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Development differentially sculpts receptive fields across early and high-level human visual cortex

Author

Listed:
  • Jesse Gomez

    (Stanford University School of Medicine)

  • Vaidehi Natu

    (Stanford University)

  • Brianna Jeska

    (Stanford University)

  • Michael Barnett

    (Stanford University)

  • Kalanit Grill-Spector

    (Stanford University School of Medicine
    Stanford University
    Stanford University)

Abstract

Receptive fields (RFs) processing information in restricted parts of the visual field are a key property of visual system neurons. However, how RFs develop in humans is unknown. Using fMRI and population receptive field (pRF) modeling in children and adults, we determine where and how pRFs develop across the ventral visual stream. Here we report that pRF properties in visual field maps, from the first visual area, V1, through the first ventro-occipital area, VO1, are adult-like by age 5. However, pRF properties in face-selective and character-selective regions develop into adulthood, increasing the foveal coverage bias for faces in the right hemisphere and words in the left hemisphere. Eye-tracking indicates that pRF changes are related to changing fixation patterns on words and faces across development. These findings suggest a link between face and word viewing behavior and the differential development of pRFs across visual cortex, potentially due to competition on foveal coverage.

Suggested Citation

  • Jesse Gomez & Vaidehi Natu & Brianna Jeska & Michael Barnett & Kalanit Grill-Spector, 2018. "Development differentially sculpts receptive fields across early and high-level human visual cortex," Nature Communications, Nature, vol. 9(1), pages 1-12, December.
    • Handle: RePEc:nat:natcom:v:9:y:2018:i:1:d:10.1038_s41467-018-03166-3
    DOI: 10.1038/s41467-018-03166-3
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    Cited by:

    1. Marisa Nordt & Jesse Gomez & Vaidehi S. Natu & Alex A. Rezai & Dawn Finzi & Holly Kular & Kalanit Grill-Spector, 2023. "Longitudinal development of category representations in ventral temporal cortex predicts word and face recognition," Nature Communications, Nature, vol. 14(1), pages 1-16, December.

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