Deviation from the matching law reflects an optimal strategy involving learning over multiple timescales

Recent experience can only provide limited information to guide decisions in a volatile environment. Here, the authors report that the choices made by a monkey in a dynamic foraging task can be better explained by a model that combines learning on both fast and slow timescales.

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Autores principales:	Kiyohito Iigaya, Yashar Ahmadian, Leo P. Sugrue, Greg S. Corrado, Yonatan Loewenstein, William T. Newsome, Stefano Fusi
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2019
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/a688406c53864b749f691bf87f05f1cc
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spelling	oai:doaj.org-article:a688406c53864b749f691bf87f05f1cc2021-12-02T14:39:37ZDeviation from the matching law reflects an optimal strategy involving learning over multiple timescales10.1038/s41467-019-09388-32041-1723https://doaj.org/article/a688406c53864b749f691bf87f05f1cc2019-04-01T00:00:00Zhttps://doi.org/10.1038/s41467-019-09388-3https://doaj.org/toc/2041-1723Recent experience can only provide limited information to guide decisions in a volatile environment. Here, the authors report that the choices made by a monkey in a dynamic foraging task can be better explained by a model that combines learning on both fast and slow timescales.Kiyohito IigayaYashar AhmadianLeo P. SugrueGreg S. CorradoYonatan LoewensteinWilliam T. NewsomeStefano FusiNature PortfolioarticleScienceQENNature Communications, Vol 10, Iss 1, Pp 1-14 (2019)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Kiyohito Iigaya Yashar Ahmadian Leo P. Sugrue Greg S. Corrado Yonatan Loewenstein William T. Newsome Stefano Fusi Deviation from the matching law reflects an optimal strategy involving learning over multiple timescales
description	Recent experience can only provide limited information to guide decisions in a volatile environment. Here, the authors report that the choices made by a monkey in a dynamic foraging task can be better explained by a model that combines learning on both fast and slow timescales.
format	article
author	Kiyohito Iigaya Yashar Ahmadian Leo P. Sugrue Greg S. Corrado Yonatan Loewenstein William T. Newsome Stefano Fusi
author_facet	Kiyohito Iigaya Yashar Ahmadian Leo P. Sugrue Greg S. Corrado Yonatan Loewenstein William T. Newsome Stefano Fusi
author_sort	Kiyohito Iigaya
title	Deviation from the matching law reflects an optimal strategy involving learning over multiple timescales
title_short	Deviation from the matching law reflects an optimal strategy involving learning over multiple timescales
title_full	Deviation from the matching law reflects an optimal strategy involving learning over multiple timescales
title_fullStr	Deviation from the matching law reflects an optimal strategy involving learning over multiple timescales
title_full_unstemmed	Deviation from the matching law reflects an optimal strategy involving learning over multiple timescales
title_sort	deviation from the matching law reflects an optimal strategy involving learning over multiple timescales
publisher	Nature Portfolio
publishDate	2019
url	https://doaj.org/article/a688406c53864b749f691bf87f05f1cc
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Deviation from the matching law reflects an optimal strategy involving learning over multiple timescales

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