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Neural Basis of Reinforcement Learning and Decision Making
Reinforcement learning is an adaptive process in which an animal utilizes its previous experience to improve the outcomes of future choices. Computational theories of reinforcement learning play a central role in the newly emerging areas of neuroeconomics and decision neuroscience. In this framework...
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| Główni autorzy: | , , |
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| Format: | Artigo |
| Język: | Inglês |
| Wydane: |
2012
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| Hasła przedmiotowe: | |
| Dostęp online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3490621/ https://ncbi.nlm.nih.gov/pubmed/22462543 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1146/annurev-neuro-062111-150512 |
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