Document Detail


The speed of individual face categorization.
MedLine Citation:
PMID:  16771798     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
How fast does the human visual system discriminate individual faces? To address this question, we used a continuous-stimulation paradigm in which event-related potentials (ERPs) to a face stimulus are recorded with respect to another face stimulus, rather than to a preceding blank-screen baseline epoch. Following the shift between two face stimuli, posterior sites showed an early negative ERP deflection that started at 130 ms and peaked at 160 ms, the latency of the N170, an ERP component associated with discriminating faces from objects. The ERP we recorded was larger in amplitude when the preceding stimulus was perceived as a different individual face rather than the same individual face, although face pairs were of equal physical distance in the two conditions. These findings provide direct evidence that individual face discrimination in humans can take place as early as 130 ms following stimulus onset, during the same time window as face detection.
Authors:
Corentin Jacques; Bruno Rossion
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  Psychological science     Volume:  17     ISSN:  0956-7976     ISO Abbreviation:  Psychol Sci     Publication Date:  2006 Jun 
Date Detail:
Created Date:  2006-06-14     Completed Date:  2006-08-10     Revised Date:  2011-05-20    
Medline Journal Info:
Nlm Unique ID:  9007542     Medline TA:  Psychol Sci     Country:  United States    
Other Details:
Languages:  eng     Pagination:  485-92     Citation Subset:  IM    
Affiliation:
Unité Cognition & Développement and Laboratoire de Neurophysiologie, University of Louvain, Louvain-la-Neuve, Belgium. corentin.jacques@psp.ucl.ac.be
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MeSH Terms
Descriptor/Qualifier:
Adult
Cognition*
Evoked Potentials / physiology
Facial Expression*
Female
Humans
Male
Pilot Projects
Reaction Time*

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


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