Modeling mesoscopic cortical dynamics using a mean-field model of conductance-based networks of adaptive exponential integrate-and-fire neurons
暂无分享,去创建一个
Alain Destexhe | Frédéric Chavane | Sandrine Chemla | Yann Zerlaut | F. Chavane | S. Chemla | Yann Zerlaut∗ | Alain Destexhe∗
[1] A. Grinvald,et al. Imaging Cortical Dynamics at High Spatial and Temporal Resolution with Novel Blue Voltage-Sensitive Dyes , 1999, Neuron.
[2] Ulrike Goldschmidt,et al. An Introduction To The Theory Of Point Processes , 2016 .
[3] Nicolas Brunel,et al. Fast Global Oscillations in Networks of Integrate-and-Fire Neurons with Low Firing Rates , 1999, Neural Computation.
[4] A. Grinvald,et al. Dynamics of Ongoing Activity: Explanation of the Large Variability in Evoked Cortical Responses , 1996, Science.
[5] Klaus Obermayer,et al. Low-dimensional spike rate models derived from networks of adaptive integrate-and-fire neurons: Comparison and implementation , 2016, PLoS Comput. Biol..
[6] C. Petersen,et al. Visualizing the Cortical Representation of Whisker Touch: Voltage-Sensitive Dye Imaging in Freely Moving Mice , 2006, Neuron.
[7] Hamutal Slovin,et al. Population Responses in V1 Encode Different Figures by Response Amplitude , 2015, The Journal of Neuroscience.
[8] B J Richmond,et al. Lateral geniculate neurons in behaving primates. III. Response predictions of a channel model with multiple spatial-to-temporal filters. , 1991, Journal of neurophysiology.
[9] Tim P Vogels,et al. Signal Propagation and Logic Gating in Networks of Integrate-and-Fire Neurons , 2005, The Journal of Neuroscience.
[10] Diego Contreras,et al. Spatiotemporal properties of sensory responses in vivo are strongly dependent on network context , 2012, Front. Syst. Neurosci..
[11] Pierre Yger,et al. Topologically invariant macroscopic statistics in balanced networks of conductance-based integrate-and-fire neurons , 2011, Journal of Computational Neuroscience.
[12] Arvind Kumar,et al. The High-Conductance State of Cortical Networks , 2008, Neural Computation.
[13] Hamutal Slovin,et al. Population response to contextual influences in the primary visual cortex. , 2010, Cerebral cortex.
[14] Xiao-Jing Wang,et al. Mean-Field Theory of Irregularly Spiking Neuronal Populations and Working Memory in Recurrent Cortical Networks , 2003 .
[15] E. Seidemann,et al. Optimal decoding of correlated neural population responses in the primate visual cortex , 2006, Nature Neuroscience.
[16] E. Seidemann,et al. Optimal temporal decoding of neural population responses in a reaction-time visual detection task. , 2008, Journal of neurophysiology.
[17] F. Chavane,et al. Imaging cortical correlates of illusion in early visual cortex , 2004, Nature.
[18] V. Bringuier,et al. Horizontal propagation of visual activity in the synaptic integration field of area 17 neurons. , 1999, Science.
[19] Wulfram Gerstner,et al. Adaptive exponential integrate-and-fire model as an effective description of neuronal activity. , 2005, Journal of neurophysiology.
[20] F. Chavane,et al. Dynamics of Local Input Normalization Result from Balanced Short- and Long-Range Intracortical Interactions in Area V1 , 2012, The Journal of Neuroscience.
[21] Esko Valkeila,et al. An Introduction to the Theory of Point Processes, Volume II: General Theory and Structure, 2nd Edition by Daryl J. Daley, David Vere‐Jones , 2008 .
[22] F. Chavane,et al. The stimulus-evoked population response in visual cortex of awake monkey is a propagating wave , 2014, Nature Communications.
[23] J. Bullier,et al. Feedforward and feedback connections between areas V1 and V2 of the monkey have similar rapid conduction velocities. , 2001, Journal of neurophysiology.
[24] Nicolas Brunel,et al. Dynamics of Networks of Excitatory and Inhibitory Neurons in Response to Time-Dependent Inputs , 2011, Front. Comput. Neurosci..
