Traveling fronts and wave propagation failure in an inhomogeneous neural network
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Accepted version
Author(s)
Bressloff, Paul C
Type
Journal Article
Abstract
We use averaging and homogenization theory to study the propagation of traveling wavefronts in an inhomogeneous excitable neural medium. Motivated by the functional architecture of primary visual cortex, we model the inhomogeneity as a periodic modulation in the long-range neuronal connections. We derive an expression for the effective wavespeed and show that propagation failure can occur if the speed is too slow or the degree of inhomogeneity is too large. We find that there are major qualitative differences in the wavespeed for different choices of the homogenized weight distribution.
Date Issued
2001-07-01
Date Acceptance
2001-03-02
Citation
Physica D: Nonlinear Phenomena, 2001, 155 (1-2), pp.83-100
ISSN
0167-2789
Publisher
Elsevier BV
Start Page
83
End Page
100
Journal / Book Title
Physica D: Nonlinear Phenomena
Volume
155
Issue
1-2
Copyright Statement
Copyright © Elsevier Ltd. All rights reserved. This manuscript version is made available under the CC-BY-NC-ND 4.0 license https://creativecommons.org/licenses/by-nc-nd/4.0/
Identifier
http://dx.doi.org/10.1016/s0167-2789(01)00266-4
Publication Status
Published
Date Publish Online
2001-07-24