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Dopamine transients do not act as model-free prediction errors during associative learning

Dopamine neurons are proposed to signal the reward prediction error in model-free reinforcement learning algorithms. This term represents the unpredicted or ‘excess’ value of the rewarding event, value that is then added to the intrinsic value of any antecedent cues, contexts or events. To support t...

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Bibliographic Details
Published in:Nat Commun
Main Authors: Sharpe, Melissa J., Batchelor, Hannah M., Mueller, Lauren E., Yun Chang, Chun, Maes, Etienne J. P., Niv, Yael, Schoenbaum, Geoffrey
Format: Artigo
Language:Inglês
Published: Nature Publishing Group UK 2020
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Online Access:https://ncbi.nlm.nih.gov/pmc/articles/PMC6949299/
https://ncbi.nlm.nih.gov/pubmed/31913274
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41467-019-13953-1
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