Literature DB >> 15478752

Disrupting feedback processing interferes with rule-based but not information-integration category learning.

W Todd Maddox1, F Gregory Ashby, A David Ing, Alan D Pickering.   

Abstract

The effect of a sequentially presented memory scanning task on rule-based and information-integration category learning was investigated. On each trial in the short feedback-processing time condition, memory scanning immediately followed categorization. On each trial in the long feedback-processing time condition, categorization was followed by a 2.5-sec delay and then memory scanning. In the control condition, no memory scanning was required. Rule-based category learning was significantly worse in the short feedback-processing time condition than in the long feedback-processing time condition or control condition, whereas information-integration category learning was equivalent across conditions. In the rule-based condition, a smaller proportion of observers learned the task in the short feedback-processing time condition, and those who learned took longer to reach the performance criterion than did those in the long feedback-processing time or control condition. No differences were observed in the information integration task. These results provide support for a multiple-systems approach to category learning and argue against the validity of single-system approaches.

Mesh:

Year:  2004        PMID: 15478752     DOI: 10.3758/bf03195849

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


  18 in total

1.  Exemplar-based accounts of "multiple-system" phenomena in perceptual categorization.

Authors:  R M Nosofsky; M K Johansen
Journal:  Psychon Bull Rev       Date:  2000-09

2.  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

3.  Procedural learning in perceptual categorization.

Authors:  F Gregory Ashby; Shawn W Ell; Elliott M Waldron
Journal:  Mem Cognit       Date:  2003-10

4.  Delayed feedback effects on rule-based and information-integration category learning.

Authors:  W Todd Maddox; F Gregory Ashby; Corey J Bohil
Journal:  J Exp Psychol Learn Mem Cogn       Date:  2003-07       Impact factor: 3.051

5.  Observational versus feedback training in rule-based and information-integration category learning.

Authors:  F Gregory Ashby; W Todd Maddox; Corey J Bohil
Journal:  Mem Cognit       Date:  2002-07

Review 6.  Alternative strategies of categorization.

Authors:  E E Smith; A L Patalano; J Jonides
Journal:  Cognition       Date:  1998-01

7.  The Psychophysics Toolbox.

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

8.  On the development of procedural knowledge.

Authors:  D B Willingham; M J Nissen; P Bullemer
Journal:  J Exp Psychol Learn Mem Cogn       Date:  1989-11       Impact factor: 3.051

9.  Parallel brain systems for learning with and without awareness.

Authors:  P J Reber; L R Squire
Journal:  Learn Mem       Date:  1994 Nov-Dec       Impact factor: 2.460

10.  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

View more
  56 in total

1.  Analogical transfer in perceptual categorization.

Authors:  Michael B Casale; Jessica L Roeder; F Gregory Ashby
Journal:  Mem Cognit       Date:  2012-04

Review 2.  Human category learning 2.0.

Authors:  F Gregory Ashby; W Todd Maddox
Journal:  Ann N Y Acad Sci       Date:  2010-12-23       Impact factor: 5.691

3.  Evidence for a procedural-learning-based system in perceptual category learning.

Authors:  W Todd Maddox; Corey J Bohil; A David Ing
Journal:  Psychon Bull Rev       Date:  2004-10

4.  Dual-task interference in perceptual category learning.

Authors:  Dagmar Zeithamova; W Todd Maddox
Journal:  Mem Cognit       Date:  2006-03

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

Authors:  Roger D Stanton; Robert M Nosofsky
Journal:  Mem Cognit       Date:  2007-10

Review 6.  Basal ganglia and dopamine contributions to probabilistic category learning.

Authors:  D Shohamy; C E Myers; J Kalanithi; M A Gluck
Journal:  Neurosci Biobehav Rev       Date:  2007-08-10       Impact factor: 8.989

7.  The role of visuospatial and verbal working memory in perceptual category learning.

Authors:  Dagmar Zeithamova; W Todd Maddox
Journal:  Mem Cognit       Date:  2007-09

8.  Initial training with difficult items facilitates information integration, but not rule-based category learning.

Authors:  Brian J Spiering; F Gregory Ashby
Journal:  Psychol Sci       Date:  2008-11

9.  The C957T polymorphism in the dopamine receptor D₂ gene modulates domain-general category learning.

Authors:  Zilong Xie; W Todd Maddox; John E McGeary; Bharath Chandrasekaran
Journal:  J Neurophysiol       Date:  2015-03-11       Impact factor: 2.714

10.  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

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.