Stabilization of pulse waves through inhibition in a feedforward neural networks
Identifieur interne : 004296 ( Crin/Curation ); précédent : 004295; suivant : 004297Stabilization of pulse waves through inhibition in a feedforward neural networks
Auteurs : Arnaud TonnelierSource :
- Physica D ; 2005.
English descriptors
Abstract
We consider a firing rate model of a neural network of excitatory and inhibitory populations with an excitatory feedforward connectivity. We analyze traveling wave solutions and determine the conditions for their existence and stability. Our study demonstrates the role of inhibition in stable pulse propagation. In a purely excitatory network, pulse waves are unstable because of the existence of stable frontwave and backwave with different velocities. Pulsewaves can propagate stably in the network where excitation is appropriately balanced by inhibition. Analytical results on the wave speeds and the shape of waves are obtained.
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<front><div type="abstract" xml:lang="en" wicri:score="2264">We consider a firing rate model of a neural network of excitatory and inhibitory populations with an excitatory feedforward connectivity. We analyze traveling wave solutions and determine the conditions for their existence and stability. Our study demonstrates the role of inhibition in stable pulse propagation. In a purely excitatory network, pulse waves are unstable because of the existence of stable frontwave and backwave with different velocities. Pulsewaves can propagate stably in the network where excitation is appropriately balanced by inhibition. Analytical results on the wave speeds and the shape of waves are obtained.</div>
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<BibTex type="article"><ref>tonnelier05a</ref>
<crinnumber>A05-R-289</crinnumber>
<category>1</category>
<equipe>CORTEX</equipe>
<author><e>Tonnelier, Arnaud</e>
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<title>Stabilization of pulse waves through inhibition in a feedforward neural networks</title>
<journal>Physica D</journal>
<year>2005</year>
<volume>210</volume>
<number>1-2</number>
<pages>118--137</pages>
<month>Oct</month>
<keywords><e>neural networks</e>
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<abstract>We consider a firing rate model of a neural network of excitatory and inhibitory populations with an excitatory feedforward connectivity. We analyze traveling wave solutions and determine the conditions for their existence and stability. Our study demonstrates the role of inhibition in stable pulse propagation. In a purely excitatory network, pulse waves are unstable because of the existence of stable frontwave and backwave with different velocities. Pulsewaves can propagate stably in the network where excitation is appropriately balanced by inhibition. Analytical results on the wave speeds and the shape of waves are obtained.</abstract>
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