Stochastic bursting in networks of excitable units with delayed coupling

Biol Cybern. 2022 Apr;116(2):121-128. doi: 10.1007/s00422-021-00883-9. Epub 2021 Jun 28.

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.

Keywords: Excitable system; Noise-induced spikes; Point process; Time-delayed coupling.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Action Potentials
  • Models, Neurological*
  • Noise*
  • Probability
  • Stochastic Processes