Mesoscopic dynamics from AdEx recurrent networks (Zerlaut et al JCNS 2018)


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]

See more from authors: Zerlaut Y · Chemla S · Chavane F · Destexhe A

References and models cited by this paper

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]

Angelucci A et al. (2002). Circuits for local and global signal integration in primary visual cortex. The Journal of neuroscience : the official journal of the Society for Neuroscience. 22 [PubMed]

Arieli A, Grinvald A, Slovin H. (2002). Dural substitute for long-term imaging of cortical activity in behaving monkeys and its clinical implications. Journal of neuroscience methods. 114 [PubMed]

Arieli A, Sterkin A, Grinvald A, Aertsen A. (1996). Dynamics of ongoing activity: explanation of the large variability in evoked cortical responses. Science (New York, N.Y.). 273 [PubMed]

Augustin M, Ladenbauer J, Baumann F, Obermayer K. (2017). Low-dimensional spike rate models derived from networks of adaptive integrate-and-fire neurons: Comparison and implementation. PLoS computational biology. 13 [PubMed]

Berger T et al. (2007). Combined voltage and calcium epifluorescence imaging in vitro and in vivo reveals subthreshold and suprathreshold dynamics of mouse barrel cortex. Journal of neurophysiology. 97 [PubMed]

Brette R, Gerstner W. (2005). Adaptive exponential integrate-and-fire model as an effective description of neuronal activity. Journal of neurophysiology. 94 [PubMed]

Bringuier V, Chavane F, Glaeser L, Frégnac Y. (1999). Horizontal propagation of visual activity in the synaptic integration field of area 17 neurons. Science (New York, N.Y.). 283 [PubMed]

Brunel N. (2000). Dynamics of sparsely connected networks of excitatory and inhibitory spiking neurons. Journal of computational neuroscience. 8 [PubMed]

Brunel N, Hakim V. (1999). Fast global oscillations in networks of integrate-and-fire neurons with low firing rates. Neural computation. 11 [PubMed]

Brunel N, Wang XJ. (2003). What determines the frequency of fast network oscillations with irregular neural discharges? I. Synaptic dynamics and excitation-inhibition balance. Journal of neurophysiology. 90 [PubMed]

Buzás P et al. (2006). Model-based analysis of excitatory lateral connections in the visual cortex. The Journal of comparative neurology. 499 [PubMed]

Chemla S, Chavane F. (2010). A biophysical cortical column model to study the multi-component origin of the VSDI signal. NeuroImage. 53 [PubMed]

Chemla S, Chavane F. (2016). Effects of GABAA kinetics on cortical population activity: computational studies and physiological confirmations. Journal of neurophysiology. 115 [PubMed]

Chen Y, Geisler WS, Seidemann E. (2006). Optimal decoding of correlated neural population responses in the primate visual cortex. Nature neuroscience. 9 [PubMed]

Chen Y, Geisler WS, Seidemann E. (2008). Optimal temporal decoding of neural population responses in a reaction-time visual detection task. Journal of neurophysiology. 99 [PubMed]

Civillico EF, Contreras D. (2012). Spatiotemporal properties of sensory responses in vivo are strongly dependent on network context. Frontiers in systems neuroscience. 6 [PubMed]

Contreras D, Llinas R. (2001). Voltage-sensitive dye imaging of neocortical spatiotemporal dynamics to afferent activation frequency. The Journal of neuroscience : the official journal of the Society for Neuroscience. 21 [PubMed]

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

El Boustani S, Destexhe A. (2009). A master equation formalism for macroscopic modeling of asynchronous irregular activity states. Neural computation. 21 [PubMed]

Ferezou I, Bolea S, Petersen CC. (2006). Visualizing the cortical representation of whisker touch: voltage-sensitive dye imaging in freely moving mice. Neuron. 50 [PubMed]

Gawne TJ, McClurkin JW, Richmond BJ, Optican LM. (1991). Lateral geniculate neurons in behaving primates. III. Response predictions of a channel model with multiple spatial-to-temporal filters. Journal of neurophysiology. 66 [PubMed]

Gilad A, Slovin H. (2015). Population responses in V1 encode different figures by response amplitude. The Journal of neuroscience : the official journal of the Society for Neuroscience. 35 [PubMed]

