Consciousness as an emergent phenomenon: A tale of different levels of description

Autores
Guevara, Ramón; Mateos, Diego Martín; Pérez Velázquez, José Luis
Año de publicación
2020
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
One of the biggest queries in cognitive sciences is the emergence of consciousness from matter. Modern neurobiological theories of consciousness propose that conscious experience is the result of interactions between large-scale neuronal networks in the brain, traditionally described within the realm of classical physics. Here, we propose a generalized connectionist framework in which the emergence of "conscious networks" is not exclusive of large brain areas, but can be identified in subcellular networks exhibiting nontrivial quantum phenomena. The essential feature of such networks is the existence of strong correlations in the system (classical or quantum coherence) and the presence of an optimal point at which the system's complexity and energy dissipation are maximized, whereas free-energy is minimized. This is expressed either by maximization of the information content in large scale functional networks or by achieving optimal efficiency through the quantum Goldilock effect.
Fil: Guevara, Ramón. Università di Padova; Italia. Centre National de la Recherche Scientifique; Francia. Universite de Paris; Francia
Fil: Mateos, Diego Martín. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Matemática Aplicada del Litoral. Universidad Nacional del Litoral. Instituto de Matemática Aplicada del Litoral; Argentina. Universidad Autónoma de Entre Ríos; Argentina
Fil: Pérez Velázquez, José Luis. Ronin Institute; Estados Unidos
Materia
BRAIN CONNECTIVITY
BRAIN DYNAMICS
CONSCIOUSNESS
NEURAL SYNCHRONIZATION
QUANTUMBIOLOGY
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/169157
Acceder
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network_name_str CONICET Digital (CONICET)
spelling Consciousness as an emergent phenomenon: A tale of different levels of descriptionGuevara, RamónMateos, Diego MartínPérez Velázquez, José LuisBRAIN CONNECTIVITYBRAIN DYNAMICSCONSCIOUSNESSNEURAL SYNCHRONIZATIONQUANTUMBIOLOGYhttps://purl.org/becyt/ford/1.3https://purl.org/becyt/ford/1One of the biggest queries in cognitive sciences is the emergence of consciousness from matter. Modern neurobiological theories of consciousness propose that conscious experience is the result of interactions between large-scale neuronal networks in the brain, traditionally described within the realm of classical physics. Here, we propose a generalized connectionist framework in which the emergence of "conscious networks" is not exclusive of large brain areas, but can be identified in subcellular networks exhibiting nontrivial quantum phenomena. The essential feature of such networks is the existence of strong correlations in the system (classical or quantum coherence) and the presence of an optimal point at which the system's complexity and energy dissipation are maximized, whereas free-energy is minimized. This is expressed either by maximization of the information content in large scale functional networks or by achieving optimal efficiency through the quantum Goldilock effect.Fil: Guevara, Ramón. Università di Padova; Italia. Centre National de la Recherche Scientifique; Francia. Universite de Paris; FranciaFil: Mateos, Diego Martín. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Matemática Aplicada del Litoral. Universidad Nacional del Litoral. Instituto de Matemática Aplicada del Litoral; Argentina. Universidad Autónoma de Entre Ríos; ArgentinaFil: Pérez Velázquez, José Luis. Ronin Institute; Estados UnidosMultidisciplinary Digital Publishing Institute2020-09info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/169157Guevara, Ramón; Mateos, Diego Martín; Pérez Velázquez, José Luis; Consciousness as an emergent phenomenon: A tale of different levels of description; Multidisciplinary Digital Publishing Institute; Entropy; 22; 9; 9-2020; 1-221099-4300CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.3390/E22090921info:eu-repo/semantics/altIdentifier/url/https://www.mdpi.com/1099-4300/22/9/921info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-15T14:21:31Zoai:ri.conicet.gov.ar:11336/169157instacron: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:34982025-10-15 14:21:31.781CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Consciousness as an emergent phenomenon: A tale of different levels of description
title Consciousness as an emergent phenomenon: A tale of different levels of description
spellingShingle Consciousness as an emergent phenomenon: A tale of different levels of description
Guevara, Ramón
BRAIN CONNECTIVITY
