Dopamine, Inference, and Uncertainty | Zendy

Samuel J. Gershman | Zendy

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Dopamine, Inference, and Uncertainty

Author(s) -

Samuel J. Gershman

Publication year - 2017

Publication title -

neural computation

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.235

H-Index - 169

eISSN - 1530-888X

pISSN - 0899-7667

DOI - 10.1162/neco_a_01023

Subject(s) - reinforcement learning , latent inhibition , bayesian inference , bayesian probability , inference , orbitofrontal cortex , artificial intelligence , probabilistic logic , machine learning , stimulus (psychology) , psychology , computer science , dopamine , mean squared prediction error , classical conditioning , neuroscience , cognitive psychology , mathematics , conditioning , prefrontal cortex , cognition , statistics

The hypothesis that the phasic dopamine response reports a reward prediction error has become deeply entrenched. However, dopamine neurons exhibit several notable deviations from this hypothesis. A coherent explanation for these deviations can be obtained by analyzing the dopamine response in terms of Bayesian reinforcement learning. The key idea is that prediction errors are modulated by probabil...

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