Literature DB >> 18455155

When more is less: feedback effects in perceptual category learning.

W Todd Maddox1, Bradley C Love, Brian D Glass, J Vincent Filoteo.   

Abstract

Rule-based and information-integration category learning were compared under minimal and full feedback conditions. Rule-based category structures are those for which the optimal rule is verbalizable. Information-integration category structures are those for which the optimal rule is not verbalizable. With minimal feedback subjects are told whether their response was correct or incorrect, but are not informed of the correct category assignment. With full feedback subjects are informed of the correctness of their response and are also informed of the correct category assignment. An examination of the distinct neural circuits that subserve rule-based and information-integration category learning leads to the counterintuitive prediction that full feedback should facilitate rule-based learning but should also hinder information-integration learning. This prediction was supported in the experiment reported below. The implications of these results for theories of learning are discussed.

Mesh:

Year:  2008        PMID: 18455155      PMCID: PMC2467509          DOI: 10.1016/j.cognition.2008.03.010

Source DB:  PubMed          Journal:  Cognition        ISSN: 0010-0277


  29 in total

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

2.  Dissociating explicit and implicit category knowledge with fMRI.

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3.  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

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

Authors:  W Todd Maddox; F Gregory Ashby; A David Ing; Alan D Pickering
Journal:  Mem Cognit       Date:  2004-06

5.  Individual differences in category learning: sometimes less working memory capacity is better than more.

Authors:  Marci S Decaro; Robin D Thomas; Sian L Beilock
Journal:  Cognition       Date:  2007-08-17

6.  On the genesis of abstract ideas.

Authors:  M I Posner; S W Keele
Journal:  J Exp Psychol       Date:  1968-07

7.  Mesencephalic dopaminergic unit activity in the behaviorally conditioned rat.

Authors:  J D Miller; M K Sanghera; D C German
Journal:  Life Sci       Date:  1981-09-21       Impact factor: 5.037

8.  Human midbrain sensitivity to cognitive feedback and uncertainty during classification learning.

Authors:  A R Aron; D Shohamy; J Clark; C Myers; M A Gluck; R A Poldrack
Journal:  J Neurophysiol       Date:  2004-03-10       Impact factor: 2.714

9.  SUSTAIN: a network model of category learning.

Authors:  Bradley C Love; Douglas L Medin; Todd M Gureckis
Journal:  Psychol Rev       Date:  2004-04       Impact factor: 8.934

Review 10.  The role of dopamine in locomotor activity and learning.

Authors:  R J Beninger
Journal:  Brain Res       Date:  1983-10       Impact factor: 3.252

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  34 in total

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Authors:  Shawn W Ell; Brandon Cosley; Shannon K McCoy
Journal:  Psychon Bull Rev       Date:  2011-02

2.  Tests of a Dual-systems Model of Speech Category Learning.

Authors:  W Todd Maddox; Bharath Chandrasekaran
Journal:  Biling (Camb Engl)       Date:  2014-10-01

3.  The Role of Corticostriatal Systems in Speech Category Learning.

Authors:  Han-Gyol Yi; W Todd Maddox; Jeanette A Mumford; Bharath Chandrasekaran
Journal:  Cereb Cortex       Date:  2014-10-19       Impact factor: 5.357

4.  Performance Pressure Enhances Speech Learning.

Authors:  W Todd Maddox; Seth Koslov; Han-Gyol Yi; Bharath Chandrasekaran
Journal:  Appl Psycholinguist       Date:  2015-12-23

Review 5.  Visual category learning: Navigating the intersection of rules and similarity.

Authors:  Gregory I Hughes; Ayanna K Thomas
Journal:  Psychon Bull Rev       Date:  2021-01-19

Review 6.  Towards a theory of individual differences in statistical learning.

Authors:  Noam Siegelman; Louisa Bogaerts; Morten H Christiansen; Ram Frost
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2017-01-05       Impact factor: 6.237

7.  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

8.  The role of age and executive function in auditory category learning.

Authors:  Rachel Reetzke; W Todd Maddox; Bharath Chandrasekaran
Journal:  J Exp Child Psychol       Date:  2015-10-22

9.  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

10.  Category label and response location shifts in category learning.

Authors:  W Todd Maddox; Brian D Glass; Jeffrey B O'Brien; J Vincent Filoteo; F Gregory Ashby
Journal:  Psychol Res       Date:  2009-05-27
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