Visual Object Representation

Visual Object Representation is a neural representation that encodes the perceptual and semantic features of visually observed entities, distinguishing itself by capturing invariant and viewpoint-independent properties of objects to enable recognition, categorization, and understanding within a cognitive or artificial vision system.

930

Publications

111.4K

Citations

2.2K

Authors

724

Institutions

Publications per year

2017–2026

224

Authors

2.2K

  1. NK
    Nikolaus Kriegeskorte

    MRC Cognition and Brain Sciences Unit, United Kingdom

    14 publications · 4.5K citations

    14

    h-index

  2. YX
    Yaoda Xu

    Yale University, United States

    14 publications · 924 citations

    13

    h-index

  3. TA
    Thomas A. Carlson

    Oak Ridge National Laboratory, United States

    11 publications · 1.3K citations

    11

    h-index

  4. CI
    Chris I. Baker

    National Institute of Mental Health, United States

    11 publications · 979 citations

    11

    h-index

  5. RM
    Radoslaw Martin Cichy

    Freie Universität Berlin, Germany

    12 publications · 1.7K citations

    11

    h-index

1–5 of 2.2K

Venues

  1. Journal of Neuroscience

    40 publications · 4.5K citations

    32

    h-index

  2. Journal of Cognitive Neuroscience

    36 publications · 3.5K citations

    28

    h-index

  3. Cerebral Cortex

    27 publications · 3.5K citations

    25

    h-index

  4. Journal of Vision

    29 publications · 2.1K citations

    20

    h-index

  5. arXiv (Cornell University)

    Repository · 31 publications · 1.3K citations

    20

    h-index

1–5