Girard P, Hupé JM, Bullier J. (2001). Feedforward and feedback connections between areas V1 and V2 of the monkey have similar rapid conduction velocities. Journal of neurophysiology. 85 [PubMed]

Goodman DF, Brette R. (2009). The brian simulator. Frontiers in neuroscience. 3 [PubMed]

Hansel D, Sompolinsky H. (1996). Chaos and synchrony in a model of a hypercolumn in visual cortex. Journal of computational neuroscience. 3 [PubMed]

Jancke D, Chavane F, Naaman S, Grinvald A. (2004). Imaging cortical correlates of illusion in early visual cortex. Nature. 428 [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]

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

Latham PE, Richmond BJ, Nelson PG, Nirenberg S. (2000). Intrinsic dynamics in neuronal networks. I. Theory. Journal of neurophysiology. 83 [PubMed]

Ledoux E, Brunel N. (2011). Dynamics of networks of excitatory and inhibitory neurons in response to time-dependent inputs. Frontiers in computational neuroscience. 5 [PubMed]

Markram H et al. (2015). Reconstruction and Simulation of Neocortical Microcircuitry. Cell. 163 [PubMed]

Markram H et al. (2004). Interneurons of the neocortical inhibitory system. Nature reviews. Neuroscience. 5 [PubMed]

McCormick DA, Connors BW, Lighthall JW, Prince DA. (1985). Comparative electrophysiology of pyramidal and sparsely spiny stellate neurons of the neocortex. Journal of neurophysiology. 54 [PubMed]

Meirovithz E et al. (2010). Population response to contextual influences in the primary visual cortex. Cerebral cortex (New York, N.Y. : 1991). 20 [PubMed]

Muller L, Reynaud A, Chavane F, Destexhe A. (2014). The stimulus-evoked population response in visual cortex of awake monkey is a propagating wave. Nature communications. 5 [PubMed]

Papoulis A. (1991). Probability, Random Variables, And Stochastic Processes.

Platkiewicz J, Brette R. (2010). A threshold equation for action potential initiation. PLoS computational biology. 6 [PubMed]

Reinhold K, Lien AD, Scanziani M. (2015). Distinct recurrent versus afferent dynamics in cortical visual processing. Nature neuroscience. 18 [PubMed]

Reynaud A, Masson GS, Chavane F. (2012). Dynamics of local input normalization result from balanced short- and long-range intracortical interactions in area V1. The Journal of neuroscience : the official journal of the Society for Neuroscience. 32 [PubMed]

Shoham D et al. (1999). Imaging cortical dynamics at high spatial and temporal resolution with novel blue voltage-sensitive dyes. Neuron. 24 [PubMed]

Steriade M, Timofeev I, Grenier F. (2001). Natural waking and sleep states: a view from inside neocortical neurons. Journal of neurophysiology. 85 [PubMed]

Stettler DD, Das A, Bennett J, Gilbert CD. (2002). Lateral connectivity and contextual interactions in macaque primary visual cortex. Neuron. 36 [PubMed]

Tan AY, Chen Y, Scholl B, Seidemann E, Priebe NJ. (2014). Sensory stimulation shifts visual cortex from synchronous to asynchronous states. Nature. 509 [PubMed]

Vere-jones D, Daley DJ. (2007). An introduction to the theory of point processes general theory and structure. 2

Vogels TP, Abbott LF. (2005). Signal propagation and logic gating in networks of integrate-and-fire neurons. The Journal of neuroscience : the official journal of the Society for Neuroscience. 25 [PubMed]

Wang X, Brunel N, Renart A. (2004). Mean-Field Theory of Irregularly Spiking Neuronal Populations and Working Memory in Recurrent Cortical Networks Computational Neuroscience: A Comprehensive Approach.

Yger P, El Boustani S, Destexhe A, Frégnac Y. (2011). Topologically invariant macroscopic statistics in balanced networks of conductance-based integrate-and-fire neurons. Journal of computational neuroscience. 31 [PubMed]

Zerlaut Y et al. (2016). Heterogeneous firing rate response of mouse layer V pyramidal neurons in the fluctuation-driven regime. The Journal of physiology. 594 [PubMed]

van Vreeswijk C, Sompolinsky H. (1996). Chaos in neuronal networks with balanced excitatory and inhibitory activity. Science (New York, N.Y.). 274 [PubMed]

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