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Dynamic FacesInsights from Experiments and Computation$
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Cristobal Curio, Heinrich H. Bulthoff, and Martin A. Giese

Print publication date: 2010

Print ISBN-13: 9780262014533

Published to MIT Press Scholarship Online: August 2013

DOI: 10.7551/mitpress/9780262014533.001.0001

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Multimodal Studies Using Dynamic Faces

Multimodal Studies Using Dynamic Faces

(p.123) 9 Multimodal Studies Using Dynamic Faces
Dynamic Faces

Aina Puce

Charles E. Schroeder

The MIT Press

In this chapter, the authors analyze human electrophysiological event-related potential (ERP) experiments related to facial movement and find that socially relevant signals modulate the amplitude of ERP responses. The response of N170, a prominent component in the ERP data, to static and dynamic faces is generated in response to the onset of the motion stimulus. The authors emphasize that the same experimental treatment cannot be given to both the measured responses to moving faces and to flashed static faces, and find that the social and emotional context of a viewed face determines the strength of the neural response. They further argue that N170 is not simply a reflector of precise spatiotemporal visual stimulus but is sensitive to the social importance of some of the facial movements.

Keywords:   event-related potential, facial movement, socially relevant signals, N170, neural responses

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