Abeles M. (1991). Corticonics: Neural Circuits of the Cerebral Cortex..
Aertsen A, Diesmann M, Gewaltig MO. (1996). Propagation of synchronous spiking activity in feedforward neural networks. Journal of physiology, Paris. 90 [PubMed]
Aertsen A, Rotter S, Kumar A, Schrader S. (2005). Dynamics of random networks of spiking neurons with conductance-based synapses Abstr Comput Sys Neurosci. 153
Amit DJ, Brunel N. (1997). Model of global spontaneous activity and local structured activity during delay periods in the cerebral cortex. Cerebral cortex (New York, N.Y. : 1991). 7 [PubMed]
Anderson JS, Lampl I, Gillespie DC, Ferster D. (2000). The contribution of noise to contrast invariance of orientation tuning in cat visual cortex. Science (New York, N.Y.). 290 [PubMed]
Aviel Y, Mehring C, Abeles M, Horn D. (2003). On embedding synfire chains in a balanced network. Neural computation. 15 [PubMed]
Beggs JM, Plenz D. (2003). Neuronal avalanches in neocortical circuits. The Journal of neuroscience : the official journal of the Society for Neuroscience. 23 [PubMed]
Brunel N. (2000). Dynamics of networks of randomly connected excitatory and inhibitory spiking neurons. Journal of physiology, Paris. 94 [PubMed]
Burns BD, Webb AC. (1976). The spontaneous activity of neurones in the cat's cerebral cortex. Proceedings of the Royal Society of London. Series B, Biological sciences. 194 [PubMed]
Dean AF. (1981). The variability of discharge of simple cells in the cat striate cortex. Experimental brain research. 44 [PubMed]
Diesmann M, Gewaltig MO, Aertsen A. (1999). Stable propagation of synchronous spiking in cortical neural networks. Nature. 402 [PubMed]
Harris TE. (1963). The theory of branching processes.
Hawken MJ, Shapley RM, Grosof DH. (1996). Temporal-frequency selectivity in monkey visual cortex. Visual neuroscience. 13 [PubMed]
Hertz J, Lerchner A, Ahmadi M. (2004). High-conductance states in a mean field cortical network model Neurocomputing. 58
Holt GR, Softky WR, Koch C, Douglas RJ. (1996). Comparison of discharge variability in vitro and in vivo in cat visual cortex neurons. Journal of neurophysiology. 75 [PubMed]
Kuhn A, Aertsen A, Rotter S. (2004). Neuronal integration of synaptic input in the fluctuation-driven regime. The Journal of neuroscience : the official journal of the Society for Neuroscience. 24 [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]
Movshon JA, Thompson ID, Tolhurst DJ. (1978). Spatial and temporal contrast sensitivity of neurones in areas 17 and 18 of the cat's visual cortex. The Journal of physiology. 283 [PubMed]
Orban GA, Hoffmann KP, Duysens J. (1985). Velocity selectivity in the cat visual system. I. Responses of LGN cells to moving bar stimuli: a comparison with cortical areas 17 and 18. Journal of neurophysiology. 54 [PubMed]
Reyes AD. (2003). Synchrony-dependent propagation of firing rate in iteratively constructed networks in vitro. Nature neuroscience. 6 [PubMed]
Softky WR, Koch C. (1993). The highly irregular firing of cortical cells is inconsistent with temporal integration of random EPSPs. The Journal of neuroscience : the official journal of the Society for Neuroscience. 13 [PubMed]
Song S, Sjöström PJ, Reigl M, Nelson S, Chklovskii DB. (2005). Highly nonrandom features of synaptic connectivity in local cortical circuits. PLoS biology. 3 [PubMed]
Vogels TP, Rajan K, Abbott LF. (2005). Neural network dynamics. Annual review of neuroscience. 28 [PubMed]
Zapperi S, Bækgaard Lauritsen K, Stanley HE. (1995). Self-organized branching processes: Mean-field theory for avalanches. Physical review letters. 75 [PubMed]
de Carvalho JX, Prado CP. (2000). Self-organized criticality in the olami-feder-christensen model Physical review letters. 84 [PubMed]
van Rossum MC, Turrigiano GG, Nelson SB. (2002). Fast propagation of firing rates through layered networks of noisy neurons. The Journal of neuroscience : the official journal of the Society for Neuroscience. 22 [PubMed]
van Vreeswijk C, Sompolinsky H. (1996). Chaos in neuronal networks with balanced excitatory and inhibitory activity. Science (New York, N.Y.). 274 [PubMed]
van Vreeswijk C, Sompolinsky H. (1998). Chaotic balanced state in a model of cortical circuits. Neural computation. 10 [PubMed]
