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Deferred Feedback Sharply Dissociates Implicit and Explicit Category Learning

  • J. David Smith
  • , Joseph Boomer
  • , Alexandria C. Zakrzewski
  • , Jessica L. Roeder
  • , Barbara A. Church
  • , F. Gregory Ashby
  • SUNY Buffalo
  • University of California at Santa Barbara

Research output: Contribution to journalArticlepeer-review

64 Scopus citations

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.

Original languageEnglish
Pages (from-to)447-457
Number of pages11
JournalPsychological Science
Volume25
Issue number2
DOIs
StatePublished - Feb 2014

Keywords

  • associative learning
  • category learning
  • category rules
  • cognitive neuroscience
  • explicit cognition
  • implicit cognition
  • procedural learning

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