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Published April 2012 | public
Journal Article

Beyond simple reinforcement learning: the computational neurobiology of reward-learning and valuation


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.

Additional Information

© 2012 The Author. European Journal of Neuroscience © 2012 Federation of European Neuroscience Societies and Blackwell Publishing Ltd. Received 9 February 2012, revised 14 February 2012, accepted 15 February 2012. Article first published online: 4 Apr 2012.

Additional details

August 19, 2023
October 17, 2023