Global Scene Processing

Global Scene Processing is a cognitive mechanism that enables the rapid extraction and integration of holistic, context-based information from a visual scene to support scene categorization and spatial understanding, distinguishing it from local or object-specific processing by prioritizing overall scene layout and environmental semantics.

68

Publications

5.4K

Citations

206

Authors

124

Institutions

Publications per year

2017–2026

18

Authors

206

  1. LM
    Laurent Mottron

    Université de Montréal, Canada

    3 publications · 178 citations

    3

    h-index

  2. MR
    Michelle R. Greene

    Stanford University, United States

    3 publications · 106 citations

    3

    h-index

  3. AH
    Assaf Harel

    Hebrew University of Jerusalem, Israel

    3 publications · 125 citations

    3

    h-index

  4. HB
    HH Bülthoff

    Max Planck Institute for Biological Cybernetics, Germany

    3 publications · 120 citations

    3

    h-index

  5. BN
    Birken Noesen

    Wright State University, United States

    2 publications · 45 citations

    2

    h-index

1–5 of 206

Venues

  1. Journal of Vision

    7 publications · 290 citations

    7

    h-index

  2. Neuropsychologia

    6 publications · 233 citations

    6

    h-index

  3. Journal of Autism and Developmental Disorders

    5 publications · 521 citations

    5

    h-index

  4. Acta Psychologica

    3 publications · 75 citations

    3

    h-index

  5. Frontiers in Psychology

    3 publications · 52 citations

    3

    h-index

1–5