Literature DB >> 18062551

Feedback interference and dissociations of classification: evidence against the multiple-learning-systems hypothesis.

Roger D Stanton1, Robert M Nosofsky.   

Abstract

Researchers have argued that different categorization problems are learned by separate and distinct cognitive systems. They propose that an explicit system is responsible for learning rule-based categories and that a separate implicit system learns information-integration categories. One source of supporting evidence involves experiments in which observers perform a concurrent memory-scanning task that interferes with the processing of feedback. Researchers have reported a dissociation in which this manipulation impairs learning of a rule-based category but not an information-integration category. In the present research, we test the hypothesis that the dissociation was the result of lowered perceptual discriminability in the rule-based structure in comparison with the information-integration one. We demonstrate an example of an alternate rule-based category with easy-to-discriminate stimuli in which performance is unaffected by the interfering memory-scanning task. Furthermore, we demonstrate that learning of an information-integration category with low perceptual discriminability is impaired by the memory-scanning task. These demonstrations of the reverse dissociation challenge the interpretation that rule-based and information-integration category structures are learned by separate cognitive systems.

Mesh:

Year:  2007        PMID: 18062551     DOI: 10.3758/bf03193507

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


  18 in total

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Authors:  R M Nosofsky; M K Johansen
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2.  Single-system models and interference in category learning: commentary on Waldron and Ashby (2001).

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Journal:  Mem Cognit       Date:  2003-10

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Authors:  F Gregory Ashby; W Todd Maddox
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  12 in total

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

Authors:  Ben R Newell; John C Dunn; Michael Kalish
Journal:  Mem Cognit       Date:  2010-07

2.  The exemplar interleaving effect in inductive learning: moderation by the difficulty of category discriminations.

Authors:  Norehan Zulkiply; Jennifer S Burt
Journal:  Mem Cognit       Date:  2013-01

Review 3.  Prototypes, exemplars, and the natural history of categorization.

Authors:  J David Smith
Journal:  Psychon Bull Rev       Date:  2014-04

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Authors:  Matthew J Crossley; Erick J Paul; Jessica L Roeder; F Gregory Ashby
Journal:  Psychon Bull Rev       Date:  2016-02

5.  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

6.  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

7.  Comparing the effects of positive and negative feedback in information-integration category learning.

Authors:  Michael Freedberg; Brian Glass; J Vincent Filoteo; Eliot Hazeltine; W Todd Maddox
Journal:  Mem Cognit       Date:  2017-01

Review 8.  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

9.  Procedural memory effects in categorization: evidence for multiple systems or task complexity?

Authors:  Safa R Zaki; Dave F Kleinschmidt
Journal:  Mem Cognit       Date:  2014-04

10.  One Giant Leap for Categorizers: One Small Step for Categorization Theory.

Authors:  J David Smith; Shawn W Ell
Journal:  PLoS One       Date:  2015-09-02       Impact factor: 3.240

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