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dc.contributor.authorMalagarriga Guasch, Daniel
dc.contributor.authorVilla, Alessandro
dc.contributor.authorGarcía Ojalvo, Jordi
dc.contributor.authorPons Rivero, Antonio Javier
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Física i Enginyeria Nuclear
dc.date.accessioned2015-04-30T08:53:32Z
dc.date.created2014
dc.date.issued2014
dc.identifier.citationMalagarriga, D. [et al.]. Excitation/inhibition patterns in a system of coupled cortical columns. A: International Conference on Artificial Neural Networks. "Artificial Neural Networks and Machine Learning – ICANN 2014 : 24th International Conference on Artificial Neural Networks, Hamburg, Germany, September 15-19, 2014. Proceedings". Hamburg: 2014, p. 651-658.
dc.identifier.isbn978-331911178-0
dc.identifier.urihttp://hdl.handle.net/2117/27684
dc.description.abstractWe 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.
dc.format.extent8 p.
dc.language.isoeng
dc.subjectÀrees temàtiques de la UPC::Informàtica::Aplicacions de la informàtica::Bioinformàtica
dc.subject.lcshBrain -- Localization of functions
dc.titleExcitation/inhibition patterns in a system of coupled cortical columns
dc.typeConference report
dc.subject.lemacCervell -- Localització de funcions
dc.contributor.groupUniversitat Politècnica de Catalunya. DONLL - Dinàmica no Lineal, Òptica no Lineal i Làsers
dc.identifier.doi10.1007/978-3-319-11179-7-82
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttp://link.springer.com/chapter/10.1007%2F978-3-319-11179-7_82
dc.rights.accessRestricted access - publisher's policy
local.identifier.drac15260714
dc.description.versionPostprint (published version)
dc.date.lift10000-01-01
local.citation.authorMalagarriga, D.; Villa, A.; Garcia, J.; Pons, A. J.
local.citation.contributorInternational Conference on Artificial Neural Networks
local.citation.pubplaceHamburg
local.citation.publicationNameArtificial Neural Networks and Machine Learning – ICANN 2014 : 24th International Conference on Artificial Neural Networks, Hamburg, Germany, September 15-19, 2014. Proceedings
local.citation.startingPage651
local.citation.endingPage658


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