Small modifications to network topology can induce stochastic bistable spiking dynamics in a balanced cortical model.

ABSTRACT: Directed random graph models frequently are used successfully in modeling the population dynamics of networks of cortical neurons connected by chemical synapses. Experimental results consistently reveal that neuronal network topology is complex, however, in the sense that it differs statistically from a random network, and differs for classes of neurons that are physiologically different. This suggests that complex network models whose subnetworks have distinct topological structure may be a useful, and more biologically realistic, alternative to random networks. Here we demonstrate that the balanced excitation and inhibition frequently observed in small cortical regions can transiently disappear in otherwise standard neuronal-scale models of fluctuation-driven dynamics, solely because the

SUBMITTER: McDonnell MD 

PROVIDER: S-EPMC3990528 | biostudies-literature | 2014

REPOSITORIES: biostudies-literature