Multisensory Object Recognition

Multisensory Object Recognition is a cognitive and computational process that integrates information from multiple sensory modalities to form a unified perceptual representation of an object, distinguished from unimodal recognition by its reliance on cross-modal convergence to enhance accuracy, robustness, and contextual adaptability in object identification.

38

Publications

2.8K

Citations

116

Authors

61

Institutions

Publications per year

2017–2026

10

Authors

116

  1. FN
    Fiona N. Newell

    Trinity College Dublin, Ireland

    3 publications · 94 citations

    3

    h-index

  2. MG
    Malik Ghallab

    Laboratoire d'Analyse et d'Architecture des Systèmes, France

    2 publications · 32 citations

    2

    h-index

  3. KS
    K. Sathian

    Emory University, United States

    2 publications · 98 citations

    2

    h-index

  4. CB
    Chiara Baxt

    University of Pennsylvania, United States

    2 publications · 135 citations

    2

    h-index

  5. PG
    Philippe Grandjean

    University of Southern Denmark, Denmark

    2 publications · 32 citations

    2

    h-index

1–5 of 116

Venues

  1. Journal of Neuroscience

    2 publications · 167 citations

    2

    h-index

  2. 2

    h-index

  3. Child Neuropsychology

    1 publications · 17 citations

    1

    h-index

  4. 1

    h-index

  5. Cognition

    1 publications · 43 citations

    1

    h-index

1–5