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Representational similarity precedes category selectivity in the developing ventral visual pathway

  • Michael A Cohen
  • , Daniel D Dilks
  • , Kami Koldewyn
  • , Sarah Weigelt
  • , Jenelle Feather
  • , Alexander Je Kell
  • , Boris Keil
  • , Bruce Fischl
  • , Lilla Zöllei
  • , Lawrence Wald
  • , Rebecca Saxe
  • , Nancy Kanwisher
    • Department of Psychology and Program in Neuroscience, Amherst College
    • Emory University, GA
    • TU Dortmund University
    • Department of Life Science Engineering, Institute of Medical Physics and Radiation Protection, USA.
    • Massachusetts Institute of Technology
    • Harvard Medical School, Boston

    Allbwn ymchwil: Cyfraniad at gyfnodolynErthygladolygiad gan gymheiriaid

    110 Wedi eu Llwytho i Lawr (Pure)

    Crynodeb

    Many studies have investigated the development of face-, scene-, and body-selective regions in the ventral visual pathway. This work has primarily focused on comparing the size and univariate selectivity of these neural regions in children versus adults. In contrast, very few studies have investigated the developmental trajectory of more distributed activation patterns within and across neural regions. Here, we scanned both children (ages 5-7) and adults to test the hypothesis that distributed representational patterns arise before category selectivity (for faces, bodies, or scenes) in the ventral pathway. Consistent with this hypothesis, we found mature representational patterns in several ventral pathway regions (e.g., FFA, PPA, etc.), even in children who showed no hint of univariate selectivity. These results suggest that representational patterns emerge first in each region, perhaps forming a scaffold upon which univariate category selectivity can subsequently develop. More generally, our findings demonstrate an important dissociation between category selectivity and distributed response patterns, and raise questions about the relative roles of each in development and adult cognition.

    Iaith wreiddiolSaesneg
    Tudalennau (o-i)565-574
    Nifer y tudalennau10
    CyfnodolynNeuroimage
    Cyfrol197
    Dyddiad ar-lein cynnar8 Mai 2019
    Dynodwyr Gwrthrych Digidol (DOIs)
    StatwsCyhoeddwyd - 15 Awst 2019

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