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From coarse to fine: Interactive feature processing precedes local feature analysis in human face perception.

Judith C Peters1, Rainer Goebel1, Valerie Goffaux2

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Holistic Interactive Feature Processing (IFP) in faces occurs before Local Feature Processing (LFP). This suggests a Coarse-to-Fine strategy for face perception, where global analysis precedes local details.

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Area of Science:

  • Cognitive Neuroscience
  • Visual Perception
  • Neuroscience

Background:

  • Face perception involves a dynamic interplay between holistic Interactive Feature Processing (IFP) and Local Feature Processing (LFP).
  • The temporal order of IFP and LFP in face perception remains unclear, with competing Fine-to-Coarse and Coarse-to-Fine models.
  • Understanding this sequence is crucial for models of visual cognition.

Purpose of the Study:

  • To investigate whether Interactive Feature Processing (IFP) precedes Local Feature Processing (LFP) or vice versa.
  • To determine the temporal dynamics and neural correlates of IFP and LFP during face perception.
  • To test predictions of Coarse-to-Fine versus Fine-to-Coarse strategies in face processing.

Main Methods:

  • Event-Related Potentials (ERP) study using face stimuli with congruent and incongruent distracter features.
  • Participants performed a feature-matching task, and psychophysical performance was recorded.
  • Neural activity was analyzed for distinct temporal and spatial patterns associated with IFP and LFP, including the effects of face inversion.

Main Results:

  • Psychophysical data showed that dissimilar target features engaged LFP, minimizing distracter interference, while similar target features in dissimilar contexts engaged IFP, increasing interference.
  • Face inversion disrupted IFP effects but not LFP effects, indicating distinct processing stages.
  • ERP data revealed that IFP effects emerged earlier (around 176 ms) than LFP effects (around 296 ms), with IFP showing right-lateralized activity and LFP showing left-lateralized activity.

Conclusions:

  • Interactive Feature Processing (IFP) temporally precedes Local Feature Processing (LFP) in face perception.
  • The findings support a Coarse-to-Fine strategy for face perception, where global holistic analysis precedes local feature analysis.
  • This supports broader models of visual perception where global scene processing precedes detailed local examination.