• DocumentCode
    3275881
  • Title

    Top down processing of faces in human brain: a behavioral study

  • Author

    Gandhi, T. ; Swami, P. ; Sinha, P. ; Anand, S.

  • Author_Institution
    Centre for Biomed. Eng., All India Inst. of Med. Sci., New Delhi, India
  • fYear
    2009
  • fDate
    14-15 Dec. 2009
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Notwithstanding the extensive research effort has gone into understanding face perception by human brain. The concept of face recognition is established yet is selectively impaired relative to recognition of faces of equivalent difficulty. The objective of present study is to develop a theoretical model and a set of stipulations for understanding and discussing how we distinguish familiar faces, and the relationship between recognition and other aspects of face processing. Top down imagery stimuli of familiar and unfamiliar faces were shown to healthy individuals and were asked to recognize them as quickly and accurately as possible. The stimuli were formulated in such a manner that semantic memory and cognitive training does not play a significant role during the task execution. The responded stages by the subjects were recorded. Results obtained from the nonparametric analysis of the multivariate data recorded indicate that process of structural decoding of unfamiliar faces occurring inside the brain is delayed in comparison to familiar faces. It is speculated that brain structures, which have been associated with face recognition task countenance difficulty while identifying unfamiliar faces. Several distinctive information that we derive from seen faces appear to influence the processing performance of the brain during the task.
  • Keywords
    brain; cognition; face recognition; nonparametric statistics; brain structures; cognitive training; face perception; face processing; face recognition; familiar faces; human brain; multivariate data; nonparametric analysis; semantic memory; structural decoding; top down imagery stimuli; top down processing; Biomedical engineering; Biomedical imaging; Brain modeling; Computer science; Encoding; Enterprise resource planning; Face recognition; Humans; Image recognition; Object recognition; Face recognition; Multivariate; Nonparametric analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Methods and Models in Computer Science, 2009. ICM2CS 2009. Proceeding of International Conference on
  • Conference_Location
    Delhi
  • Print_ISBN
    978-1-4244-5051-0
  • Type

    conf

  • DOI
    10.1109/ICM2CS.2009.5397979
  • Filename
    5397979