Excitation/Inhibition Patterns in a System of Coupled Cortical Columns
Details
Serval ID
serval:BIB_297864361032
Type
Inproceedings: an article in a conference proceedings.
Collection
Publications
Institution
Title
Excitation/Inhibition Patterns in a System of Coupled Cortical Columns
Title of the conference
Artificial Neural Networks and Machine Learning – ICANN 2014
Publisher
Springer International Publishing
Address
Hamburg, Germany
ISBN
978-3-319-11178-0
978-3-319-11179-7
978-3-319-11179-7
ISSN
0302-9743
1611-3349
1611-3349
Publication state
Published
Issued date
2014
Peer-reviewed
Oui
Volume
8681
Series
Lecture Notes in Computer Science (LNCS)
Pages
651-658
Language
english
Abstract
We study how excitation and inhibition are distributed mesoscopically in small brain regions, by means of a computational model of coupled cortical columns described by neural mass models. Two cortical columns coupled bidirectionally through both excitatory and inhibitory connections can spontaneously organize in a regime in which one of the columns is purely excitatory and the other is purely inhibitory, provided the excitatory and inhibitory coupling strengths are adequately tuned. We also study the case of three columns in different coupling configurations (linear array and all-to-all coupling), finding abrupt transitions between heterogeneous and homogeneous excitatory/inhibitory patterns and strong multistability in their distribution.
Create date
04/08/2017 8:11
Last modification date
21/08/2019 5:12