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Dopamine neurons respond to errors in the prediction of sensory features of expected rewards
Midbrain dopamine neurons have been proposed to signal prediction errors as defined in model-free reinforcement learning algorithms. While these algorithms have been extremely powerful in interpreting dopamine activity, these models do not register any error unless there is a difference between the...
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| 出版年: | Neuron |
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| 主要な著者: | , , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
2017
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5658021/ https://ncbi.nlm.nih.gov/pubmed/28910622 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.neuron.2017.08.025 |
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