BRAIN DYNAMICS
CONSCIOUSNESS
NEURAL SYNCHRONIZATION
QUANTUMBIOLOGY
title_short Consciousness as an emergent phenomenon: A tale of different levels of description
title_full Consciousness as an emergent phenomenon: A tale of different levels of description
title_fullStr Consciousness as an emergent phenomenon: A tale of different levels of description
title_full_unstemmed Consciousness as an emergent phenomenon: A tale of different levels of description
title_sort Consciousness as an emergent phenomenon: A tale of different levels of description
dc.creator.none.fl_str_mv Guevara, Ramón
Mateos, Diego Martín
Pérez Velázquez, José Luis
author Guevara, Ramón
author_facet Guevara, Ramón
Mateos, Diego Martín
Pérez Velázquez, José Luis
author_role author
author2 Mateos, Diego Martín
Pérez Velázquez, José Luis
author2_role author
author
dc.subject.none.fl_str_mv BRAIN CONNECTIVITY
BRAIN DYNAMICS
CONSCIOUSNESS
NEURAL SYNCHRONIZATION
QUANTUMBIOLOGY
topic BRAIN CONNECTIVITY
BRAIN DYNAMICS
CONSCIOUSNESS
NEURAL SYNCHRONIZATION
QUANTUMBIOLOGY
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.3
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv One of the biggest queries in cognitive sciences is the emergence of consciousness from matter. Modern neurobiological theories of consciousness propose that conscious experience is the result of interactions between large-scale neuronal networks in the brain, traditionally described within the realm of classical physics. Here, we propose a generalized connectionist framework in which the emergence of "conscious networks" is not exclusive of large brain areas, but can be identified in subcellular networks exhibiting nontrivial quantum phenomena. The essential feature of such networks is the existence of strong correlations in the system (classical or quantum coherence) and the presence of an optimal point at which the system's complexity and energy dissipation are maximized, whereas free-energy is minimized. This is expressed either by maximization of the information content in large scale functional networks or by achieving optimal efficiency through the quantum Goldilock effect.
Fil: Guevara, Ramón. Università di Padova; Italia. Centre National de la Recherche Scientifique; Francia. Universite de Paris; Francia
Fil: Mateos, Diego Martín. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Matemática Aplicada del Litoral. Universidad Nacional del Litoral. Instituto de Matemática Aplicada del Litoral; Argentina. Universidad Autónoma de Entre Ríos; Argentina
Fil: Pérez Velázquez, José Luis. Ronin Institute; Estados Unidos
description One of the biggest queries in cognitive sciences is the emergence of consciousness from matter. Modern neurobiological theories of consciousness propose that conscious experience is the result of interactions between large-scale neuronal networks in the brain, traditionally described within the realm of classical physics. Here, we propose a generalized connectionist framework in which the emergence of "conscious networks" is not exclusive of large brain areas, but can be identified in subcellular networks exhibiting nontrivial quantum phenomena. The essential feature of such networks is the existence of strong correlations in the system (classical or quantum coherence) and the presence of an optimal point at which the system's complexity and energy dissipation are maximized, whereas free-energy is minimized. This is expressed either by maximization of the information content in large scale functional networks or by achieving optimal efficiency through the quantum Goldilock effect.
publishDate 2020
dc.date.none.fl_str_mv 2020-09
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/11336/169157
Guevara, Ramón; Mateos, Diego Martín; Pérez Velázquez, José Luis; Consciousness as an emergent phenomenon: A tale of different levels of description; Multidisciplinary Digital Publishing Institute; Entropy; 22; 9; 9-2020; 1-22
1099-4300
CONICET Digital
CONICET
url http://hdl.handle.net/11336/169157
identifier_str_mv Guevara, Ramón; Mateos, Diego Martín; Pérez Velázquez, José Luis; Consciousness as an emergent phenomenon: A tale of different levels of description; Multidisciplinary Digital Publishing Institute; Entropy; 22; 9; 9-2020; 1-22
1099-4300
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.3390/E22090921
info:eu-repo/semantics/altIdentifier/url/https://www.mdpi.com/1099-4300/22/9/921
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Multidisciplinary Digital Publishing Institute
publisher.none.fl_str_mv Multidisciplinary Digital Publishing Institute
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 13.22299

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