Scale-Free Dynamics in Animal Groups and Brain Networks

Autores
Ribeiro, Tiago L.; Chialvo, Dante Renato; Plenz, Dietmar
Año de publicación
2021
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Collective phenomena fascinate by the emergence of order in systems composed of a myriad of small entities. They are ubiquitous in nature and can be found over a vast range of scales in physical and biological systems. Their key feature is the seemingly effortless emergence of adaptive collective behavior that cannot be trivially explained by the properties of the system´s individual components. This perspective focuses on recent insights into the similarities of correlations for two apparently disparate phenomena: flocking in animal groups and neuronal ensemble activity in the brain. We first will summarize findings on the spontaneous organization in bird flocks and macro-scale human brain activity utilizing correlation functions and insights from critical dynamics. We then will discuss recent experimental findings that apply these approaches to the collective response of neurons to visual and motor processing, i.e., to local perturbations of neuronal networks at the meso- and microscale. We show how scale-free correlation functions capture the collective organization of neuronal avalanches in evoked neuronal populations in nonhuman primates and between neurons during visual processing in rodents. These experimental findings suggest that the coherent collective neural activity observed at scales much larger than the length of the direct neuronal interactions is demonstrative of a phase transition and we discuss the experimental support for either discontinuous or continuous phase transitions. We conclude that at or near a phase-transition neuronal information can propagate in the brain with similar efficiency as proposed to occur in the collective adaptive response observed in some animal groups.
Fil: Ribeiro, Tiago L.. National Institute Of Mental Health; Estados Unidos
Fil: Chialvo, Dante Renato. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Ciencias Físicas. - Universidad Nacional de San Martín. Instituto de Ciencias Físicas; Argentina. Center for Complex Systems & Brain Sciences; Argentina
Fil: Plenz, Dietmar. National Institute Of Mental Health; Estados Unidos
Materia
BRAIN DYNAMICS
CORRELATIONS
CRITICALITY
FLOCKING
MUTUAL INFORMATION
NEURONAL NETWORK
SCALE-FREE
SYNCHRONIZATION
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:11336/154521

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spelling Scale-Free Dynamics in Animal Groups and Brain NetworksRibeiro, Tiago L.Chialvo, Dante RenatoPlenz, DietmarBRAIN DYNAMICSCORRELATIONSCRITICALITYFLOCKINGMUTUAL INFORMATIONNEURONAL NETWORKSCALE-FREESYNCHRONIZATIONhttps://purl.org/becyt/ford/1.3https://purl.org/becyt/ford/1Collective phenomena fascinate by the emergence of order in systems composed of a myriad of small entities. They are ubiquitous in nature and can be found over a vast range of scales in physical and biological systems. Their key feature is the seemingly effortless emergence of adaptive collective behavior that cannot be trivially explained by the properties of the system´s individual components. This perspective focuses on recent insights into the similarities of correlations for two apparently disparate phenomena: flocking in animal groups and neuronal ensemble activity in the brain. We first will summarize findings on the spontaneous organization in bird flocks and macro-scale human brain activity utilizing correlation functions and insights from critical dynamics. We then will discuss recent experimental findings that apply these approaches to the collective response of neurons to visual and motor processing, i.e., to local perturbations of neuronal networks at the meso- and microscale. We show how scale-free correlation functions capture the collective organization of neuronal avalanches in evoked neuronal populations in nonhuman primates and between neurons during visual processing in rodents. These experimental findings suggest that the coherent collective neural activity observed at scales much larger than the length of the direct neuronal interactions is demonstrative of a phase transition and we discuss the experimental support for either discontinuous or continuous phase transitions. We conclude that at or near a phase-transition neuronal information can propagate in the brain with similar efficiency as proposed to occur in the collective adaptive response observed in some animal groups.Fil: Ribeiro, Tiago L.. National Institute Of Mental Health; Estados UnidosFil: Chialvo, Dante Renato. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Ciencias Físicas. - Universidad Nacional de San Martín. Instituto de Ciencias Físicas; Argentina. Center for Complex Systems & Brain Sciences; ArgentinaFil: Plenz, Dietmar. National Institute Of Mental Health; Estados UnidosFrontiers Media2021-01-20info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/154521Ribeiro, Tiago L.; Chialvo, Dante Renato; Plenz, Dietmar; Scale-Free Dynamics in Animal Groups and Brain Networks; Frontiers Media; Frontiers in Systems Neuroscience; 14; 591210; 20-1-2021; 1-101662-5137CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.3389/fnsys.2020.591210info:eu-repo/semantics/altIdentifier/url/https://www.frontiersin.org/articles/10.3389/fnsys.2020.591210/fullinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:36:38Zoai:ri.conicet.gov.ar:11336/154521instacron: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:34982025-09-29 09:36:38.551CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Scale-Free Dynamics in Animal Groups and Brain Networks
title Scale-Free Dynamics in Animal Groups and Brain Networks
spellingShingle Scale-Free Dynamics in Animal Groups and Brain Networks
Ribeiro, Tiago L.
