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Unconscious reinforcement learning of hidden brain states supported by confidence

Can humans be trained to make strategic use of latent representations in their own brains? We investigate how human subjects can derive reward-maximizing choices from intrinsic high-dimensional information represented stochastically in neural activity. Reward contingencies are defined in real-time b...

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書目詳細資料
發表在:Nat Commun
Main Authors: Cortese, Aurelio, Lau, Hakwan, Kawato, Mitsuo
格式: Artigo
語言:Inglês
出版: Nature Publishing Group UK 2020
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在線閱讀:https://ncbi.nlm.nih.gov/pmc/articles/PMC7459278/
https://ncbi.nlm.nih.gov/pubmed/32868772
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41467-020-17828-8
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