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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Published in | The Journal of neuroscience Vol. 27; no. 47; pp. 12860 - 12867 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
United States
Soc Neuroscience
21.11.2007
Society for Neuroscience |
Subjects | |
Online Access | Get full text |
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