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Reinforcement Learning Models and Their Neural Correlates: An Activation Likelihood Estimation Meta-Analysis
Reinforcement learning describes motivated behavior in terms of two abstract signals. The representation of discrepancies between expected and actual rewards/punishments – prediction error – is thought to update the expected value of actions and predictive stimuli. Electrophysiological and lesion st...
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| 發表在: | Cogn Affect Behav Neurosci |
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| Main Authors: | , , , |
| 格式: | Artigo |
| 語言: | Inglês |
| 出版: |
2015
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| 主題: | |
| 在線閱讀: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4437864/ https://ncbi.nlm.nih.gov/pubmed/25665667 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3758/s13415-015-0338-7 |
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