Journal
CURRENT OPINION IN NEUROBIOLOGY
Volume 22, Issue 6, Pages 1075-1081Publisher
CURRENT BIOLOGY LTD
DOI: 10.1016/j.conb.2012.08.003
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Funding
- McKnight Foundation
- McDonnell Foundation
- NIMH [1R01MH087882-01]
- NINDS [1R01NS078784-01]
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The reward prediction error (RPE) theory of dopamine (DA) function has enjoyed great success in the neuroscience of learning and decision-making. This theory is derived from model-free reinforcement learning (RL), in Which choices are made simply on the basis of previously realized rewards. Recently, attention has turned to correlates of more flexible, albeit computationally complex, model-based methods in the brain. These methods are distinguished from model-free learning by their evaluation of candidate actions using expected future outcomes according to a world model. Puzzlingly, signatures from these computations seem to be pervasive in the very same regions previously thought to support model-free learning. Here, we review recent behavioral and neural evidence about these two systems, in attempt to reconcile their enigmatic cohabitation in the brain.
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