Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/121627
Título: Processing of facial expressions in peripheral vision: Neurophysiological evidence
Autores/as: Calvo, Manuel G.
Beltrán, David
Fernández Martín, Andrés 
Clasificación UNESCO: 610604 Análisis experimental de la conducta
Palabras clave: Emotion
ERP
Facial expression
Peripheral vision
Recognition, et al.
Fecha de publicación: 2014
Publicación seriada: Biological Psychology 
Resumen: We investigated the time course and processes in the recognition of facial expressions in peripheral vision (10.5°). Happy faces were categorized more accurately and faster than angry, fearful, sad, and neutral faces. Consistently, the N1 (90 to 130. ms post-stimulus) and N2pc (200-300. ms) ERP (event-related-potentials) components were more negative, and the SPWs (slow positive waves; 700-800. ms) were smaller, for happy than for non-happy faces. Computational modeling revealed that the smiling mouth became visually salient earlier (95. ms) than any other region, in temporal correspondence with the N1, thus showing an attentional capture by the smile. The N2pc presumably reflected the subsequent selective allocation of processing resources to happy faces. As a result, the reduced SPWs suggest that the decision process in expression categorization became less demanding for happy faces. We propose that facial expression recognition in peripheral vision is mainly driven by perceptual processing, without affective discrimination.
URI: http://hdl.handle.net/10553/121627
ISSN: 0301-0511
DOI: 10.1016/j.biopsycho.2014.05.007
Fuente: Biological Psychology [ISSN 0301-0511], v. 100, p. 60-70, (Julio 2014)
Colección:Artículos
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