Shape Attention

Shape Attention is a feature-based attention mechanism that selectively enhances or suppresses neural processing based on the geometric configuration of visual stimuli, distinguishing it from other attentional mechanisms by prioritizing shape-specific attributes within the hierarchy of perceptual features.

77

Publications

3.8K

Citations

200

Authors

106

Institutions

Publications per year

2017–2026

18

Authors

200

  1. JE
    John E. Hummel

    University of California, Los Angeles, United States

    4 publications · 341 citations

    4

    h-index

  2. MB
    Marlene Behrmann

    Carnegie Mellon University, United States

    3 publications · 153 citations

    3

    h-index

  3. DL
    David LaBerge

    University of California, Irvine, United States

    3 publications · 728 citations

    3

    h-index

  4. BJ
    Brian J. Stankiewicz

    The University of Texas at Austin, United States

    3 publications · 210 citations

    3

    h-index

  5. BE
    Barbara E. Lovitts

    2 publications · 45 citations

    2

    h-index

1–5 of 200

Venues

  1. 14

    h-index

  2. Visual Cognition

    4 publications · 353 citations

    4

    h-index

  3. Psychological Science

    3 publications · 169 citations

    3

    h-index

  4. Vision Research

    3 publications · 79 citations

    3

    h-index

  5. Perception & Psychophysics

    3 publications · 97 citations

    3

    h-index

1–5