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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Bibliographic Details
Published inThe Journal of neuroscience Vol. 27; no. 47; pp. 12860 - 12867
Main Authors Schonberg, Tom, Daw, Nathaniel D, Joel, Daphna, O'Doherty, John P
Format Journal Article
LanguageEnglish
Published United States Soc Neuroscience 21.11.2007
Society for Neuroscience
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