Confidence as Bayesian Probability: From Neural Origins to Behavior
- Autores
- Meyniel, Florent; Sigman, Mariano; Mainen, Zachary F.
- Año de publicación
- 2015
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- Research on confidence spreads across several sub-fields of psychology and neuroscience. Here, we explore how a definition of confidence as Bayesian probability can unify these viewpoints. This computational view entails that there are distinct forms in which confidence is represented and used in the brain, including distributional confidence, pertaining to neural representations of probability distributions, and summary confidence, pertaining to scalar summaries of those distributions. Summary confidence is, normatively, derived or “read out” from distributional confidence. Neural implementations of readout will trade off optimality versus flexibility of routing across brain systems, allowing confidence to serve diverse cognitive functions.
Fil: Meyniel, Florent. Inserm; Francia
Fil: Sigman, Mariano. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Física; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Física de Buenos Aires. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Física de Buenos Aires; Argentina
Fil: Mainen, Zachary F.. Champalimaud Centre for the Unknown; Portugal - Materia
- Bayesian Probability
- Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
- Repositorio
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/44539
Ver los metadatos del registro completo
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Confidence as Bayesian Probability: From Neural Origins to BehaviorMeyniel, FlorentSigman, MarianoMainen, Zachary F.Bayesian Probabilityhttps://purl.org/becyt/ford/3.1https://purl.org/becyt/ford/3Research on confidence spreads across several sub-fields of psychology and neuroscience. Here, we explore how a definition of confidence as Bayesian probability can unify these viewpoints. This computational view entails that there are distinct forms in which confidence is represented and used in the brain, including distributional confidence, pertaining to neural representations of probability distributions, and summary confidence, pertaining to scalar summaries of those distributions. Summary confidence is, normatively, derived or “read out” from distributional confidence. Neural implementations of readout will trade off optimality versus flexibility of routing across brain systems, allowing confidence to serve diverse cognitive functions.Fil: Meyniel, Florent. Inserm; FranciaFil: Sigman, Mariano. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Física; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Física de Buenos Aires. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Física de Buenos Aires; ArgentinaFil: Mainen, Zachary F.. Champalimaud Centre for the Unknown; PortugalCell Press2015-10info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/44539Meyniel, Florent; Sigman, Mariano; Mainen, Zachary F.; Confidence as Bayesian Probability: From Neural Origins to Behavior; Cell Press; Neuron; 88; 1; 10-2015; 78-920896-6273CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S0896627315008284info:eu-repo/semantics/altIdentifier/doi/10.1016/j.neuron.2015.09.039info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:28:28Zoai:ri.conicet.gov.ar:11336/44539instacron: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 10:28:28.656CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
Confidence as Bayesian Probability: From Neural Origins to Behavior |
title |
Confidence as Bayesian Probability: From Neural Origins to Behavior |
spellingShingle |
Confidence as Bayesian Probability: From Neural Origins to Behavior Meyniel, Florent Bayesian Probability |
title_short |
Confidence as Bayesian Probability: From Neural Origins to Behavior |
title_full |
Confidence as Bayesian Probability: From Neural Origins to Behavior |
title_fullStr |
Confidence as Bayesian Probability: From Neural Origins to Behavior |
title_full_unstemmed |
Confidence as Bayesian Probability: From Neural Origins to Behavior |
title_sort |
Confidence as Bayesian Probability: From Neural Origins to Behavior |
dc.creator.none.fl_str_mv |
Meyniel, Florent Sigman, Mariano Mainen, Zachary F. |
author |
Meyniel, Florent |
author_facet |
Meyniel, Florent Sigman, Mariano Mainen, Zachary F. |
author_role |
author |
author2 |
Sigman, Mariano Mainen, Zachary F. |
author2_role |
author author |
dc.subject.none.fl_str_mv |
Bayesian Probability |
topic |
Bayesian Probability |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/3.1 https://purl.org/becyt/ford/3 |
dc.description.none.fl_txt_mv |
Research on confidence spreads across several sub-fields of psychology and neuroscience. Here, we explore how a definition of confidence as Bayesian probability can unify these viewpoints. This computational view entails that there are distinct forms in which confidence is represented and used in the brain, including distributional confidence, pertaining to neural representations of probability distributions, and summary confidence, pertaining to scalar summaries of those distributions. Summary confidence is, normatively, derived or “read out” from distributional confidence. Neural implementations of readout will trade off optimality versus flexibility of routing across brain systems, allowing confidence to serve diverse cognitive functions. Fil: Meyniel, Florent. Inserm; Francia Fil: Sigman, Mariano. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Física; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Física de Buenos Aires. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Física de Buenos Aires; Argentina Fil: Mainen, Zachary F.. Champalimaud Centre for the Unknown; Portugal |
description |
Research on confidence spreads across several sub-fields of psychology and neuroscience. Here, we explore how a definition of confidence as Bayesian probability can unify these viewpoints. This computational view entails that there are distinct forms in which confidence is represented and used in the brain, including distributional confidence, pertaining to neural representations of probability distributions, and summary confidence, pertaining to scalar summaries of those distributions. Summary confidence is, normatively, derived or “read out” from distributional confidence. Neural implementations of readout will trade off optimality versus flexibility of routing across brain systems, allowing confidence to serve diverse cognitive functions. |
publishDate |
2015 |
dc.date.none.fl_str_mv |
2015-10 |
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/11336/44539 Meyniel, Florent; Sigman, Mariano; Mainen, Zachary F.; Confidence as Bayesian Probability: From Neural Origins to Behavior; Cell Press; Neuron; 88; 1; 10-2015; 78-92 0896-6273 CONICET Digital CONICET |
url |
http://hdl.handle.net/11336/44539 |
identifier_str_mv |
Meyniel, Florent; Sigman, Mariano; Mainen, Zachary F.; Confidence as Bayesian Probability: From Neural Origins to Behavior; Cell Press; Neuron; 88; 1; 10-2015; 78-92 0896-6273 CONICET Digital CONICET |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S0896627315008284 info:eu-repo/semantics/altIdentifier/doi/10.1016/j.neuron.2015.09.039 |
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 |
Cell Press |
publisher.none.fl_str_mv |
Cell Press |
dc.source.none.fl_str_mv |
reponame:CONICET Digital (CONICET) instname:Consejo Nacional de Investigaciones Científicas y Técnicas |
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CONICET Digital (CONICET) |
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CONICET Digital (CONICET) |
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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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13.070432 |