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- W3104118617 endingPage "130" @default.
- W3104118617 startingPage "123" @default.
- W3104118617 abstract "Dopamine neurons have been intensely studied for their roles in reinforcement learning. A dominant theory of how these neurons contribute to learning is through the encoding of a reward prediction error (RPE) signal. Recent advances in dopamine research have added nuance to RPE theory by incorporating the ideas of sensory prediction error, distributional encoding, and belief states. Further nuance is likely to be added shortly by convergent lines of research on dopamine neuron diversity. Finally, a major challenge is to reconcile RPE theory with other current theories of dopamine function to account for dopamine's role in movement, motivation, and goal-directed planning." @default.
- W3104118617 created "2020-11-23" @default.
- W3104118617 creator A5042504580 @default.
- W3104118617 creator A5051751021 @default.
- W3104118617 creator A5091850235 @default.
- W3104118617 date "2021-04-01" @default.
- W3104118617 modified "2023-10-01" @default.
- W3104118617 title "Dopamine, Updated: Reward Prediction Error and Beyond" @default.
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- W3104118617 doi "https://doi.org/10.1016/j.conb.2020.10.012" @default.
- W3104118617 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/8116345" @default.
- W3104118617 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/33197709" @default.