A model for learning based on the joint estimation of stochasticity and volatility

Human learning depends on opposing effects of two noise factors: volatility and stochasticity. Here the authors present a model of learning that shows how and why joint estimation of these factors is important for understanding healthy and pathological learning.

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Detalles Bibliográficos
Autores principales:	Payam Piray, Nathaniel D. Daw
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/4a987b3911a248f9a53498078ccdd125
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spelling	oai:doaj.org-article:4a987b3911a248f9a53498078ccdd1252021-11-21T12:35:37ZA model for learning based on the joint estimation of stochasticity and volatility10.1038/s41467-021-26731-92041-1723https://doaj.org/article/4a987b3911a248f9a53498078ccdd1252021-11-01T00:00:00Zhttps://doi.org/10.1038/s41467-021-26731-9https://doaj.org/toc/2041-1723Human learning depends on opposing effects of two noise factors: volatility and stochasticity. Here the authors present a model of learning that shows how and why joint estimation of these factors is important for understanding healthy and pathological learning.Payam PirayNathaniel D. DawNature PortfolioarticleScienceQENNature Communications, Vol 12, Iss 1, Pp 1-16 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Payam Piray Nathaniel D. Daw A model for learning based on the joint estimation of stochasticity and volatility
description	Human learning depends on opposing effects of two noise factors: volatility and stochasticity. Here the authors present a model of learning that shows how and why joint estimation of these factors is important for understanding healthy and pathological learning.
format	article
author	Payam Piray Nathaniel D. Daw
author_facet	Payam Piray Nathaniel D. Daw
author_sort	Payam Piray
title	A model for learning based on the joint estimation of stochasticity and volatility
title_short	A model for learning based on the joint estimation of stochasticity and volatility
title_full	A model for learning based on the joint estimation of stochasticity and volatility
title_fullStr	A model for learning based on the joint estimation of stochasticity and volatility
title_full_unstemmed	A model for learning based on the joint estimation of stochasticity and volatility
title_sort	model for learning based on the joint estimation of stochasticity and volatility
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/4a987b3911a248f9a53498078ccdd125
work_keys_str_mv	AT payampiray amodelforlearningbasedonthejointestimationofstochasticityandvolatility AT nathanielddaw amodelforlearningbasedonthejointestimationofstochasticityandvolatility AT payampiray modelforlearningbasedonthejointestimationofstochasticityandvolatility AT nathanielddaw modelforlearningbasedonthejointestimationofstochasticityandvolatility
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A model for learning based on the joint estimation of stochasticity and volatility

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