Kinetic theory for neuronal network dynamics (2006)
Cai, David, Tao, Louis, Rangan, Aaditya V., McLaughlin, David W.
We present a detailed theoretical framework for statistical descriptions of neuronal networks and derive $(1+1)$-dimensional kinetic equations, without introducing any new parameters, directly from...
Architectural and synaptic mechanisms underlying coherent spontaneous activity in V1
Cai, David, Rangan, Aaditya V., McLaughlin, David W.
To investigate the existence and the characteristics of possible cortical operating points of the primary visual cortex, as manifested by the coherent spontaneous ongoing activity revealed by...
Rangan, Aaditya V., Cai, David, McLaughlin, David W.
Our large-scale computational model of the primary visual cortex that incorporates orientation-specific, long-range couplings with slow NMDA conductances operates in a fluctuating dynamic state of...
Architectural and synaptic mechanisms underlying coherent spontaneous activity in V1
Cai, David, Rangan, Aaditya V., McLaughlin, David W.
To investigate the existence and the characteristics of possible cortical operating points of the primary visual cortex, as manifested by the coherent spontaneous ongoing activity revealed by...
Rangan, Aaditya V., Cai, David, McLaughlin, David W.
Our large-scale computational model of the primary visual cortex that incorporates orientation-specific, long-range couplings with slow NMDA conductances operates in a fluctuating dynamic state of...
Quantifying neuronal network dynamics through coarse-grained event trees
Rangan, Aaditya V., Cai, David, McLaughlin, David W.
Animals process information about many stimulus features simultaneously, swiftly (in a few 100 ms), and robustly (even when individual neurons do not themselves respond reliably). When the brain...