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Paper   IPM / Cognitive Sciences / 12160
School of Cognitive Sciences
  Title:   A bio-inspired computational neural model for illustration face and car expertise effect on the gateway to the right FFA
1.  Reza Ebrahimpour
2.  Atena Sajedin
3.  Seyed Zeinolabedin Moussavi
  Status:   Published
  Journal: International Journal of Innovative Computing, Information and Control
  Vol.:  8
  Year:  2012
  Pages:   3451-3466
  Supported by:  IPM
The human visual system consists of a hierarchy of multiple cortical areas and it has been reported that a cortical region in the fusiform gyrus called the Fusiform Face Area, FFA, responds much more strongly to faces than to any other class of stimulus. Recent studies have also revealed that objects of visual expertise activate the FFA more strongly than non-expertise stimuli, and it was argued that the right FFA is involved in expertise-specific rather than face-specific visual processing. According to these evidences, we propose a new biologically plausible computational model to illustrate face and car expertise effect on the gateway to the right FFA. In addition, there has been reported a difference in the onset latency of macaque infero temporal neural responses. This latter case is also considered in the proposed model, where faces are recognized in the first layer and in the second layer, a discrimination task between cars and other objects is carried out.

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