Alturki A, Feng F, Nair A, Guntu V, Nair SS. (2016). Distinct current modules shape cellular dynamics in model neurons. Neuroscience. 334 [PubMed]
Bittner SR et al. (2017). Population activity structure of excitatory and inhibitory neurons. PloS one. 12 [PubMed]
Brette R et al. (2007). Simulation of networks of spiking neurons: a review of tools and strategies. Journal of computational neuroscience. 23 [PubMed]
Dayhoff JE. (2007). Computational properties of networks of synchronous groups of spiking neurons. Neural computation. 19 [PubMed]
Destexhe A. (2009). Self-sustained asynchronous irregular states and Up-Down states in thalamic, cortical and thalamocortical networks of nonlinear integrate-and-fire neurons. Journal of computational neuroscience. 27 [PubMed]
Jercog D et al. (2017). UP-DOWN cortical dynamics reflect state transitions in a bistable network. eLife. 6 [PubMed]
Kerr CC et al. (2013). Cortical information flow in Parkinson's disease: a composite network/field model. Frontiers in computational neuroscience. 7 [PubMed]
Kumar A, Schrader S, Aertsen A, Rotter S. (2008). The high-conductance state of cortical networks. Neural computation. 20 [PubMed]
Litwin-Kumar A, Doiron B. (2012). Slow dynamics and high variability in balanced cortical networks with clustered connections. Nature neuroscience. 15 [PubMed]
Lytton WW, Orman R, Stewart M. (2008). Broadening of activity with flow across neural structures. Perception. 37 [PubMed]
Marre O, Yger P, Davison AP, Frégnac Y. (2009). Reliable recall of spontaneous activity patterns in cortical networks. The Journal of neuroscience : the official journal of the Society for Neuroscience. 29 [PubMed]
Masuda N, Kori H. (2007). Formation of feedforward networks and frequency synchrony by spike-timing-dependent plasticity. Journal of computational neuroscience. 22 [PubMed]
Miller P, Wang XJ. (2006). Stability of discrete memory states to stochastic fluctuations in neuronal systems. Chaos (Woodbury, N.Y.). 16 [PubMed]
Muller L, Brette R, Gutkin B. (2011). Spike-timing dependent plasticity and feed-forward input oscillations produce precise and invariant spike phase-locking. Frontiers in computational neuroscience. 5 [PubMed]
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]
Potjans TC, Diesmann M. (2014). The cell-type specific cortical microcircuit: relating structure and activity in a full-scale spiking network model. Cerebral cortex (New York, N.Y. : 1991). 24 [PubMed]
Richert M, Nageswaran JM, Dutt N, Krichmar JL. (2011). An efficient simulation environment for modeling large-scale cortical processing. Frontiers in neuroinformatics. 5 [PubMed]
Shimoura RO et al. (2018). [Re] The cell-type specific cortical microcircuit: relating structure and activity in a full-scale spiking network model The ReScience Journal. 4(1)
Stewart RD, Bair W. (2009). Spiking neural network simulation: numerical integration with the Parker-Sochacki method. Journal of computational neuroscience. 27 [PubMed]
Sussillo D, Toyoizumi T, Maass W. (2007). Self-tuning of neural circuits through short-term synaptic plasticity. Journal of neurophysiology. 97 [PubMed]
Sweeney Y, Hellgren Kotaleski J, Hennig MH. (2015). A Diffusive Homeostatic Signal Maintains Neural Heterogeneity and Responsiveness in Cortical Networks. PLoS computational biology. 11 [PubMed]
Tomm C, Avermann M, Petersen C, Gerstner W, Vogels TP. (2014). Connection-type-specific biases make uniform random network models consistent with cortical recordings. Journal of neurophysiology. 112 [PubMed]
Tomov P, Pena RF, Zaks MA, Roque AC. (2014). Sustained oscillations, irregular firing, and chaotic dynamics in hierarchical modular networks with mixtures of electrophysiological cell types. Frontiers in computational neuroscience. 8 [PubMed]
Versace M, Ames H, Léveillé J, Fortenberry B, Gorchetchnikov A. (2008). KInNeSS: a modular framework for computational neuroscience. Neuroinformatics. 6 [PubMed]
Vogels TP, Sprekeler H, Zenke F, Clopath C, Gerstner W. (2011). Inhibitory plasticity balances excitation and inhibition in sensory pathways and memory networks. Science (New York, N.Y.). 334 [PubMed]
Zeldenrust F, Chameau P, Wadman WJ. (2018). Spike and burst coding in thalamocortical relay cells. PLoS computational biology. 14 [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]