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 Rubén
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 symbolic information-theory approach for discriminating the time delay displayed between two areas of the brain when they exchange information.
Instituto de Física de Líquidos y Sistemas Biológicos
Materia
Física
Anticipated and delayed synchronization
Entropy
Entropy complexity causality plane
Statistical complexity
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/86163

id SEDICI_ce48f8441c3532b74f7efa9435d72ac3
oai_identifier_str oai:sedici.unlp.edu.ar:10915/86163
network_acronym_str SEDICI
repository_id_str 1329
network_name_str SEDICI (UNLP)
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 RubénFísicaAnticipated and delayed synchronizationEntropyEntropy complexity causality planeStatistical complexityThe 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 symbolic information-theory approach for discriminating the time delay displayed between two areas of the brain when they exchange information.Instituto de Física de Líquidos y Sistemas Biológicos2015info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionArticulohttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttp://sedici.unlp.edu.ar/handle/10915/86163enginfo:eu-repo/semantics/altIdentifier/issn/1364-503Xinfo:eu-repo/semantics/altIdentifier/doi/10.1098/rsta.2015.0110info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-29T11:16:50Zoai:sedici.unlp.edu.ar:10915/86163Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-29 11:16:50.675SEDICI (UNLP) - Universidad Nacional de La Platafalse
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
Física
Anticipated and delayed synchronization
Entropy
Entropy complexity causality plane
Statistical complexity
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 Rubén
author Montani, Fernando Fabián
author_facet Montani, Fernando Fabián
Rosso, Osvaldo Aníbal
Matias, Fernanda S.
Bressler, Steven L.
Mirasso, Claudio Rubén
author_role author
author2 Rosso, Osvaldo Aníbal
Matias, Fernanda S.
Bressler, Steven L.
Mirasso, Claudio Rubén
author2_role author
author
author
author
dc.subject.none.fl_str_mv Física
Anticipated and delayed synchronization
Entropy
Entropy complexity causality plane
Statistical complexity
topic Física
Anticipated and delayed synchronization
Entropy
Entropy complexity causality plane
Statistical complexity
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 symbolic information-theory approach for discriminating the time delay displayed between two areas of the brain when they exchange information.
Instituto de Física de Líquidos y Sistemas Biológicos
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 symbolic information-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
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Articulo
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://sedici.unlp.edu.ar/handle/10915/86163
url http://sedici.unlp.edu.ar/handle/10915/86163
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/issn/1364-503X
info:eu-repo/semantics/altIdentifier/doi/10.1098/rsta.2015.0110
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:SEDICI (UNLP)
instname:Universidad Nacional de La Plata
instacron:UNLP
reponame_str SEDICI (UNLP)
collection SEDICI (UNLP)
instname_str Universidad Nacional de La Plata
instacron_str UNLP
institution UNLP
repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
repository.mail.fl_str_mv alira@sedici.unlp.edu.ar
_version_ 1844616041371533312
score 13.070432