of neocortical neurons in vivo. Nature reviews. Neuroscience. 4 [PubMed]

Diesmann M, Gewaltig MO, Aertsen A. (1999). Stable propagation of synchronous spiking in cortical neural networks. Nature. 402 [PubMed]

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]

Durstewitz D, Gabriel T. (2007). Dynamical basis of irregular spiking in NMDA-driven prefrontal cortex neurons. Cerebral cortex (New York, N.Y. : 1991). 17 [PubMed]

Edgerton JR, Hanson JE, Günay C, Jaeger D. (2010). Dendritic sodium channels regulate network integration in globus pallidus neurons: a modeling study. The Journal of neuroscience : the official journal of the Society for Neuroscience. 30 [PubMed]

Ernst U, Rotermund D, Pawelzik K. (2007). Efficient computation based on stochastic spikes. Neural computation. 19 [PubMed]

Fellous JM, Rudolph M, Destexhe A, Sejnowski TJ. (2003). Synaptic background noise controls the input/output characteristics of single cells in an in vitro model of in vivo activity. Neuroscience. 122 [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

Feng J, Li G. (2002). Impact of geometrical structures on the output of neuronal models: a theoretical and numerical analysis. Neural computation. 14 [PubMed]

Feng J, Zhang P. (2001). Behavior of integrate-and-fire and Hodgkin-Huxley models with correlated inputs. Physical review. E, Statistical, nonlinear, and soft matter physics. 63 [PubMed]

Ferrante M, Ascoli GA. (2015). Distinct and synergistic feedforward inhibition of pyramidal cells by basket and bistratified interneurons. Frontiers in cellular neuroscience. 9 [PubMed]

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

Gilson M, Masquelier T, Hugues E. (2011). STDP allows fast rate-modulated coding with Poisson-like spike trains. PLoS computational biology. 7 [PubMed]

Gorin M et al. (2016). Interdependent Conductances Drive Infraslow Intrinsic Rhythmogenesis in a Subset of Accessory Olfactory Bulb Projection Neurons. The Journal of neuroscience : the official journal of the Society for Neuroscience. 36 [PubMed]

Grienberger C, Milstein AD, Bittner KC, Romani S, Magee JC. (2017). Inhibitory suppression of heterogeneously tuned excitation enhances spatial coding in CA1 place cells. Nature neuroscience. 20 [PubMed]

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]

Guyonneau R, VanRullen R, Thorpe SJ. (2005). Neurons tune to the earliest spikes through STDP. Neural computation. 17 [PubMed]

Hong S, Ratté S, Prescott SA, De Schutter E. (2012). Single neuron firing properties impact correlation-based population coding. The Journal of neuroscience : the official journal of the Society for Neuroscience. 32 [PubMed]

Hoshino O, Zheng M, Watanabe K. (2018). Perceptual judgments via sensory-motor interaction assisted by cortical GABA. Journal of computational neuroscience. 44 [PubMed]

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

Jackson BS. (2004). Including long-range dependence in integrate-and-fire models of the high interspike-interval variability of cortical neurons. Neural computation. 16 [PubMed]

Jeong J, Kwak Y, Kim YI, Lee KJ. (2005). Dynamical heterogeneity of suprachiasmatic nucleus neurons based on regularity and determinism. Journal of computational neuroscience. 19 [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, Rauch A, Lüscher HR, Gerstner W. (2006). Predicting spike timing of neocortical pyramidal neurons by simple threshold models. Journal of computational neuroscience. 21 [PubMed]

Kass RE, Ventura V. (2006). Spike count correlation increases with length of time interval in the presence of trial-to-trial variation. Neural computation. 18 [PubMed]

Kenyon GT, Theiler J, George JS, Travis BJ, Marshak DW. (2004). Correlated firing improves stimulus discrimination in a retinal model. Neural computation. 16 [PubMed]

Kim JK, Fiorillo CD. (2017). Theory of optimal balance predicts and explains the amplitude and decay time of synaptic inhibition. Nature communications. 8 [PubMed]

Kitano K, Fukai T. (2007). Variability v.s. synchronicity of neuronal activity in local cortical network models with different wiring topologies. Journal of computational neuroscience. 23 [PubMed]

Klein DJ, Simon JZ, Depireux DA, Shamma SA. (2006). Stimulus-invariant processing and spectrotemporal reverse correlation in primary auditory cortex. Journal of computational neuroscience. 20 [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]

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]

Lerchner A et al. (2006). Response variability in balanced cortical networks. Neural computation. 18 [PubMed]

Lestienne R. (2001). Spike timing, synchronization and information processing on the sensory side of the central nervous system. Progress in neurobiology. 65 [PubMed]

Litvak V, Sompolinsky H, Segev I, Abeles M. (2003). On the transmission of rate code in long feedforward networks with excitatory-inhibitory balance. The Journal of neuroscience : the official journal of the Society for Neuroscience. 23 [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]

