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Cognitive Strategies Regulate Fictive, but not Reward Prediction Error Signals in a Sequential Investment Task

Computational models of reward processing suggest that foregone or fictive outcomes serve as important information sources for learning and augment those generated by experienced rewards (e.g. reward prediction errors). An outstanding question is how these learning signals interact with top-down cog...

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Autors principals: Gu, Xiaosi, Kirk, Ulrich, Lohrenz, Terry M, Montague, P Read
Format: Artigo
Idioma:Inglês
Publicat: BlackWell Publishing Ltd 2014
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Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC4105325/
https://ncbi.nlm.nih.gov/pubmed/24382784
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/hbm.22433
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