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Implicit and explicit contributions to statistical learning.

Laura J Batterink1, Paul J Reber1, Helen J Neville2

  • 1Northwestern University.

Journal of Memory and Language
|June 3, 2015
PubMed
Summary

Statistical learning enhances knowledge acquisition through both explicit and implicit processes. Indirect testing methods may better capture the full extent of learning compared to direct recognition tests.

Keywords:
event-related potentialsexplicit memoryimplicit learningimplicit memorystatistical learning

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Area of Science:

  • Cognitive Psychology
  • Neuroscience
  • Computational Linguistics

Background:

  • Statistical learning, akin to implicit learning, aids in detecting environmental regularities.
  • The precise contribution of implicit versus explicit knowledge in statistical learning remains underexplored.

Purpose of the Study:

  • To investigate the roles of implicit and explicit knowledge in auditory statistical learning.
  • To compare direct (recognition) and indirect (reaction time) measures of learning.

Main Methods:

  • Auditory statistical learning paradigm with nonsense words.
  • Direct testing: Forced-choice recognition with remember/know procedure.
  • Indirect testing: Reaction time (RT) and P300 event-related potentials.

Main Results:

  • Both recognition and RT tests showed statistical learning effects.
  • Recognition accuracy correlated with explicit memory (recollection, late positive potential).
  • RT and P300 effects indicated learning independent of explicit recognition.

Conclusions:

  • Statistical learning involves parallel acquisition of explicit and implicit knowledge.
  • Direct recognition tests may underestimate total learning; indirect measures offer broader insights.