Stochastic Bursting in Networks of Excitable Units with Delayed Coupling

Overview

Journal Biol Cybern

Specialties Neurology
Physiology

Date 2021 Jun 28

PMID 34181074

Authors

Chunming Zheng

Arkady Pikovsky

Affiliations

Soon will be listed here.

Abstract

We investigate the phenomenon of stochastic bursting in a noisy excitable unit with multiple weak delay feedbacks, by virtue of a directed tree lattice model. We find statistical properties of the appearing sequence of spikes and expressions for the power spectral density. This simple model is extended to a network of three units with delayed coupling of a star type. We find the power spectral density of each unit and the cross-spectral density between any two units. The basic assumptions behind the analytical approach are the separation of timescales, allowing for a description of the spike train as a point process, and weakness of coupling, allowing for a representation of the action of overlapped spikes via the sum of the one-spike excitation probabilities.

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