Sensorimotor Control Models

Sensorimotor Control Models is a class of computational frameworks within cognitive modeling that formally characterizes the mechanisms by which sensory inputs are transformed into motor outputs through integrated feedback and feedforward processes to achieve goal-directed behavior.

254

Publications

23.9K

Citations

692

Authors

326

Institutions

Publications per year

2017–2026

66

Authors

692

  1. DM
    Daniel M. Wolpert

    University of Cambridge, United Kingdom

    12 publications · 7.5K citations

    11

    h-index

  2. DA
    Daniel A. Braun

    University of Cambridge, United Kingdom

    5 publications · 950 citations

    5

    h-index

  3. JC
    John C. Doyle

    California Institute of Technology, United States

    5 publications · 83 citations

    5

    h-index

  4. KP
    Konrad P. Körding

    Northwestern University, United States

    5 publications · 2.4K citations

    5

    h-index

  5. LP
    Luka Peternel

    Italian Institute of Technology, Italy

    4 publications · 304 citations

    4

    h-index

1–5 of 692

Venues

  1. PLoS Computational Biology

    12 publications · 533 citations

    11

    h-index

  2. Adaptive Behavior

    8 publications · 270 citations

    8

    h-index

  3. Neural Computation

    8 publications · 1.6K citations

    8

    h-index

  4. Journal of Neuroscience

    7 publications · 1.1K citations

    7

    h-index

  5. Journal of Neurophysiology

    JN · 7 publications · 450 citations

    7

    h-index

1–5