Agency rescues competition for credit assignment among predictive cues from adverse learning conditions

Abstract A fundamental assumption of learning theories is that the credit assigned to predictive cues is not simply determined by their probability of reinforcement, but by their ability to compete with other cues present during learning. This assumption has guided behavioral and neural science rese...

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Autores principales:	Mihwa Kang, Ingrid Reverte, Stephen Volz, Keith Kaufman, Salvatore Fevola, Anna Matarazzo, Fahd H. Alhazmi, Inmaculada Marquez, Mihaela D. Iordanova, Guillem R. Esber
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/a8f18123b31a4fc3af1beadd2186a0c6
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spelling	oai:doaj.org-article:a8f18123b31a4fc3af1beadd2186a0c62021-12-02T18:50:44ZAgency rescues competition for credit assignment among predictive cues from adverse learning conditions10.1038/s41598-021-95541-22045-2322https://doaj.org/article/a8f18123b31a4fc3af1beadd2186a0c62021-08-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-95541-2https://doaj.org/toc/2045-2322Abstract A fundamental assumption of learning theories is that the credit assigned to predictive cues is not simply determined by their probability of reinforcement, but by their ability to compete with other cues present during learning. This assumption has guided behavioral and neural science research for decades, and tremendous empirical and theoretical advances have been made identifying the mechanisms of cue competition. However, when learning conditions are not optimal (e.g., when training is massed), cue competition is attenuated. This failure of the learning system exposes the individual’s vulnerability to form spurious associations in the real world. Here, we uncover that cue competition in rats can be rescued when conditions are suboptimal provided that the individual has agency over the learning experience. Our findings reveal a new effect of agency over learning on credit assignment among predictive cues, and open new avenues of investigation into the underlying mechanisms.Mihwa KangIngrid ReverteStephen VolzKeith KaufmanSalvatore FevolaAnna MatarazzoFahd H. AlhazmiInmaculada MarquezMihaela D. IordanovaGuillem R. EsberNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-12 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Mihwa Kang Ingrid Reverte Stephen Volz Keith Kaufman Salvatore Fevola Anna Matarazzo Fahd H. Alhazmi Inmaculada Marquez Mihaela D. Iordanova Guillem R. Esber Agency rescues competition for credit assignment among predictive cues from adverse learning conditions
description	Abstract A fundamental assumption of learning theories is that the credit assigned to predictive cues is not simply determined by their probability of reinforcement, but by their ability to compete with other cues present during learning. This assumption has guided behavioral and neural science research for decades, and tremendous empirical and theoretical advances have been made identifying the mechanisms of cue competition. However, when learning conditions are not optimal (e.g., when training is massed), cue competition is attenuated. This failure of the learning system exposes the individual’s vulnerability to form spurious associations in the real world. Here, we uncover that cue competition in rats can be rescued when conditions are suboptimal provided that the individual has agency over the learning experience. Our findings reveal a new effect of agency over learning on credit assignment among predictive cues, and open new avenues of investigation into the underlying mechanisms.
format	article
author	Mihwa Kang Ingrid Reverte Stephen Volz Keith Kaufman Salvatore Fevola Anna Matarazzo Fahd H. Alhazmi Inmaculada Marquez Mihaela D. Iordanova Guillem R. Esber
author_facet	Mihwa Kang Ingrid Reverte Stephen Volz Keith Kaufman Salvatore Fevola Anna Matarazzo Fahd H. Alhazmi Inmaculada Marquez Mihaela D. Iordanova Guillem R. Esber
author_sort	Mihwa Kang
title	Agency rescues competition for credit assignment among predictive cues from adverse learning conditions
title_short	Agency rescues competition for credit assignment among predictive cues from adverse learning conditions
title_full	Agency rescues competition for credit assignment among predictive cues from adverse learning conditions
title_fullStr	Agency rescues competition for credit assignment among predictive cues from adverse learning conditions
title_full_unstemmed	Agency rescues competition for credit assignment among predictive cues from adverse learning conditions
title_sort	agency rescues competition for credit assignment among predictive cues from adverse learning conditions
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/a8f18123b31a4fc3af1beadd2186a0c6
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Agency rescues competition for credit assignment among predictive cues from adverse learning conditions

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