Feature-based learning improves adaptability without compromising precision

Learning about a rewarded outcome is complicated by the fact that a choice often incorporates multiple features with differing association with the reward. Here the authors demonstrate that feature-based learning is an efficient and adaptive strategy in dynamically changing environments.

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Detalles Bibliográficos
Autores principales: Shiva Farashahi, Katherine Rowe, Zohra Aslami, Daeyeol Lee, Alireza Soltani
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2017
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Acceso en línea:https://doaj.org/article/33bf02120d2042a4b592e8332463de53
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