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Related Experiment Videos

Adaptive norm-based coding of facial identity.

Gillian Rhodes1, Linda Jeffery

  • 1School of Psychology, The University of Western Australia, 35 Stirling Highway, Crawley, WA 6009, Australia. gill@psy.uwa.edu.au

Vision Research
|May 2, 2006
PubMed
Summary

Face recognition relies on adapting to opposite identities, with the average face acting as a norm. This study confirms this adaptive norm-based coding model for face identity, demonstrating selective aftereffects.

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Area of Science:

  • Cognitive Neuroscience
  • Computational Vision
  • Psychology

Background:

  • Face identification may involve adapting to a norm, potentially the average face.
  • Previous research suggested prototype-referenced coding but lacked convincing evidence for selective aftereffects.

Purpose of the Study:

  • To demonstrate the selectivity of face identity aftereffects.
  • To provide evidence for an adaptive norm-based coding model of face identity.

Main Methods:

  • Adaptation experiments using opposite and non-opposite face pairs matched for perceptual contrast.
  • Assessing the magnitude of aftereffects for different adapt-test pairs.
  • Evaluating the detectability of component identities in morphed faces.

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Main Results:

  • A significantly larger aftereffect was observed for opposite compared to non-opposite face pairs.
  • Component identities were more difficult to detect in morphs of opposite face pairs.

Conclusions:

  • The findings demonstrate selectivity in face identity aftereffects, supporting the role of an adaptive norm.
  • An adaptive norm-based coding model is proposed to explain face identity processing.