期刊
EUROPEAN JOURNAL OF NEUROSCIENCE
卷 35, 期 7, 页码 987-990出版社
WILEY
DOI: 10.1111/j.1460-9568.2012.08074.x
关键词
basal ganglia; computational neuroscience; conditioning; decision-making; prefrontal cortex
Neural computational accounts of reward-learning have been dominated by the hypothesis that dopamine neurons behave like a reward-prediction error and thus facilitate reinforcement learning in striatal target neurons. While this framework is consistent with a lot of behavioral and neural evidence, this theory fails to account for a number of behavioral and neurobiological observations. In this special issue of EJN we feature a combination of theoretical and experimental papers highlighting some of the explanatory challenges faced by simple reinforcement-learning models and describing some of the ways in which the framework is being extended in order to address these challenges.
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