Two-Dimensional Bumps in Piecewise Smooth Neural Fields with Synaptic Depression

Paul C. Bressloff, Zachary P. Kilpatrick

Research output: Contribution to journalArticlepeer-review

22 Scopus citations

Abstract

We analyze radially symmetric bumps in a two-dimensional piecewise-smooth neural field model with synaptic depression. The continuum dynamics is described in terms of a nonlocal integrodifferential equation, in which the integral kernel represents the spatial distribution of synaptic weights between populations of neurons whose mean firing rate is taken to be a Heaviside function of local activity. Synaptic depression dynamically reduces the strength of synaptic weights in response to increases in activity. We show that in the case of a Mexican hat weight distribution, sufficiently strong synaptic depression can destabilize a stationary bump solution that would be stable in the absence of depression. Numerically it is found that the resulting instability leads to the formation of a traveling spot. The local stability of a bump is determined by solutions to a system of pseudolinear equations that take into account the sign of perturbations around the circular bump boundary. © 2011 Society for Industrial and Applied Mathematics.
Original languageEnglish (US)
Pages (from-to)379-408
Number of pages30
JournalSIAM Journal on Applied Mathematics
Volume71
Issue number2
DOIs
StatePublished - Jan 2011
Externally publishedYes

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