Journal
COGNITION
Volume 108, Issue 2, Pages 578-589Publisher
ELSEVIER SCIENCE BV
DOI: 10.1016/j.cognition.2008.03.010
Keywords
perceptual categorization; cognitive neuroscience of categorization; reinforcement learning; dopamine; striatum; Bayesian hypothesis testing; feedback
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Funding
- NIMH NIH HHS [R01 MH077708, R01 MH077708-02, R01 MH 59196, R01 MH059196] Funding Source: Medline
- NINDS NIH HHS [R01 NS 41372, R01 NS041372] Funding Source: Medline
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Rule-based and information-integration category learning were compared under minimal and full feedback conditions. Rule-based category structures are those for which the optimal rule is verbalizable. Information-integration category structures are those for which the optimal rule is not verbalizable. With minimal feedback subjects are told whether their response was correct or incorrect, but are not informed of the correct category assignment. With full feedback subjects are informed of the correctness of their response and are also informed of the correct category assignment. An examination of the distinct neural circuits that subserve rule-based and information-integration category learning leads to the counterintuitive prediction that full feedback should facilitate rule-based learning but should also hinder informationintegration learning. This prediction was supported in the experiment reported below. The implications of these results for theories of learning are discussed. (c) 2008 Elsevier B.V. All rights reserved.
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