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dc.provenanceCONICET-
dc.creatorMontani, Fernando Fabián-
dc.creatorRosso, Osvaldo Aníbal-
dc.creatorMatias, Fernanda S.-
dc.creatorBressler, Steven L.-
dc.creatorMirasso, Claudio R.-
dc.date2018-06-08T17:55:29Z-
dc.date2018-06-08T17:55:29Z-
dc.date2015-12-
dc.date2018-06-08T14:24:30Z-
dc.date.accessioned2019-04-29T15:37:00Z-
dc.date.available2019-04-29T15:37:00Z-
dc.date.issued2015-12-
dc.identifierMontani, Fernando Fabián; Rosso, Osvaldo Aníbal; Matias, Fernanda S.; Bressler, Steven L.; Mirasso, Claudio R.; A symbolic information approach to determine anticipated and delayed synchronization in neuronal circuit models; The Royal Society; Philosophical Transactions of the Royal Society A - Mathematical Physical and Engineering Sciences; 373; 2056; 12-2015; 1101-11014-
dc.identifier1364-503X-
dc.identifierhttp://hdl.handle.net/11336/47906-
dc.identifierCONICET Digital-
dc.identifierCONICET-
dc.identifier.urihttp://rodna.bn.gov.ar:8080/jspui/handle/bnmm/297801-
dc.descriptionThe phenomenon of synchronization between two or more areas of the brain coupled asymmetrically is a relevant issue for understanding mechanisms and functions within the cerebral cortex. Anticipated synchronization (AS) refers to the situation in which the receiver system synchronizes to the future dynamics of the sender system while the intuitively expected delayed synchronization (DS) represents exactly the opposite case. AS and DS are investigated in the context of causal information formalism. More specifically, we use a multi-scale symbolicinformation-theory approach for discriminating the time delay displayed between two areas of the brain when they exchange information.-
dc.descriptionFil: Montani, Fernando Fabián. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Física de Líquidos y Sistemas Biológicos. Universidad Nacional de La Plata. Facultad de Ciencias Exactas. Instituto de Física de Líquidos y Sistemas Biológicos; Argentina-
dc.descriptionFil: Rosso, Osvaldo Aníbal. Universidade Federal de Alagoas; Brasil-
dc.descriptionFil: Matias, Fernanda S.. Universidade Federal de Alagoas; Brasil-
dc.descriptionFil: Bressler, Steven L.. Florida Atlantic University. Department of Psychology. Center for Complex Systems and Brain Sciences; Estados Unidos-
dc.descriptionFil: Mirasso, Claudio R.. Universidad de las Islas Baleares; España. Consejo Superior de Investigaciones Científicas. Instituto de Física Interdisciplinar y Sistemas Complejos; España-
dc.formatapplication/pdf-
dc.formatapplication/pdf-
dc.languageeng-
dc.publisherThe Royal Society-
dc.relationinfo:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1098/rsta.2015.0110-
dc.relationinfo:eu-repo/semantics/altIdentifier/url/http://rsta.royalsocietypublishing.org/content/373/2056/20150110-
dc.rightsinfo:eu-repo/semantics/restrictedAccess-
dc.rightshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/-
dc.sourcereponame:CONICET Digital (CONICET)-
dc.sourceinstname:Consejo Nacional de Investigaciones Científicas y Técnicas-
dc.sourceinstacron:CONICET-
dc.source.urihttp://hdl.handle.net/11336/47906-
dc.subjectANTICIPATED AND DELAYED SYNCHRONIZATION-
dc.subjectENTROPY-
dc.subjectSTATISTICAL COMPLEXITY-
dc.subjectENTROPY–COMPLEXITY CAUSALITY PLANE-
dc.subjectAstronomía-
dc.subjectCiencias Físicas-
dc.subjectCIENCIAS NATURALES Y EXACTAS-
dc.titleA symbolic information approach to determine anticipated and delayed synchronization in neuronal circuit models-
dc.typeinfo:eu-repo/semantics/article-
dc.typeinfo:eu-repo/semantics/publishedVersion-
dc.typeinfo:ar-repo/semantics/articulo-
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