[25] Frédéric Chavane,et al. A biophysical cortical column model to study the multi-component origin of the VSDI signal , 2010, NeuroImage.
[26] James G. King,et al. Reconstruction and Simulation of Neocortical Microcircuitry , 2015, Cell.
[27] M. Bennett,et al. Relative conduction velocities of small myelinated and non-myelinated fibres in the central nervous system. , 1972, Nature: New biology.
[28] H. Sompolinsky,et al. Chaos in Neuronal Networks with Balanced Excitatory and Inhibitory Activity , 1996, Science.
[29] Nicolas Brunel,et al. Dynamics of Sparsely Connected Networks of Excitatory and Inhibitory Spiking Neurons , 2000, Journal of Computational Neuroscience.
[30] A. Destexhe,et al. Heterogeneous firing rate response of mouse layer V pyramidal neurons in the fluctuation‐driven regime , 2016, The Journal of physiology.
[31] Alex S. Ferecskó,et al. Model‐based analysis of excitatory lateral connections in the visual cortex , 2006, The Journal of comparative neurology.
[32] Haim Sompolinsky,et al. Chaos and synchrony in a model of a hypercolumn in visual cortex , 1996, Journal of Computational Neuroscience.
[33] D. Amit,et al. Model of global spontaneous activity and local structured activity during delay periods in the cerebral cortex. , 1997, Cerebral cortex.
[34] A. Destexhe,et al. The high-conductance state of neocortical neurons in vivo , 2003, Nature Reviews Neuroscience.
[35] Jean Bennett,et al. Lateral Connectivity and Contextual Interactions in Macaque Primary Visual Cortex , 2002, Neuron.
[36] Thomas K. Berger,et al. Combined voltage and calcium epifluorescence imaging in vitro and in vivo reveals subthreshold and suprathreshold dynamics of mouse barrel cortex. , 2007, Journal of neurophysiology.
[37] Romain Brette,et al. The Brian Simulator , 2009, Front. Neurosci..
[38] Yuzhi Chen,et al. Sensory stimulation shifts visual cortex from synchronous to asynchronous states , 2014, Nature.
[39] D. Contreras,et al. Voltage-Sensitive Dye Imaging of Neocortical Spatiotemporal Dynamics to Afferent Activation Frequency , 2001, The Journal of Neuroscience.
[40] M. Steriade,et al. Natural waking and sleep states: a view from inside neocortical neurons. , 2001, Journal of neurophysiology.
[41] Athanasios Papoulis,et al. Probability, Random Variables and Stochastic Processes , 1965 .
[42] D. McCormick,et al. Comparative electrophysiology of pyramidal and sparsely spiny stellate neurons of the neocortex. , 1985, Journal of neurophysiology.
[43] Alain Destexhe,et al. A Master Equation Formalism for Macroscopic Modeling of Asynchronous Irregular Activity States , 2009, Neural Computation.
[44] Romain Brette,et al. A Threshold Equation for Action Potential Initiation , 2010, PLoS Comput. Biol..
[45] M. Scanziani,et al. Distinct recurrent versus afferent dynamics in cortical visual processing , 2015, Nature Neuroscience.
[46] Amiram Grinvald,et al. Dural substitute for long-term imaging of cortical activity in behaving monkeys and its clinical implications , 2002, Journal of Neuroscience Methods.
[47] I. Miller. Probability, Random Variables, and Stochastic Processes , 1966 .
[48] H. Markram,et al. Interneurons of the neocortical inhibitory system , 2004, Nature Reviews Neuroscience.
[49] Frédéric Chavane,et al. Effects of GABAA kinetics on cortical population activity: computational studies and physiological confirmations. , 2016, Journal of neurophysiology.
[50] Xiao-Jing Wang,et al. What determines the frequency of fast network oscillations with irregular neural discharges? I. Synaptic dynamics and excitation-inhibition balance. , 2003, Journal of neurophysiology.
[51] A. Aertsen,et al. Neuronal Integration of Synaptic Input in the Fluctuation-Driven Regime , 2004, The Journal of Neuroscience.
[52] B. Richmond,et al. Intrinsic dynamics in neuronal networks. I. Theory. , 2000, Journal of neurophysiology.
[53] J. B. Levitt,et al. Circuits for Local and Global Signal Integration in Primary Visual Cortex , 2002, The Journal of Neuroscience.