Spatiotemporal dynamics of neural fields on product spaces
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Published version
Author(s)
Bressloff, Paul C
Carroll, Samuel R
Type
Journal Article
Abstract
Motivated by the functional architecture of the primary visual cortex, we analyze solutions to a
neural field equation defined on the product space R × S1, where the circle S1 represents the
orientation preferences of neurons. We show how standard solutions such as orientation bumps in
S1 and traveling wavefronts in R can destabilize in the presence of this product structure. Using
bifurcation theory, we derive amplitude equations describing the spatiotemporal evolution of these
instabilities. In the case of destabilization of an orientation bump, we find that synaptic weight
kernels representing the patchiness of horizontal cortical connections yield new stable pattern forming
solutions. For traveling wavefronts, we find that cross-orientation inhibition induces the formation
of a stable propagating orientation bump at the location of the wavefront.
neural field equation defined on the product space R × S1, where the circle S1 represents the
orientation preferences of neurons. We show how standard solutions such as orientation bumps in
S1 and traveling wavefronts in R can destabilize in the presence of this product structure. Using
bifurcation theory, we derive amplitude equations describing the spatiotemporal evolution of these
instabilities. In the case of destabilization of an orientation bump, we find that synaptic weight
kernels representing the patchiness of horizontal cortical connections yield new stable pattern forming
solutions. For traveling wavefronts, we find that cross-orientation inhibition induces the formation
of a stable propagating orientation bump at the location of the wavefront.
Date Issued
2014-01
Date Acceptance
2014-09-22
Citation
SIAM Journal on Applied Dynamical Systems, 2014, 13 (4), pp.1620-1653
ISSN
1536-0040
Publisher
Society for Industrial and Applied Mathematics
Start Page
1620
End Page
1653
Journal / Book Title
SIAM Journal on Applied Dynamical Systems
Volume
13
Issue
4
Copyright Statement
© 2014, Society for Industrial and Applied Mathematics.
Identifier
http://dx.doi.org/10.1137/140976339
Publication Status
Published
Date Publish Online
2014-11-20