Adaptive neurons compute confidence in a decision network

Abstract Humans and many animals have the ability to assess the confidence of their decisions. However, little is known about the underlying neural substrate and mechanism. In this study we propose a computational model consisting of a group of ’confidence neurons’ with adaptation, which are able to...

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Autores principales:	Luozheng Li, DaHui Wang
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/bbda5f1cdf314cc593d4166ec4252762
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spelling	oai:doaj.org-article:bbda5f1cdf314cc593d4166ec42527622021-11-14T12:17:18ZAdaptive neurons compute confidence in a decision network10.1038/s41598-021-01523-92045-2322https://doaj.org/article/bbda5f1cdf314cc593d4166ec42527622021-11-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-01523-9https://doaj.org/toc/2045-2322Abstract Humans and many animals have the ability to assess the confidence of their decisions. However, little is known about the underlying neural substrate and mechanism. In this study we propose a computational model consisting of a group of ’confidence neurons’ with adaptation, which are able to assess the confidence of decisions by detecting the slope of ramping activities of decision neurons. The simulated activities of ’confidence neurons’ in our simple model capture the typical features of confidence observed in humans and animals experiments. Our results indicate that confidence could be online formed along with the decision formation, and the adaptation properties could be used to monitor the formation of confidence during the decision making.Luozheng LiDaHui WangNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-10 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Luozheng Li DaHui Wang Adaptive neurons compute confidence in a decision network
description	Abstract Humans and many animals have the ability to assess the confidence of their decisions. However, little is known about the underlying neural substrate and mechanism. In this study we propose a computational model consisting of a group of ’confidence neurons’ with adaptation, which are able to assess the confidence of decisions by detecting the slope of ramping activities of decision neurons. The simulated activities of ’confidence neurons’ in our simple model capture the typical features of confidence observed in humans and animals experiments. Our results indicate that confidence could be online formed along with the decision formation, and the adaptation properties could be used to monitor the formation of confidence during the decision making.
format	article
author	Luozheng Li DaHui Wang
author_facet	Luozheng Li DaHui Wang
author_sort	Luozheng Li
title	Adaptive neurons compute confidence in a decision network
title_short	Adaptive neurons compute confidence in a decision network
title_full	Adaptive neurons compute confidence in a decision network
title_fullStr	Adaptive neurons compute confidence in a decision network
title_full_unstemmed	Adaptive neurons compute confidence in a decision network
title_sort	adaptive neurons compute confidence in a decision network
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/bbda5f1cdf314cc593d4166ec4252762
work_keys_str_mv	AT luozhengli adaptiveneuronscomputeconfidenceinadecisionnetwork AT dahuiwang adaptiveneuronscomputeconfidenceinadecisionnetwork
_version_	1718429311334088704

Adaptive neurons compute confidence in a decision network

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