Abstract
A deeper understanding of how the brain processes visual information can be obtained by comparing results from complementary fields such as psychophysics, physiology, and computer science. In this chapter, empirical findings are reviewed with regard to the proposed mechanisms and representations for processing identity and emotion in faces. Results from psychophysics clearly show that faces are processed by analyzing component information (eyes, nose, mouth, etc.) and their spatial relationship (configural information). Results from neuroscience indicate separate neural systems for recognition of identity and facial expression. Computer science offers a deeper understanding of the required algorithms and representations, and provides computational modeling of psychological and physiological accounts. An interdisciplinary approach taking these different perspectives into account provides a promising basis for better understanding and modeling of how the human brain processes visual information for recognition of identity and emotion in faces.
Original language | English |
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Pages (from-to) | 321-343 |
Number of pages | 23 |
Journal | Progress in Brain Research |
Volume | 156 |
DOIs | |
Publication status | Published - 2006 |
Externally published | Yes |
Bibliographical note
Copyright:Copyright 2008 Elsevier B.V., All rights reserved.
Keywords
- component and configural processing
- computational modeling of face processing
- face processing modules
- face recognition
- facial expression
- interdisciplinary approach
- psychophysics of face processing
ASJC Scopus subject areas
- General Neuroscience