A distributional code for value in dopamine-based reinforcement learning

Nat., pp. 671-675, 2020.

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Abstract:

Since its introduction, the reward prediction error theory of dopamine has explained a wealth of empirical phenomena, providing a unifying framework for understanding the representation of reward and value in the brain. According to the now canonical theory, reward predictions are represented as a single scalar quantity, which supports le...More

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