publication . Article . 2016

A specialized face-processing model inspired by the organization of monkey face patches explains several face-specific phenomena observed in humans

Karim Rajaei; Reza Ebrahimpour; Masoud Ghodrati; Amirhossein Farzmahdi; Seyed-Mahdi Khaligh-Razavi;
Open Access
  • Published: 26 Apr 2016
  • Publisher: Springer Science and Business Media LLC
  • Country: United States
Abstract
Converging reports indicate that face images are processed through specialized neural networks in the brain –i.e. face patches in monkeys and the fusiform face area (FFA) in humans. These studies were designed to find out how faces are processed in visual system compared to other objects. Yet, the underlying mechanism of face processing is not completely revealed. Here, we show that a hierarchical computational model, inspired by electrophysiological evidence on face processing in primates, is able to generate representational properties similar to those observed in monkey face patches (posterior, middle and anterior patches). Since the most important goal of se...
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doi: 10.1038/srep25025
pmid: 27113635
pmc: PMC4844965
Subjects
free text keywords: Multidisciplinary, Article, Artificial neural network, Facial recognition system, Network model, Cognition, Sensory neuroscience, Fusiform face area, Artificial intelligence, business.industry, business, Perception, media_common.quotation_subject, media_common, Computer vision, Computer science
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