Differential effects of excitatory and inhibitory heterogeneity on the gain and asynchronous state of sparse cortical networks.

ABSTRACT: Recent experimental and theoretical studies have highlighted the importance of cell-to-cell differences in the dynamics and functions of neural networks, such as in different types of neural coding or synchronization. It is still not known, however, how neural heterogeneity can affect cortical computations, or impact the dynamics of typical cortical circuits constituted of sparse excitatory and inhibitory networks. In this work, we analytically and numerically study the dynamics of a typical cortical circuit with a certain level of neural heterogeneity. Our circuit includes realistic features found in real cortical populations, such as network sparseness, excitatory, and inhibitory subpopulations of neurons, and different cell-to-cell heterogeneities for each type of population in the syst

SUBMITTER: Mejias JF 

PROVIDER: S-EPMC4162374 | biostudies-literature | 2014

REPOSITORIES: biostudies-literature