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Chunk #18 — DISCUSSION

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States versus rewards: dissociable neural prediction error signals underlying model-based and model-free reinforcement learning.
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the lateral PFC has been proposed to contribute toward the implementation of model-based RL, possibly in the form of Bayesian belief states (Samejima and Doya, 2007), an account consistent with our proposed role of this area in model-based reinforcement learning. The present results when taken together with these previous findings could suggest a very general role for lateral PFC in learning probabilistic stimulus-stimulus associations.