Excitation/Inhibition Patterns in a System of Coupled Cortical Columns

Détails

ID Serval
serval:BIB_297864361032
Type
Actes de conférence (partie): contribution originale à la littérature scientifique, publiée à l'occasion de conférences scientifiques, dans un ouvrage de compte-rendu (proceedings), ou dans l'édition spéciale d'un journal reconnu (conference proceedings).
Collection
Publications
Institution
Titre
Excitation/Inhibition Patterns in a System of Coupled Cortical Columns
Titre de la conférence
Artificial Neural Networks and Machine Learning – ICANN 2014
Auteur⸱e⸱s
Malagarriga D., Villa A.E.P., García-Ojalvo J., Pons A.J.
Editeur
Springer International Publishing
Adresse
Hamburg, Germany
ISBN
978-3-319-11178-0
978-3-319-11179-7
ISSN
0302-9743
1611-3349
Statut éditorial
Publié
Date de publication
2014
Peer-reviewed
Oui
Volume
8681
Série
Lecture Notes in Computer Science (LNCS)
Pages
651-658
Langue
anglais
Résumé
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.
Création de la notice
04/08/2017 8:11
Dernière modification de la notice
21/08/2019 5:12
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