Masquelier T, Hugues E, Deco G, Thorpe SJ. (2009). Oscillations, phase-of-firing coding, and spike timing-dependent plasticity: an efficient learning scheme. The Journal of neuroscience : the official journal of the Society for Neuroscience. 29 [PubMed]

Masuda N. (2005). Simultaneous Rate-Synchrony Codes in Populations of Spiking Neurons Neural Comput. 18

Masuda N, Aihara K. (2003). Duality of rate coding and temporal coding in multilayered feedforward networks. Neural computation. 15 [PubMed]

Masuda N, Aihara K. (2004). Self-organizing dual coding based on spike-time-dependent plasticity. Neural computation. 16 [PubMed]

Masuda N, Doiron B, Longtin A, Aihara K. (2005). Coding of temporally varying signals in networks of spiking neurons with global delayed feedback. Neural computation. 17 [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]

Mikula S, Niebur E. (2005). Rate and synchrony in feedforward networks of coincidence detectors: analytical solution. Neural computation. 17 [PubMed]

Morrison A, Mehring C, Geisel T, Aertsen AD, Diesmann M. (2005). Advancing the boundaries of high-connectivity network simulation with distributed computing. Neural computation. 17 [PubMed]

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

Mäki-Marttunen T et al. (2019). Computational modeling of genetic contributions to excitability and neural coding in layer V pyramidal cells: applications to schizophrenia pathology Front. Comput. Neurosci.. 13

Ozer M, Graham LJ, Erkaymaz O, Uzuntarla M. (2007). Impact of synaptic noise and conductance state on spontaneous cortical firing. Neuroreport. 18 [PubMed]

Pola G, Petersen RS, Thiele A, Young MP, Panzeri S. (2005). Data-robust tight lower bounds to the information carried by spike times of a neuronal population. Neural computation. 17 [PubMed]

Prescott SA, De Koninck Y. (2003). Gain control of firing rate by shunting inhibition: roles of synaptic noise and dendritic saturation. Proceedings of the National Academy of Sciences of the United States of America. 100 [PubMed]

Rangan AV, Cai D. (2007). Fast numerical methods for simulating large-scale integrate-and-fire neuronal networks. Journal of computational neuroscience. 22 [PubMed]

Reeke GN, Coop AD. (2004). Estimating the temporal interval entropy of neuronal discharge. Neural computation. 16 [PubMed]

Renart A, Moreno-Bote R, Wang XJ, Parga N. (2007). Mean-driven and fluctuation-driven persistent activity in recurrent networks. Neural computation. 19 [PubMed]

Rossant C, Leijon S, Magnusson AK, Brette R. (2011). Sensitivity of noisy neurons to coincident inputs. The Journal of neuroscience : the official journal of the Society for Neuroscience. 31 [PubMed]

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]

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]

Salinas E, Sejnowski TJ. (2001). Correlated neuronal activity and the flow of neural information. Nature reviews. Neuroscience. 2 [PubMed]

Simmonds B, Chacron MJ. (2015). Activation of parallel fiber feedback by spatially diffuse stimuli reduces signal and noise correlations via independent mechanisms in a cerebellum-like structure. PLoS computational biology. 11 [PubMed]

Sripati AP, Johnson KO. (2006). Dynamic gain changes during attentional modulation. Neural computation. 18 [PubMed]

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]

Susin E, Destexhe A. (2021). Integration, coincidence detection and resonance in networks of spiking neurons expressing gamma oscillations and asynchronous states PLoS computational biology. 17 [PubMed]

Tang AC, Bartels AM, Wolfe J. (1999). Cholinergic modulation of spike timing and spike rate Neurocomputing. 26-27

Tchumatchenko T, Clopath C. (2014). Oscillations emerging from noise-driven steady state in networks with electrical synapses and subthreshold resonance. Nature communications. 5 [PubMed]

Tiesinga PH. (2005). Stimulus competition by inhibitory interference. Neural computation. 17 [PubMed]

Tiesinga PH, Fellous JM, José JV, Sejnowski TJ. (2002). Information transfer in entrained cortical neurons. Network (Bristol, England). 13 [PubMed]

Tiesinga PH, José JV. (2000). Synchronous clusters in a noisy inhibitory neural network. Journal of computational neuroscience. 9 [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]

Vinci G, Ventura V, Smith MA, Kass RE. (2018). Adjusted regularization of cortical covariance. Journal of computational neuroscience. 45 [PubMed]

Wenning G, Obermayer K. (2003). Activity driven adaptive stochastic resonance. Physical review letters. 90 [PubMed]

Wimmer K et al. (2015). Sensory integration dynamics in a hierarchical network explains choice probabilities in cortical area MT. Nature communications. 6 [PubMed]

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