BRAIN DYNAMICS
CORRELATIONS
CRITICALITY
FLOCKING
MUTUAL INFORMATION
NEURONAL NETWORK
SCALE-FREE
SYNCHRONIZATION
title_short Scale-Free Dynamics in Animal Groups and Brain Networks
title_full Scale-Free Dynamics in Animal Groups and Brain Networks
title_fullStr Scale-Free Dynamics in Animal Groups and Brain Networks
title_full_unstemmed Scale-Free Dynamics in Animal Groups and Brain Networks
title_sort Scale-Free Dynamics in Animal Groups and Brain Networks
dc.creator.none.fl_str_mv Ribeiro, Tiago L.
Chialvo, Dante Renato
Plenz, Dietmar
author Ribeiro, Tiago L.
author_facet Ribeiro, Tiago L.
Chialvo, Dante Renato
Plenz, Dietmar
author_role author
author2 Chialvo, Dante Renato
Plenz, Dietmar
author2_role author
author
dc.subject.none.fl_str_mv BRAIN DYNAMICS
CORRELATIONS
CRITICALITY
FLOCKING
MUTUAL INFORMATION
NEURONAL NETWORK
SCALE-FREE
SYNCHRONIZATION
topic BRAIN DYNAMICS
CORRELATIONS
CRITICALITY
FLOCKING
MUTUAL INFORMATION
NEURONAL NETWORK
SCALE-FREE
SYNCHRONIZATION
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.3
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Collective phenomena fascinate by the emergence of order in systems composed of a myriad of small entities. They are ubiquitous in nature and can be found over a vast range of scales in physical and biological systems. Their key feature is the seemingly effortless emergence of adaptive collective behavior that cannot be trivially explained by the properties of the system´s individual components. This perspective focuses on recent insights into the similarities of correlations for two apparently disparate phenomena: flocking in animal groups and neuronal ensemble activity in the brain. We first will summarize findings on the spontaneous organization in bird flocks and macro-scale human brain activity utilizing correlation functions and insights from critical dynamics. We then will discuss recent experimental findings that apply these approaches to the collective response of neurons to visual and motor processing, i.e., to local perturbations of neuronal networks at the meso- and microscale. We show how scale-free correlation functions capture the collective organization of neuronal avalanches in evoked neuronal populations in nonhuman primates and between neurons during visual processing in rodents. These experimental findings suggest that the coherent collective neural activity observed at scales much larger than the length of the direct neuronal interactions is demonstrative of a phase transition and we discuss the experimental support for either discontinuous or continuous phase transitions. We conclude that at or near a phase-transition neuronal information can propagate in the brain with similar efficiency as proposed to occur in the collective adaptive response observed in some animal groups.
Fil: Ribeiro, Tiago L.. National Institute Of Mental Health; Estados Unidos
Fil: Chialvo, Dante Renato. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Ciencias Físicas. - Universidad Nacional de San Martín. Instituto de Ciencias Físicas; Argentina. Center for Complex Systems & Brain Sciences; Argentina
Fil: Plenz, Dietmar. National Institute Of Mental Health; Estados Unidos
description Collective phenomena fascinate by the emergence of order in systems composed of a myriad of small entities. They are ubiquitous in nature and can be found over a vast range of scales in physical and biological systems. Their key feature is the seemingly effortless emergence of adaptive collective behavior that cannot be trivially explained by the properties of the system´s individual components. This perspective focuses on recent insights into the similarities of correlations for two apparently disparate phenomena: flocking in animal groups and neuronal ensemble activity in the brain. We first will summarize findings on the spontaneous organization in bird flocks and macro-scale human brain activity utilizing correlation functions and insights from critical dynamics. We then will discuss recent experimental findings that apply these approaches to the collective response of neurons to visual and motor processing, i.e., to local perturbations of neuronal networks at the meso- and microscale. We show how scale-free correlation functions capture the collective organization of neuronal avalanches in evoked neuronal populations in nonhuman primates and between neurons during visual processing in rodents. These experimental findings suggest that the coherent collective neural activity observed at scales much larger than the length of the direct neuronal interactions is demonstrative of a phase transition and we discuss the experimental support for either discontinuous or continuous phase transitions. We conclude that at or near a phase-transition neuronal information can propagate in the brain with similar efficiency as proposed to occur in the collective adaptive response observed in some animal groups.
publishDate 2021
dc.date.none.fl_str_mv 2021-01-20
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/11336/154521
Ribeiro, Tiago L.; Chialvo, Dante Renato; Plenz, Dietmar; Scale-Free Dynamics in Animal Groups and Brain Networks; Frontiers Media; Frontiers in Systems Neuroscience; 14; 591210; 20-1-2021; 1-10
1662-5137
CONICET Digital
CONICET
url http://hdl.handle.net/11336/154521
identifier_str_mv Ribeiro, Tiago L.; Chialvo, Dante Renato; Plenz, Dietmar; Scale-Free Dynamics in Animal Groups and Brain Networks; Frontiers Media; Frontiers in Systems Neuroscience; 14; 591210; 20-1-2021; 1-10
1662-5137
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.3389/fnsys.2020.591210
info:eu-repo/semantics/altIdentifier/url/https://www.frontiersin.org/articles/10.3389/fnsys.2020.591210/full
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https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
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dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Frontiers Media
publisher.none.fl_str_mv Frontiers Media
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
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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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