Entropy-based metrics for predicting choice behavior based on local response to reward

Animals distribute their choices between alternative options according to relative reinforcement they receive from those options (matching law). Here, the authors propose metrics based on information theory that can predict this global behavioral rule based on local response to reward feedback.

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Autores principales:	Ethan Trepka, Mehran Spitmaan, Bilal A. Bari, Vincent D. Costa, Jeremiah Y. Cohen, Alireza Soltani
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/51544af4ad5344eab6ddd389142bf066
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spelling	oai:doaj.org-article:51544af4ad5344eab6ddd389142bf0662021-11-14T12:36:19ZEntropy-based metrics for predicting choice behavior based on local response to reward10.1038/s41467-021-26784-w2041-1723https://doaj.org/article/51544af4ad5344eab6ddd389142bf0662021-11-01T00:00:00Zhttps://doi.org/10.1038/s41467-021-26784-whttps://doaj.org/toc/2041-1723Animals distribute their choices between alternative options according to relative reinforcement they receive from those options (matching law). Here, the authors propose metrics based on information theory that can predict this global behavioral rule based on local response to reward feedback.Ethan TrepkaMehran SpitmaanBilal A. BariVincent D. CostaJeremiah Y. CohenAlireza SoltaniNature PortfolioarticleScienceQENNature Communications, Vol 12, Iss 1, Pp 1-16 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Ethan Trepka Mehran Spitmaan Bilal A. Bari Vincent D. Costa Jeremiah Y. Cohen Alireza Soltani Entropy-based metrics for predicting choice behavior based on local response to reward
description	Animals distribute their choices between alternative options according to relative reinforcement they receive from those options (matching law). Here, the authors propose metrics based on information theory that can predict this global behavioral rule based on local response to reward feedback.
format	article
author	Ethan Trepka Mehran Spitmaan Bilal A. Bari Vincent D. Costa Jeremiah Y. Cohen Alireza Soltani
author_facet	Ethan Trepka Mehran Spitmaan Bilal A. Bari Vincent D. Costa Jeremiah Y. Cohen Alireza Soltani
author_sort	Ethan Trepka
title	Entropy-based metrics for predicting choice behavior based on local response to reward
title_short	Entropy-based metrics for predicting choice behavior based on local response to reward
title_full	Entropy-based metrics for predicting choice behavior based on local response to reward
title_fullStr	Entropy-based metrics for predicting choice behavior based on local response to reward
title_full_unstemmed	Entropy-based metrics for predicting choice behavior based on local response to reward
title_sort	entropy-based metrics for predicting choice behavior based on local response to reward
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/51544af4ad5344eab6ddd389142bf066
work_keys_str_mv	AT ethantrepka entropybasedmetricsforpredictingchoicebehaviorbasedonlocalresponsetoreward AT mehranspitmaan entropybasedmetricsforpredictingchoicebehaviorbasedonlocalresponsetoreward AT bilalabari entropybasedmetricsforpredictingchoicebehaviorbasedonlocalresponsetoreward AT vincentdcosta entropybasedmetricsforpredictingchoicebehaviorbasedonlocalresponsetoreward AT jeremiahycohen entropybasedmetricsforpredictingchoicebehaviorbasedonlocalresponsetoreward AT alirezasoltani entropybasedmetricsforpredictingchoicebehaviorbasedonlocalresponsetoreward
_version_	1718429104870522880

Entropy-based metrics for predicting choice behavior based on local response to reward

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