From a single decision to a multi-step algorithm

Autores
Dehaene, Stanislas; Sigman, Mariano
Año de publicación
2012
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Humans can perform sequential and recursive computations, as when calculating 23 × 74. However, this comes at a cost: flexible computations are slow and effortful. We argue that this competence involves serial chains of successive decisions, each based on the accumulation of evidence up to a threshold and forwarding the result to the subsequent step. Such serial 'programs' require a specific neurobiological architecture, approximating the operation of a slow serial Turing machine. We review recent progress in understanding how the brain implements such multi-step decisions and briefly examine how they might be realized in models of primate cortex.
Fil: Dehaene, Stanislas. Université de Paris XI; Francia
Fil: Sigman, Mariano. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Física. Laboratorio de Neurociencia Integrativa; 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
Materia
Decision
Multi-Step Algorithm
Mental Programs
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:11336/55632
Acceder
id CONICETDig_f782215497e5fe1a1f1996dc3e448e4f
oai_identifier_str oai:ri.conicet.gov.ar:11336/55632
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling From a single decision to a multi-step algorithmDehaene, StanislasSigman, MarianoDecisionMulti-Step AlgorithmMental Programshttps://purl.org/becyt/ford/1.6https://purl.org/becyt/ford/1Humans can perform sequential and recursive computations, as when calculating 23 × 74. However, this comes at a cost: flexible computations are slow and effortful. We argue that this competence involves serial chains of successive decisions, each based on the accumulation of evidence up to a threshold and forwarding the result to the subsequent step. Such serial 'programs' require a specific neurobiological architecture, approximating the operation of a slow serial Turing machine. We review recent progress in understanding how the brain implements such multi-step decisions and briefly examine how they might be realized in models of primate cortex.Fil: Dehaene, Stanislas. Université de Paris XI; FranciaFil: Sigman, Mariano. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Física. Laboratorio de Neurociencia Integrativa; 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; ArgentinaCurrent Biology2012-05info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/55632Dehaene, Stanislas; Sigman, Mariano; From a single decision to a multi-step algorithm; Current Biology; Current Opinion In Neurobiology; 22; 6; 5-2012; 937-9450959-4388CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1016/j.conb.2012.05.006info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-10T13:23:42Zoai:ri.conicet.gov.ar:11336/55632instacron: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:34982025-09-10 13:23:43.117CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv From a single decision to a multi-step algorithm
title From a single decision to a multi-step algorithm
spellingShingle From a single decision to a multi-step algorithm
Dehaene, Stanislas
Decision
Multi-Step Algorithm
Mental Programs
title_short From a single decision to a multi-step algorithm
title_full From a single decision to a multi-step algorithm
title_fullStr From a single decision to a multi-step algorithm
title_full_unstemmed From a single decision to a multi-step algorithm
title_sort From a single decision to a multi-step algorithm
dc.creator.none.fl_str_mv Dehaene, Stanislas
Sigman, Mariano
author Dehaene, Stanislas
author_facet Dehaene, Stanislas
Sigman, Mariano
author_role author
author2 Sigman, Mariano
author2_role author
dc.subject.none.fl_str_mv Decision
Multi-Step Algorithm
Mental Programs
topic Decision
Multi-Step Algorithm
Mental Programs
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.6
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Humans can perform sequential and recursive computations, as when calculating 23 × 74. However, this comes at a cost: flexible computations are slow and effortful. We argue that this competence involves serial chains of successive decisions, each based on the accumulation of evidence up to a threshold and forwarding the result to the subsequent step. Such serial 'programs' require a specific neurobiological architecture, approximating the operation of a slow serial Turing machine. We review recent progress in understanding how the brain implements such multi-step decisions and briefly examine how they might be realized in models of primate cortex.
Fil: Dehaene, Stanislas. Université de Paris XI; Francia
Fil: Sigman, Mariano. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Física. Laboratorio de Neurociencia Integrativa; 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
description Humans can perform sequential and recursive computations, as when calculating 23 × 74. However, this comes at a cost: flexible computations are slow and effortful. We argue that this competence involves serial chains of successive decisions, each based on the accumulation of evidence up to a threshold and forwarding the result to the subsequent step. Such serial 'programs' require a specific neurobiological architecture, approximating the operation of a slow serial Turing machine. We review recent progress in understanding how the brain implements such multi-step decisions and briefly examine how they might be realized in models of primate cortex.
publishDate 2012
dc.date.none.fl_str_mv 2012-05
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/11336/55632
Dehaene, Stanislas; Sigman, Mariano; From a single decision to a multi-step algorithm; Current Biology; Current Opinion In Neurobiology; 22; 6; 5-2012; 937-945
0959-4388
CONICET Digital
CONICET
url http://hdl.handle.net/11336/55632
identifier_str_mv Dehaene, Stanislas; Sigman, Mariano; From a single decision to a multi-step algorithm; Current Biology; Current Opinion In Neurobiology; 22; 6; 5-2012; 937-945
0959-4388
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1016/j.conb.2012.05.006
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 Current Biology
publisher.none.fl_str_mv Current Biology
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
_version_ 1842981311123292160
score 12.48226

Publicaciones similares