Physiologically motivated multiplex Kuramoto model describes phase diagram of cortical activity.

ABSTRACT: We derive a two-layer multiplex Kuramoto model from Wilson-Cowan type physiological equations that describe neural activity on a network of interconnected cortical regions. This is mathematically possible due to the existence of a unique, stable limit cycle, weak coupling, and inhibitory synaptic time delays. We study the phase diagram of this model numerically as a function of the inter-regional connection strength that is related to cerebral blood flow, and a phase shift parameter that is associated with synaptic GABA concentrations. We find three macroscopic phases of cortical activity: background activity (unsynchronized oscillations), epileptiform activity (highly synchronized oscillations) and resting-state activity (synchronized clusters/chaotic behaviour). Previous network models c

SUBMITTER: Sadilek M 

PROVIDER: S-EPMC4650820 | biostudies-literature | 2015 May

REPOSITORIES: biostudies-literature