Literature DB >> 20436197

Automaticity in rule-based and information-integration categorization.

Sébastien Hélie1, Jennifer G Waldschmidt, F Gregory Ashby.   

Abstract

Three experiments studied the effects of category structure on the development of categorization automaticity. In Experiment 1, participants were each trained for over 10,000 trials in a simple categorization task with one of three category structures. Results showed that after the first few sessions, there were no significant behavioral differences between participants who learned rule-based versus information-integration category structures. Experiment 2 showed that switching the locations of the response keys after automaticity had developed caused a similar highly significant interference, regardless of category structure. In Experiment 3, a simultaneous dual task that engaged executive functions did not interfere with either rule-based or information-integration categorization. These novel results are consistent with a theory assuming separate processing pathways for initial rule-based and information-integration category learning but a common processing pathway after the development of automaticity.

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Year:  2010        PMID: 20436197     DOI: 10.3758/APP.72.4.1013

Source DB:  PubMed          Journal:  Atten Percept Psychophys        ISSN: 1943-3921            Impact factor:   2.199


  22 in total

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Authors:  Michael B Casale; Jessica L Roeder; F Gregory Ashby
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Review 2.  Human category learning 2.0.

Authors:  F Gregory Ashby; W Todd Maddox
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Authors:  Sebastien Helie; F Gregory Ashby
Journal:  Psychol Res       Date:  2011-06-10

4.  Cortical and striatal contributions to automaticity in information-integration categorization.

Authors:  Jennifer G Waldschmidt; F Gregory Ashby
Journal:  Neuroimage       Date:  2011-02-18       Impact factor: 6.556

5.  Blocking as a friend of induction in verbal category learning.

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Journal:  Mem Cognit       Date:  2016-10

6.  A Study of Individual Differences in Categorization with Redundancy.

Authors:  Farzin Shamloo; Sébastien Hélie
Journal:  J Math Psychol       Date:  2020-11-03       Impact factor: 2.223

7.  Default mode contributions to automated information processing.

Authors:  Deniz Vatansever; David K Menon; Emmanuel A Stamatakis
Journal:  Proc Natl Acad Sci U S A       Date:  2017-10-23       Impact factor: 11.205

8.  A Comparison of the neural correlates that underlie rule-based and information-integration category learning.

Authors:  Kathryn L Carpenter; Andy J Wills; Abdelmalek Benattayallah; Fraser Milton
Journal:  Hum Brain Mapp       Date:  2016-05-20       Impact factor: 5.038

9.  Dissociable changes in functional network topology underlie early category learning and development of automaticity.

Authors:  Fabian A Soto; Danielle S Bassett; F Gregory Ashby
Journal:  Neuroimage       Date:  2016-07-21       Impact factor: 6.556

10.  Brain activity across the development of automatic categorization: a comparison of categorization tasks using multi-voxel pattern analysis.

Authors:  Fabian A Soto; Jennifer G Waldschmidt; Sebastien Helie; F Gregory Ashby
Journal:  Neuroimage       Date:  2013-01-17       Impact factor: 6.556

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