Computational Models Of Sensory Processing

Computational Models of Sensory Processing is a computational framework that formally characterizes how sensory inputs are transformed and interpreted by neural systems through algorithmic and mathematical representations of perceptual mechanisms.

432

Publications

39.7K

Citations

917

Authors

401

Institutions

Publications per year

2017–2026

74

Authors

917

  1. TP
    Tomaso Poggio

    Massachusetts Institute of Technology, United States

    7 publications · 863 citations

    7

    h-index

  2. HS
    Haim Sompolinsky

    Hebrew University of Jerusalem, Israel

    5 publications · 1K citations

    5

    h-index

  3. MT
    Michel Treisman

    University of Oxford, United Kingdom

    4 publications · 410 citations

    4

    h-index

  4. KF
    Karl Friston

    University College London, United Kingdom

    4 publications · 2.5K citations

    4

    h-index

  5. ME
    Mathew E. Diamond

    Scuola Internazionale Superiore di Studi Avanzati, Italy

    3 publications · 83 citations

    3

    h-index

1–5 of 917

Venues

  1. Neural Computation

    11 publications · 658 citations

    11

    h-index

  2. Psychological Review

    11 publications · 927 citations

    11

    h-index

  3. Journal of Computational Neuroscience

    10 publications · 282 citations

    10

    h-index

  4. Journal of Mathematical Psychology

    10 publications · 6.3K citations

    10

    h-index

  5. Food Quality and Preference

    9 publications · 399 citations

    9

    h-index

1–5