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Reinforcement Learning Signals in the Human Striatum Distinguish Learners from Nonlearners during Reward-Based Decision Making
The computational framework of reinforcement learning has been used to forward our understanding of the neural mechanisms underlying reward learning and decision-making behavior. It is known that humans vary widely in their performance in decision-making tasks. Here, we used a simple four-armed band...
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| Gepubliceerd in: | J Neurosci |
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| Hoofdauteurs: | , , , |
| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
Society for Neuroscience
2007
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| Onderwerpen: | |
| Online toegang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6673291/ https://ncbi.nlm.nih.gov/pubmed/18032658 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1523/JNEUROSCI.2496-07.2007 |
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