期刊
NATURE NEUROSCIENCE
卷 24, 期 4, 页码 465-469出版社
NATURE PORTFOLIO
DOI: 10.1038/s41593-021-00807-7
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-
资金
- National Institutes of Health (NIMH) [DP2MH113095]
This study found that rare rewards amplify dopamine responses, even when conventional prediction errors are identical, indicating a mechanism for learning the complexities of real-world incentives.
Dopamine prediction error responses are essential components of universal learning mechanisms. However, it is unknown whether individual dopamine neurons reflect the shape of reward distributions. Here, we used symmetrical distributions with differently weighted tails to investigate how the frequency of rewards and reward prediction errors influence dopamine signals. Rare rewards amplified dopamine responses, even when conventional prediction errors were identical, indicating a mechanism for learning the complexities of real-world incentives.
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