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Holistic face recognition is an emergent phenomenon of spatial processing in face-selective regions

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  • Sonia Poltoratski

    (Stanford University)

  • Kendrick Kay

    (University of Minnesota)

  • Dawn Finzi

    (Stanford University)

  • Kalanit Grill-Spector

    (Stanford University
    Stanford University)

Abstract

Spatial processing by receptive fields is a core property of the visual system. However, it is unknown how spatial processing in high-level regions contributes to recognition behavior. As face inversion is thought to disrupt typical holistic processing of information in faces, we mapped population receptive fields (pRFs) with upright and inverted faces in the human visual system. Here we show that in face-selective regions, but not primary visual cortex, pRFs and overall visual field coverage are smaller and shifted downward in response to face inversion. From these measurements, we successfully predict the relative behavioral detriment of face inversion at different positions in the visual field. This correspondence between neural measurements and behavior demonstrates how spatial processing in face-selective regions may enable holistic perception. These results not only show that spatial processing in high-level visual regions is dynamically used towards recognition, but also suggest a powerful approach for bridging neural computations by receptive fields to behavior.

Suggested Citation

  • Sonia Poltoratski & Kendrick Kay & Dawn Finzi & Kalanit Grill-Spector, 2021. "Holistic face recognition is an emergent phenomenon of spatial processing in face-selective regions," Nature Communications, Nature, vol. 12(1), pages 1-13, December.
  • Handle: RePEc:nat:natcom:v:12:y:2021:i:1:d:10.1038_s41467-021-24806-1
    DOI: 10.1038/s41467-021-24806-1
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    Cited by:

    1. Eline R. Kupers & Insub Kim & Kalanit Grill-Spector, 2024. "Rethinking simultaneous suppression in visual cortex via compressive spatiotemporal population receptive fields," Nature Communications, Nature, vol. 15(1), pages 1-19, December.

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