Spatiotemporal neural characterization of prediction error valence and surprise during reward learning in humans

Abstract Reward learning depends on accurate reward associations with potential choices. These associations can be attained with reinforcement learning mechanisms using a reward prediction error (RPE) signal (the difference between actual and expected rewards) for updating future reward expectations...

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Auteurs principaux: Elsa Fouragnan, Filippo Queirazza, Chris Retzler, Karen J. Mullinger, Marios G. Philiastides
Format: article
Langue:EN
Publié: Nature Portfolio 2017
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Accès en ligne:https://doaj.org/article/4fa880931362431c9df34eb547d1c2dd
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