Average activity of excitatory and inhibitory neural populations

Abstract

We develop an extension of the Ott-Antonsen method that allows obtaining the mean activity (spiking rate) of a population of excitable units. By means of the Ott-Antonsen method, equations for the dynamics of the order parameters of coupled excitatory and inhibitory populations of excitable units are obtained, and their mean activities are computed. Two different excitable systems are studied: Adler units and theta neurons. The resulting bifurcation diagrams are compared to those obtained from studying the phenomenological Wilson-Cowan model in some regions of the parameter space. Compatible behaviors, as well as higher dimensional chaotic solutions, are observed. We study numerical simulations to further validate the equations.

arXiv comment18 pages, 7 figures, accepted for publication in Chaos: An Interdisciplinary Journal of Nonlinear Science

References in corpus (3)

• Low Dimensional Behavior of Large Systems of Globally Coupled Oscillators
• Long Time Evolution of Phase Oscillator Systems
• Macroscopic description for networks of spiking neurons

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