Confidence through consensus : a neural mechanism for uncertainty monitoring

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Models that integrate sensory evidence to a threshold can explain task accuracy, response times and confidence, yet it is still unclear how confidence is encoded in the brain. Classic models assume that confidence is encoded in some form of balance between the evidence integrated in favor and agai...

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Autores principales:	Paz, Luciano, Insabato, Andrea, Zylberberg, Ariel, Deco, Gustavo, Sigman, Mariano
Formato:	Artículo publishedVersion
Lenguaje:	Inglés
Publicado:	2018
Materias:	Neuropsicología Motivación Toma de decisiones Computacional neuroscience Conciousness Decision Neural circuits
Acceso en línea:	https://doi.org/10.1038/srep21830 https://repositorio.utdt.edu/handle/20.500.13098/11068
Aporte de:	Repositorio Digital Universidad Torcuato Di Tella de Universidad Torcuato Di Tella

id	I57-R16320.500.13098-11068
record_format	dspace
institution	Universidad Torcuato Di Tella
institution_str	I-57
repository_str	R-163
collection	Repositorio Digital Universidad Torcuato Di Tella
language	Inglés
orig_language_str_mv	eng
topic	Neuropsicología Motivación Toma de decisiones Computacional neuroscience Conciousness Decision Neural circuits
spellingShingle	Neuropsicología Motivación Toma de decisiones Computacional neuroscience Conciousness Decision Neural circuits Paz, Luciano Insabato, Andrea Zylberberg, Ariel Deco, Gustavo Sigman, Mariano Confidence through consensus : a neural mechanism for uncertainty monitoring
description	Models that integrate sensory evidence to a threshold can explain task accuracy, response times and confidence, yet it is still unclear how confidence is encoded in the brain. Classic models assume that confidence is encoded in some form of balance between the evidence integrated in favor and against the selected option. However, recent experiments that measure the sensory evidence’s influence on choice and confidence contradict these classic models. We propose that the decision is taken by many loosely coupled modules each of which represent a stochastic sample of the sensory evidence integral. Confidence is then encoded in the dispersion between modules. We show that our proposal can account for the well established relations between confidence, and stimuli discriminability and reaction times, as well as the fluctuations influence on choice and confidence.
format	Artículo publishedVersion
author	Paz, Luciano Insabato, Andrea Zylberberg, Ariel Deco, Gustavo Sigman, Mariano
author_facet	Paz, Luciano Insabato, Andrea Zylberberg, Ariel Deco, Gustavo Sigman, Mariano
author_sort	Paz, Luciano
title	Confidence through consensus : a neural mechanism for uncertainty monitoring
title_short	Confidence through consensus : a neural mechanism for uncertainty monitoring
title_full	Confidence through consensus : a neural mechanism for uncertainty monitoring
title_fullStr	Confidence through consensus : a neural mechanism for uncertainty monitoring
title_full_unstemmed	Confidence through consensus : a neural mechanism for uncertainty monitoring
title_sort	confidence through consensus : a neural mechanism for uncertainty monitoring
publishDate	2018
url	https://doi.org/10.1038/srep21830 https://repositorio.utdt.edu/handle/20.500.13098/11068
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bdutipo_str	Repositorios
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Confidence through consensus : a neural mechanism for uncertainty monitoring

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