Dopamine transients do not act as model-free prediction errors during associative learning

Dopamine neurons are proposed to signal the reward prediction error in model-free reinforcement learning algorithms. Here, the authors show that when given during an associative learning task, optogenetic activation of dopamine neurons causes associative, rather than value, learning.

Guardado en:

Detalles Bibliográficos
Autores principales:	Melissa J. Sharpe, Hannah M. Batchelor, Lauren E. Mueller, Chun Yun Chang, Etienne J. P. Maes, Yael Niv, Geoffrey Schoenbaum
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2020
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/5731bc14a7b249e791e8968ac5facb69
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:5731bc14a7b249e791e8968ac5facb69
record_format	dspace
spelling	oai:doaj.org-article:5731bc14a7b249e791e8968ac5facb692021-12-02T14:40:52ZDopamine transients do not act as model-free prediction errors during associative learning10.1038/s41467-019-13953-12041-1723https://doaj.org/article/5731bc14a7b249e791e8968ac5facb692020-01-01T00:00:00Zhttps://doi.org/10.1038/s41467-019-13953-1https://doaj.org/toc/2041-1723Dopamine neurons are proposed to signal the reward prediction error in model-free reinforcement learning algorithms. Here, the authors show that when given during an associative learning task, optogenetic activation of dopamine neurons causes associative, rather than value, learning.Melissa J. SharpeHannah M. BatchelorLauren E. MuellerChun Yun ChangEtienne J. P. MaesYael NivGeoffrey SchoenbaumNature PortfolioarticleScienceQENNature Communications, Vol 11, Iss 1, Pp 1-10 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Melissa J. Sharpe Hannah M. Batchelor Lauren E. Mueller Chun Yun Chang Etienne J. P. Maes Yael Niv Geoffrey Schoenbaum Dopamine transients do not act as model-free prediction errors during associative learning
description	Dopamine neurons are proposed to signal the reward prediction error in model-free reinforcement learning algorithms. Here, the authors show that when given during an associative learning task, optogenetic activation of dopamine neurons causes associative, rather than value, learning.
format	article
author	Melissa J. Sharpe Hannah M. Batchelor Lauren E. Mueller Chun Yun Chang Etienne J. P. Maes Yael Niv Geoffrey Schoenbaum
author_facet	Melissa J. Sharpe Hannah M. Batchelor Lauren E. Mueller Chun Yun Chang Etienne J. P. Maes Yael Niv Geoffrey Schoenbaum
author_sort	Melissa J. Sharpe
title	Dopamine transients do not act as model-free prediction errors during associative learning
title_short	Dopamine transients do not act as model-free prediction errors during associative learning
title_full	Dopamine transients do not act as model-free prediction errors during associative learning
title_fullStr	Dopamine transients do not act as model-free prediction errors during associative learning
title_full_unstemmed	Dopamine transients do not act as model-free prediction errors during associative learning
title_sort	dopamine transients do not act as model-free prediction errors during associative learning
publisher	Nature Portfolio
publishDate	2020
url	https://doaj.org/article/5731bc14a7b249e791e8968ac5facb69
work_keys_str_mv	AT melissajsharpe dopaminetransientsdonotactasmodelfreepredictionerrorsduringassociativelearning AT hannahmbatchelor dopaminetransientsdonotactasmodelfreepredictionerrorsduringassociativelearning AT laurenemueller dopaminetransientsdonotactasmodelfreepredictionerrorsduringassociativelearning AT chunyunchang dopaminetransientsdonotactasmodelfreepredictionerrorsduringassociativelearning AT etiennejpmaes dopaminetransientsdonotactasmodelfreepredictionerrorsduringassociativelearning AT yaelniv dopaminetransientsdonotactasmodelfreepredictionerrorsduringassociativelearning AT geoffreyschoenbaum dopaminetransientsdonotactasmodelfreepredictionerrorsduringassociativelearning
_version_	1718390112112345088

Dopamine transients do not act as model-free prediction errors during associative learning

Ejemplares similares