Literature DB >> 15050775

More learned irrelevance than perseveration errors in rule shifting in healthy subjects.

J H R Maes1, M D C Damen, P A T M Eling.   

Abstract

The present experiments examined the extent to which two possible sources of error affect healthy subjects' performance in a rule-shift task. All 115 participants first received a discrimination learning task, in which a pair of different visual stimuli was presented on each trial, one of which had to be identified as 'correct.' Each stimulus varied in two dimensions: a task-relevant and a task-irrelevant dimension. Feedback on correctness was given after each choice. After eight successive correct choices, the nature of the task-relevant dimension changed: the post-shift learning phase. Two types of error can occur in this phase: continued responding to the former relevant, but now irrelevant, dimension, a perseverative error, and non-responding to the former irrelevant, but now relevant, dimension, an error due to learned irrelevance. Different groups received a post-shift task in which none, one, or both of these two types of error could affect performance. The number of incorrect choices in the post-shift phase was significantly affected by learned-irrelevance errors but not by perseverative errors. An associative-learning model incorporating feedback-induced changes in both associative strength and saliency of the elements comprising the stimuli can explain these results.

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Year:  2004        PMID: 15050775     DOI: 10.1016/j.bandc.2004.01.003

Source DB:  PubMed          Journal:  Brain Cogn        ISSN: 0278-2626            Impact factor:   2.310


  7 in total

1.  Reduced activity at the 5-HT(2C) receptor enhances reversal learning by decreasing the influence of previously non-rewarded associations.

Authors:  S R O Nilsson; T L Ripley; E M Somerville; P G Clifton
Journal:  Psychopharmacology (Berl)       Date:  2012-05-29       Impact factor: 4.530

2.  Dissociable roles for the nucleus accumbens core and shell in regulating set shifting.

Authors:  Stan B Floresco; Sarvin Ghods-Sharifi; Claudia Vexelman; Orsolya Magyar
Journal:  J Neurosci       Date:  2006-03-01       Impact factor: 6.167

3.  Learned predictiveness effects following single-cue training in humans.

Authors:  M E Le Pelley; M N Turnbull; S J Reimers; R L Knipe
Journal:  Learn Behav       Date:  2010-05       Impact factor: 1.986

4.  Sources of Cognitive Inflexibility in Set-Shifting Tasks: Insights Into Developmental Theories From Adult Data.

Authors:  Anthony Steven Dick
Journal:  J Cogn Dev       Date:  2012-02-09

5.  Prefrontal contributions to rule-based and information-integration category learning.

Authors:  David M Schnyer; W Todd Maddox; Shawn Ell; Sarah Davis; Jenni Pacheco; Mieke Verfaellie
Journal:  Neuropsychologia       Date:  2009-07-28       Impact factor: 3.139

Review 6.  Dopaminergic control of cognitive flexibility in humans and animals.

Authors:  Marianne Klanker; Matthijs Feenstra; Damiaan Denys
Journal:  Front Neurosci       Date:  2013-11-05       Impact factor: 4.677

Review 7.  The rat's not for turning: Dissociating the psychological components of cognitive inflexibility.

Authors:  Simon R O Nilsson; Johan Alsiö; Elizabeth M Somerville; Peter G Clifton
Journal:  Neurosci Biobehav Rev       Date:  2015-06-22       Impact factor: 8.989

  7 in total

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