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Holistic processing of faces: learning effects with Mooney faces.

Marianne Latinus1, Margot J Taylor

  • 1Centre de Recherche Cerveau & Cognition-UMR, Faculté de Médecine Rangueil, Université Paul Sabatier, Toulouse, France. marianne.latinus@cerco.ups-tlse.fr

Journal of Cognitive Neuroscience
|October 4, 2005
PubMed
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The face inversion effect is linked to analytic processing, not holistic, for Mooney faces. Learning to recognize Mooney faces altered early electroencephalography (EEG) responses, suggesting analytic processing underlies the inversion effect.

Area of Science:

  • Cognitive Neuroscience
  • Visual Perception

Background:

  • The face inversion effect highlights the special processing of faces.
  • Holistic processing is crucial for face recognition, but its role in the inversion effect is debated.
  • Mooney faces offer a unique stimulus to investigate holistic processing and face perception.

Purpose of the Study:

  • To investigate the contribution of holistic processing to the face inversion effect using Mooney faces.
  • To examine the effects of learning Mooney face recognition on early event-related potentials (ERPs).
  • To differentiate the roles of analytic and holistic processing in face perception.

Main Methods:

  • Behavioral testing of Mooney face recognition accuracy.
  • Measurement of early face-sensitive event-related potentials (ERPs): N170, P1, and P2.

Related Experiment Videos

  • An intermediary training phase for Mooney face recognition in an experimental group.
  • Main Results:

    • Behavioral improvements in recognizing both upright and inverted Mooney faces post-training.
    • N170 amplitude was larger for upright than inverted Mooney faces, with latency changes after training.
    • P2 amplitude decreased after training only in the group that learned Mooney faces, indicating deeper processing.

    Conclusions:

    • The face inversion effect on N170 is likely mediated by analytic processing, not holistic processing.
    • Learning to recognize Mooney faces influences early ERP components, reflecting perceptual learning.
    • P2 reflects learning and enhanced processing of stimuli that are not initially identifiable as faces.