Document Detail

Distinctiveness and correlation in conceptual structure: behavioral and computational studies.
MedLine Citation:
PMID:  14979813     Owner:  NLM     Status:  MEDLINE    
Patients with category-specific deficits have motivated a range of hypotheses about the structure of the conceptual system. One class of models claims that apparent category dissociations emerge from the internal structure of concepts rather than fractionation of the system into separate substores. This account claims that distinctive properties of concepts in the living domain are vulnerable because of their weak correlation with other features. Given the assumption that mutual activation among correlated properties produces faster activation in the normal system, the authors predicted a disadvantage for the distinctive features of living things for unimpaired adults. Results of a speeded feature verification study supported this prediction, as did a computational simulation in which networks mapped from orthography to semantics.
Billi Randall; Helen E Moss; Jennifer M Rodd; Mike Greer; Lorraine K Tyler
Related Documents :
22268793 - A monte carlo simulation study of the reliability of intraindividual variability.
21864453 - Statistical significance testing with mahalanobis distance for thresholds estimated fro...
1865493 - Stereological estimation of the mean and variance of nuclear volume from vertical secti...
Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  Journal of experimental psychology. Learning, memory, and cognition     Volume:  30     ISSN:  0278-7393     ISO Abbreviation:  J Exp Psychol Learn Mem Cogn     Publication Date:  2004 Mar 
Date Detail:
Created Date:  2004-02-24     Completed Date:  2004-06-25     Revised Date:  2007-11-15    
Medline Journal Info:
Nlm Unique ID:  8207540     Medline TA:  J Exp Psychol Learn Mem Cogn     Country:  United States    
Other Details:
Languages:  eng     Pagination:  393-406     Citation Subset:  IM    
Centre for Speech and Language, Department of Experimental Psychology, University of Cambridge, Cambridge, United Kingdom.
Export Citation:
APA/MLA Format     Download EndNote     Download BibTex
MeSH Terms
Concept Formation*
Discrimination Learning
Models, Statistical
Neural Networks (Computer)
Paired-Associate Learning*
Psychometrics / statistics & numerical data
Reaction Time*
Regression Analysis
Set (Psychology)
Statistics as Topic

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine

Previous Document:  Reversing the emotional Stroop effect reveals that it is not what it seems: the role of fast and slo...
Next Document:  The influence of stimulus properties on category construction.