Controlling a complex system near its critical point via temporal correlations

Autores
Chialvo, Dante R.; Cannas, Sergio A.; Grigera, Tomás Sebastián; Mártin, Daniel A.; Plenz, Dietmar
Año de publicación
2020
Idioma
español castellano
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Many complex systems exhibit large fuctuations both across space and over time. These fuctuations have often been linked to the presence of some kind of critical phenomena, where it is well known that the emerging correlation functions in space and time are closely related to each other. Here we test whether the time correlation properties allow systems exhibiting a phase transition to self-tune to their critical point. We describe results in three models: the 2D Ising ferromagnetic model, the 3D Vicsek focking model and a small-world neuronal network model. We demonstrate that feedback from the autocorrelation function of the order parameter fuctuations shifts the system towards its critical point. Our results rely on universal properties of critical systems and are expected to be relevant to a variety of other settings.
Instituto de Física de Líquidos y Sistemas Biológicos
Materia
Ciencias Exactas
Fuctuations
Neuronal network model
Autocorrelation function
Complex system
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by/4.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/107896
Acceder
id SEDICI_d94a660b79e73317161f0e7f3b56b98e
oai_identifier_str oai:sedici.unlp.edu.ar:10915/107896
network_acronym_str SEDICI
repository_id_str 1329
network_name_str SEDICI (UNLP)
spelling Controlling a complex system near its critical point via temporal correlationsChialvo, Dante R.Cannas, Sergio A.Grigera, Tomás SebastiánMártin, Daniel A.Plenz, DietmarCiencias ExactasFuctuationsNeuronal network modelAutocorrelation functionComplex systemMany complex systems exhibit large fuctuations both across space and over time. These fuctuations have often been linked to the presence of some kind of critical phenomena, where it is well known that the emerging correlation functions in space and time are closely related to each other. Here we test whether the time correlation properties allow systems exhibiting a phase transition to self-tune to their critical point. We describe results in three models: the 2D Ising ferromagnetic model, the 3D Vicsek focking model and a small-world neuronal network model. We demonstrate that feedback from the autocorrelation function of the order parameter fuctuations shifts the system towards its critical point. Our results rely on universal properties of critical systems and are expected to be relevant to a variety of other settings.Instituto de Física de Líquidos y Sistemas Biológicos2020info: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/10915/107896spainfo:eu-repo/semantics/altIdentifier/url/http://europepmc.org/backend/ptpmcrender.fcgi?accid=PMC7376152&blobtype=pdfinfo:eu-repo/semantics/altIdentifier/issn/2045-2322info:eu-repo/semantics/altIdentifier/pmid/32699316info:eu-repo/semantics/altIdentifier/doi/10.1038/s41598-020-69154-0info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by/4.0/Creative Commons Attribution 4.0 International (CC BY 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-10-15T11:15:46Zoai:sedici.unlp.edu.ar:10915/107896Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-10-15 11:15:46.755SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Controlling a complex system near its critical point via temporal correlations
title Controlling a complex system near its critical point via temporal correlations
spellingShingle Controlling a complex system near its critical point via temporal correlations
Chialvo, Dante R.
Ciencias Exactas
Fuctuations
Neuronal network model
Autocorrelation function
Complex system
title_short Controlling a complex system near its critical point via temporal correlations
title_full Controlling a complex system near its critical point via temporal correlations
title_fullStr Controlling a complex system near its critical point via temporal correlations
title_full_unstemmed Controlling a complex system near its critical point via temporal correlations
title_sort Controlling a complex system near its critical point via temporal correlations
dc.creator.none.fl_str_mv Chialvo, Dante R.
Cannas, Sergio A.
Grigera, Tomás Sebastián
Mártin, Daniel A.
Plenz, Dietmar
author Chialvo, Dante R.
author_facet Chialvo, Dante R.
Cannas, Sergio A.
Grigera, Tomás Sebastián
Mártin, Daniel A.
Plenz, Dietmar
author_role author
author2 Cannas, Sergio A.
Grigera, Tomás Sebastián
Mártin, Daniel A.
Plenz, Dietmar
author2_role author
author
author
author
dc.subject.none.fl_str_mv Ciencias Exactas
Fuctuations
Neuronal network model
Autocorrelation function
Complex system
topic Ciencias Exactas
Fuctuations
Neuronal network model
Autocorrelation function
Complex system
dc.description.none.fl_txt_mv Many complex systems exhibit large fuctuations both across space and over time. These fuctuations have often been linked to the presence of some kind of critical phenomena, where it is well known that the emerging correlation functions in space and time are closely related to each other. Here we test whether the time correlation properties allow systems exhibiting a phase transition to self-tune to their critical point. We describe results in three models: the 2D Ising ferromagnetic model, the 3D Vicsek focking model and a small-world neuronal network model. We demonstrate that feedback from the autocorrelation function of the order parameter fuctuations shifts the system towards its critical point. Our results rely on universal properties of critical systems and are expected to be relevant to a variety of other settings.
Instituto de Física de Líquidos y Sistemas Biológicos
description Many complex systems exhibit large fuctuations both across space and over time. These fuctuations have often been linked to the presence of some kind of critical phenomena, where it is well known that the emerging correlation functions in space and time are closely related to each other. Here we test whether the time correlation properties allow systems exhibiting a phase transition to self-tune to their critical point. We describe results in three models: the 2D Ising ferromagnetic model, the 3D Vicsek focking model and a small-world neuronal network model. We demonstrate that feedback from the autocorrelation function of the order parameter fuctuations shifts the system towards its critical point. Our results rely on universal properties of critical systems and are expected to be relevant to a variety of other settings.
publishDate 2020
dc.date.none.fl_str_mv 2020
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/10915/107896
url http://sedici.unlp.edu.ar/handle/10915/107896
dc.language.none.fl_str_mv spa
language spa
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://europepmc.org/backend/ptpmcrender.fcgi?accid=PMC7376152&blobtype=pdf
info:eu-repo/semantics/altIdentifier/issn/2045-2322
info:eu-repo/semantics/altIdentifier/pmid/32699316
info:eu-repo/semantics/altIdentifier/doi/10.1038/s41598-020-69154-0
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by/4.0/
Creative Commons Attribution 4.0 International (CC BY 4.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by/4.0/
Creative Commons Attribution 4.0 International (CC BY 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_ 1846064215536697344
score 13.22299

Publicaciones similares