A symbolic information approach to determine anticipated and delayed synchronization in neuronal circuit models

Autores
Montani, Fernando Fabián; Rosso, Osvaldo Aníbal; Matias, Fernanda S.; Bressler, Steven L.; Mirasso, Claudio R.
Año de publicación
2015
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
The 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.
Fil: 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
Fil: Rosso, Osvaldo Aníbal. Universidade Federal de Alagoas; Brasil
Fil: Matias, Fernanda S.. Universidade Federal de Alagoas; Brasil
Fil: Bressler, Steven L.. Florida Atlantic University. Department of Psychology. Center for Complex Systems and Brain Sciences; Estados Unidos
Fil: Mirasso, Claudio R.. Universidad de las Islas Baleares; España. Consejo Superior de Investigaciones Científicas. Instituto de Física Interdisciplinar y Sistemas Complejos; España
Materia
Anticipated And Delayed Synchronization
Entropy
Statistical Complexity
Entropy–Complexity Causality Plane
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/47906
Acceder
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repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling A symbolic information approach to determine anticipated and delayed synchronization in neuronal circuit modelsMontani, Fernando FabiánRosso, Osvaldo AníbalMatias, Fernanda S.Bressler, Steven L.Mirasso, Claudio R.Anticipated And Delayed SynchronizationEntropyStatistical ComplexityEntropy–Complexity Causality Planehttps://purl.org/becyt/ford/1.3https://purl.org/becyt/ford/1The 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.Fil: 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; ArgentinaFil: Rosso, Osvaldo Aníbal. Universidade Federal de Alagoas; BrasilFil: Matias, Fernanda S.. Universidade Federal de Alagoas; BrasilFil: Bressler, Steven L.. Florida Atlantic University. Department of Psychology. Center for Complex Systems and Brain Sciences; Estados UnidosFil: Mirasso, Claudio R.. Universidad de las Islas Baleares; España. Consejo Superior de Investigaciones Científicas. Instituto de Física Interdisciplinar y Sistemas Complejos; EspañaThe Royal Society2015-12info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/47906Montani, 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; 1101-110141364-503XCONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1098/rsta.2015.0110info:eu-repo/semantics/altIdentifier/url/http://rsta.royalsocietypublishing.org/content/373/2056/20150110info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-22T11:02:58Zoai:ri.conicet.gov.ar:11336/47906instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-10-22 11:02:58.434CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv A symbolic information approach to determine anticipated and delayed synchronization in neuronal circuit models
title A symbolic information approach to determine anticipated and delayed synchronization in neuronal circuit models
spellingShingle A symbolic information approach to determine anticipated and delayed synchronization in neuronal circuit models
Montani, Fernando Fabián
Anticipated And Delayed Synchronization
Entropy
Statistical Complexity
Entropy–Complexity Causality Plane
title_short A symbolic information approach to determine anticipated and delayed synchronization in neuronal circuit models
title_full A symbolic information approach to determine anticipated and delayed synchronization in neuronal circuit models
title_fullStr A symbolic information approach to determine anticipated and delayed synchronization in neuronal circuit models
title_full_unstemmed A symbolic information approach to determine anticipated and delayed synchronization in neuronal circuit models
title_sort A symbolic information approach to determine anticipated and delayed synchronization in neuronal circuit models
dc.creator.none.fl_str_mv Montani, Fernando Fabián
Rosso, Osvaldo Aníbal
Matias, Fernanda S.
Bressler, Steven L.
Mirasso, Claudio R.
author Montani, Fernando Fabián
author_facet Montani, Fernando Fabián
Rosso, Osvaldo Aníbal
Matias, Fernanda S.
Bressler, Steven L.
Mirasso, Claudio R.
author_role author
author2 Rosso, Osvaldo Aníbal
Matias, Fernanda S.
Bressler, Steven L.
Mirasso, Claudio R.
author2_role author
author
author
author
dc.subject.none.fl_str_mv Anticipated And Delayed Synchronization
Entropy
Statistical Complexity
Entropy–Complexity Causality Plane
topic Anticipated And Delayed Synchronization
Entropy
Statistical Complexity
Entropy–Complexity Causality Plane
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.3
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv The 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.
Fil: 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
Fil: Rosso, Osvaldo Aníbal. Universidade Federal de Alagoas; Brasil
Fil: Matias, Fernanda S.. Universidade Federal de Alagoas; Brasil
Fil: Bressler, Steven L.. Florida Atlantic University. Department of Psychology. Center for Complex Systems and Brain Sciences; Estados Unidos
Fil: Mirasso, Claudio R.. Universidad de las Islas Baleares; España. Consejo Superior de Investigaciones Científicas. Instituto de Física Interdisciplinar y Sistemas Complejos; España
description The 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.
publishDate 2015
dc.date.none.fl_str_mv 2015-12
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/47906
Montani, 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
1364-503X
CONICET Digital
CONICET
url http://hdl.handle.net/11336/47906
identifier_str_mv Montani, 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
1364-503X
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1098/rsta.2015.0110
info:eu-repo/semantics/altIdentifier/url/http://rsta.royalsocietypublishing.org/content/373/2056/20150110
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv The Royal Society
publisher.none.fl_str_mv The Royal Society
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 12.982451

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