Characterizing Face Encoding Mechanism by Selective Object Pattern in Brains using Synthetic Intelligence and Its Simultaneous Replication of Visual System That Encode Faces

Authors

  • Ankush Rai Department of Applied Science, CRIAD Laboratories, Smiriti Nagar, Bhilai 490020, India

Abstract

Various aspects of facial recognition information for identifying individuals are still remained unknown. Our goal in the research papers is to identify factors from parahippocampal place area (PPA)with means of computational method that trigger the recognition process and what constitutes facial encoding by measuring the selectively responses in PPA to images of objects. We use synthetic intelligent computer model to help categories the feature selectivity in brain patterns and simultaneously training it as a building block for visual system which mimics and categorized shape selective responses in PPA.

Keywords: Face perception; FMRI; Neural representation; Face recognition; Parahippocampal activity; Computational neuroscience

 

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Published

2014-09-12

Issue

Vol. 3 No. 2 (2014)

Section

Research/Review Articles

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