Literature DB >> 20551337

The dimensionality of perceptual category learning: a state-trace analysis.

Ben R Newell1, John C Dunn, Michael Kalish.   

Abstract

State-trace analysis was used to investigate the effect of concurrent working memory load on perceptual category learning. Initial reanalysis of Zeithamova and Maddox (2006, Experiment 1) revealed an apparently two-dimensional state-trace plot consistent with a dual-system interpretation of category learning. However, three modified replications of the original experiment found evidence of a single resource underlying the learning of both rule-based and information integration category structures. Follow-up analyses of the Zeithamova and Maddox data, restricted to only those participants who had learned the category task and performed the concurrent working memory task adequately, revealed a one-dimensional plot consistent with a single-resource interpretation and the results of the three new experiments. The results highlight the potential of state-trace analysis in furthering our understanding of the mechanisms underlying category learning.

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Year:  2010        PMID: 20551337     DOI: 10.3758/MC.38.5.563

Source DB:  PubMed          Journal:  Mem Cognit        ISSN: 0090-502X


  36 in total

1.  The effects of concurrent task interference on category learning: evidence for multiple category learning systems.

Authors:  E M Waldron; F G Ashby
Journal:  Psychon Bull Rev       Date:  2001-03

2.  Dissociating explicit and procedural-learning based systems of perceptual category learning.

Authors:  W Todd Maddox; F Gregory Ashby
Journal:  Behav Processes       Date:  2004-06-30       Impact factor: 1.777

3.  ALCOVE: an exemplar-based connectionist model of category learning.

Authors:  J K Kruschke
Journal:  Psychol Rev       Date:  1992-01       Impact factor: 8.934

4.  How many dimensions underlie judgments of learning and recall? Evidence from state-trace methodology.

Authors:  Yoonhee Jang; Thomas O Nelson
Journal:  J Exp Psychol Gen       Date:  2005-08

Review 5.  Rule-based category learning in patients with Parkinson's disease.

Authors:  Amanda Price; J Vincent Filoteo; W Todd Maddox
Journal:  Neuropsychologia       Date:  2009-02-02       Impact factor: 3.139

6.  Dimensions in data: testing psychological models using state-trace analysis.

Authors:  Ben R Newell; John C Dunn
Journal:  Trends Cogn Sci       Date:  2008-07-05       Impact factor: 20.229

7.  The Psychophysics Toolbox.

Authors:  D H Brainard
Journal:  Spat Vis       Date:  1997

8.  Cortical and subcortical brain regions involved in rule-based category learning.

Authors:  J Vincent Filoteo; W Todd Maddox; Alan N Simmons; A David Ing; Xavier E Cagigas; Scott Matthews; Martin P Paulus
Journal:  Neuroreport       Date:  2005-02-08       Impact factor: 1.837

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

Authors:  F G Ashby; L A Alfonso-Reese; A U Turken; E M Waldron
Journal:  Psychol Rev       Date:  1998-07       Impact factor: 8.934

10.  Forward inference using functional neuroimaging: dissociations versus associations.

Authors:  Richard Henson
Journal:  Trends Cogn Sci       Date:  2006-01-06       Impact factor: 20.229

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  19 in total

1.  Deferred feedback sharply dissociates implicit and explicit category learning.

Authors:  J David Smith; Joseph Boomer; Alexandria C Zakrzewski; Jessica L Roeder; Barbara A Church; F Gregory Ashby
Journal:  Psychol Sci       Date:  2013-12-13

2.  Using state-trace analysis to dissociate the functions of the human hippocampus and perirhinal cortex in recognition memory.

Authors:  Bernhard P Staresina; Juergen Fell; John C Dunn; Nikolai Axmacher; Richard N Henson
Journal:  Proc Natl Acad Sci U S A       Date:  2013-02-04       Impact factor: 11.205

3.  Prior experience with negative spectral correlations promotes information integration during auditory category learning.

Authors:  Mathias Scharinger; Molly J Henry; Jonas Obleser
Journal:  Mem Cognit       Date:  2013-07

4.  A dimensional summation account of polymorphous category learning.

Authors:  Andy J Wills; Lyn Ellett; Fraser Milton; Gareth Croft; Tom Beesley
Journal:  Learn Behav       Date:  2020-03       Impact factor: 1.986

5.  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
Journal:  Atten Percept Psychophys       Date:  2014-07       Impact factor: 2.199

6.  The time course of explicit and implicit categorization.

Authors:  J David Smith; Alexandria C Zakrzewski; Eric R Herberger; Joseph Boomer; Jessica L Roeder; F Gregory Ashby; Barbara A Church
Journal:  Atten Percept Psychophys       Date:  2015-10       Impact factor: 2.199

7.  Working-memory load and temporal myopia in dynamic decision making.

Authors:  Darrell A Worthy; A Ross Otto; W Todd Maddox
Journal:  J Exp Psychol Learn Mem Cogn       Date:  2012-04-30       Impact factor: 3.051

8.  Generalization of category knowledge and dimensional categorization in humans (Homo sapiens) and nonhuman primates (Macaca mulatta).

Authors:  J David Smith; Alexandria C Zakrzewski; Jennifer J R Johnston; Jessica L Roeder; Joseph Boomer; F Gregory Ashby; Barbara A Church
Journal:  J Exp Psychol Anim Learn Cogn       Date:  2015-07-13       Impact factor: 2.478

9.  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

Review 10.  Is state-trace analysis an appropriate tool for assessing the number of cognitive systems?

Authors:  F Gregory Ashby
Journal:  Psychon Bull Rev       Date:  2014-08
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