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    Evaluation of the hypothesis that phasic dopamine constitutes a cached-value signal

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    Author
    Sharpe, M.J.
    Schoenbaum, G.
    Date
    2018
    Journal
    Neurobiology of Learning and Memory
    Publisher
    Elsevier Inc.
    Type
    Article
    
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    https://dx.doi.org/10.1016/j.nlm.2017.12.002
    Abstract
    The phasic dopamine error signal is currently argued to be synonymous with the prediction error in Sutton and Barto (1987, 1998) model-free reinforcement learning algorithm (Schultz et al., 1997). This theory argues that phasic dopamine reflects a cached-value signal that endows reward-predictive cues with the scalar value inherent in reward. Such an interpretation does not envision a role for dopamine in more complex cognitive representations between events which underlie many forms of associative learning, restricting the role dopamine can play in learning. The cached-value hypothesis of dopamine makes three concrete predictions about when a phasic dopamine response should be seen and what types of learning this signal should be able to promote. We discuss these predictions in light of recent evidence which we believe provide particularly strong tests of their validity. In doing so, we find that while the phasic dopamine signal conforms to a cached-value account in some circumstances, other evidence demonstrate that this signal is not restricted to a model-free cached-value reinforcement learning signal. In light of this evidence, we argue that the phasic dopamine signal functions more generally to signal violations of expectancies to drive real-world associations between events. © 2017
    Keyword
    model-free reinforcement learning algorithm
    phasic dopamine signal
    Conditioning (Psychology)
    Dopamine
    Reward
    Identifier to cite or link to this item
    https://www.scopus.com/inward/record.uri?eid=2-s2.0-85039556743&doi=10.1016%2fj.nlm.2017.12.002&partnerID=40&md5=6d437789206a4e3a7054433ed0ece475; http://hdl.handle.net/10713/8781
    ae974a485f413a2113503eed53cd6c53
    10.1016/j.nlm.2017.12.002
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