Decision confidence and uncertainty in diffusion models with partially correlated neuronal integrators

Diffusion models have become essential for describing the performance and statistics of reaction times in human decision making. Despite their success, it is not known how to evaluate decision confidence from them. I introduce a broader class of models consisting of two partially correlated neuronal...

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Detalles Bibliográficos
Autor: Moreno-Bote, Rubén
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2010
País:España
Institución:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
Repositorio:Recercat. Dipósit de la Recerca de Catalunya
OAI Identifier:oai:recercat.cat:10230/71967
Acceso en línea:http://hdl.handle.net/10230/71967
http://dx.doi.org/10.1162/neco.2010.12-08-930
Access Level:acceso abierto
Palabra clave:Neurones
Decisió, Presa de
Confiança
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spelling Decision confidence and uncertainty in diffusion models with partially correlated neuronal integratorsMoreno-Bote, RubénNeuronesDecisió, Presa deConfiançaDiffusion models have become essential for describing the performance and statistics of reaction times in human decision making. Despite their success, it is not known how to evaluate decision confidence from them. I introduce a broader class of models consisting of two partially correlated neuronal integrators with arbitrarily time-varying decision boundaries that allow a natural description of confidence. The dependence of decision confidence on the state of the losing integrator, decision time, time-varying boundaries, and correlations is analytically described. The marginal confidence is computed for the half-anticorrelated case using the exact solution of the diffusion process with constant boundaries and compared to that of the independent and completely anticorrelated cases.MIT Press202520252010info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfhttp://hdl.handle.net/10230/71967http://dx.doi.org/10.1162/neco.2010.12-08-930http://hdl.handle.net/10230/71967reponame:Recercat. Dipósit de la Recerca de Catalunyainstname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)InglésNeural Computation. 2010;22(7):1786–811© 2010 Massachusetts Institute of Technologyhttps://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:recercat.cat:10230/719672026-05-29T05:05:01Z
dc.title.none.fl_str_mv Decision confidence and uncertainty in diffusion models with partially correlated neuronal integrators
title Decision confidence and uncertainty in diffusion models with partially correlated neuronal integrators
spellingShingle Decision confidence and uncertainty in diffusion models with partially correlated neuronal integrators
Moreno-Bote, Rubén
Neurones
Decisió, Presa de
Confiança
title_short Decision confidence and uncertainty in diffusion models with partially correlated neuronal integrators
title_full Decision confidence and uncertainty in diffusion models with partially correlated neuronal integrators
title_fullStr Decision confidence and uncertainty in diffusion models with partially correlated neuronal integrators
title_full_unstemmed Decision confidence and uncertainty in diffusion models with partially correlated neuronal integrators
title_sort Decision confidence and uncertainty in diffusion models with partially correlated neuronal integrators
dc.creator.none.fl_str_mv Moreno-Bote, Rubén
author Moreno-Bote, Rubén
author_facet Moreno-Bote, Rubén
author_role author
dc.subject.none.fl_str_mv Neurones
Decisió, Presa de
Confiança
topic Neurones
Decisió, Presa de
Confiança
description Diffusion models have become essential for describing the performance and statistics of reaction times in human decision making. Despite their success, it is not known how to evaluate decision confidence from them. I introduce a broader class of models consisting of two partially correlated neuronal integrators with arbitrarily time-varying decision boundaries that allow a natural description of confidence. The dependence of decision confidence on the state of the losing integrator, decision time, time-varying boundaries, and correlations is analytically described. The marginal confidence is computed for the half-anticorrelated case using the exact solution of the diffusion process with constant boundaries and compared to that of the independent and completely anticorrelated cases.
publishDate 2010
dc.date.none.fl_str_mv 2010
2025
2025
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10230/71967
http://dx.doi.org/10.1162/neco.2010.12-08-930
http://hdl.handle.net/10230/71967
url http://hdl.handle.net/10230/71967
http://dx.doi.org/10.1162/neco.2010.12-08-930
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Neural Computation. 2010;22(7):1786–811
dc.rights.none.fl_str_mv © 2010 Massachusetts Institute of Technology
https://creativecommons.org/licenses/by/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv © 2010 Massachusetts Institute of Technology
https://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv MIT Press
publisher.none.fl_str_mv MIT Press
dc.source.none.fl_str_mv reponame:Recercat. Dipósit de la Recerca de Catalunya
instname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
instname_str Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
reponame_str Recercat. Dipósit de la Recerca de Catalunya
collection Recercat. Dipósit de la Recerca de Catalunya
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