Literature DB >> 24335605

Deferred feedback sharply dissociates implicit and explicit category learning.

J David Smith1, Joseph Boomer, Alexandria C Zakrzewski, Jessica L Roeder, Barbara A Church, F Gregory Ashby.   

Abstract

The controversy over multiple category-learning systems is reminiscent of the controversy over multiple memory systems. Researchers continue to seek paradigms to sharply dissociate explicit category-learning processes (featuring category rules that can be verbalized) from implicit category-learning processes (featuring learned stimulus-response associations that lie outside declarative cognition). We contribute a new dissociative paradigm, adapting the technique of deferred-rearranged reinforcement from comparative psychology. Participants learned matched category tasks that had either a one-dimensional, rule-based solution or a multidimensional, information-integration solution. They received feedback either immediately or after each block of trials, with the feedback organized such that positive outcomes were grouped and negative outcomes were grouped (deferred-rearranged reinforcement). Deferred reinforcement qualitatively eliminated implicit, information-integration category learning. It left intact explicit, rule-based category learning. Moreover, implicit-category learners facing deferred-rearranged reinforcement turned by default and information-processing necessity to rule-based strategies that poorly suited their nominal category task. The results represent one of the strongest explicit-implicit dissociations yet seen in the categorization literature.

Entities:  

Keywords:  associative learning; category learning; category rules; cognitive neuroscience; explicit cognition; implicit cognition; procedural learning

Mesh:

Year:  2013        PMID: 24335605      PMCID: PMC3946254          DOI: 10.1177/0956797613509112

Source DB:  PubMed          Journal:  Psychol Sci        ISSN: 0956-7976


  29 in total

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7.  Dissociating uncertainty responses and reinforcement signals in the comparative study of uncertainty monitoring.

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9.  A neuropsychological theory of multiple systems in category learning.

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Authors:  B J Knowlton; L R Squire
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  30 in total

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6.  The transfer of category knowledge by macaques (Macaca mulatta) and humans (Homo sapiens).

Authors:  Alexandria C Zakrzewski; Barbara A Church; J David Smith
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7.  Cross-modal information integration in category learning.

Authors:  J David Smith; Jennifer J R Johnston; Robert D Musgrave; Alexandria C Zakrzewski; Joseph Boomer; Barbara A Church; F Gregory Ashby
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Authors:  J David Smith; Alexandria C Zakrzewski; Eric R Herberger; Joseph Boomer; Jessica L Roeder; F Gregory Ashby; Barbara A Church
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9.  A Comparison of the neural correlates that underlie rule-based and information-integration category learning.

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10.  The role of feedback contingency in perceptual category learning.

Authors:  F Gregory Ashby; Lauren E Vucovich
Journal:  J Exp Psychol Learn Mem Cogn       Date:  2016-05-05       Impact factor: 3.051

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