Internal Model Adaptation

Internal Model Adaptation is a computational process within sensorimotor control systems by which the central nervous system updates its internal representations of the body and environment to accurately predict the sensory consequences of motor commands in response to changing task demands or environmental dynamics.

79

Publications

5.6K

Citations

220

Authors

121

Institutions

Publications per year

2017–2026

22

Authors

220

  1. MK
    Mitsuo Kawato

    Advanced Telecommunications Research Institute International, Japan

    5 publications · 319 citations

    5

    h-index

  2. MP
    Marimuthu Palaniswami

    The University of Melbourne, Australia

    4 publications · 94 citations

    4

    h-index

  3. HI
    Hiroshi Imamizu

    Advanced Telecommunications Research Institute International, Japan

    3 publications · 285 citations

    3

    h-index

  4. RS
    Reza Shadmehr

    Johns Hopkins University, United States

    3 publications · 1.4K citations

    3

    h-index

  5. RO
    Rieko Osu

    Advanced Telecommunications Research Institute International, Japan

    3 publications · 131 citations

    3

    h-index

1–5 of 220

Venues

  1. Journal of Neurophysiology

    JN · 7 publications · 683 citations

    6

    h-index

  2. Journal of Neuroscience

    4 publications · 1.3K citations

    4

    h-index

  3. IEEE Transactions on Automatic Control

    3 publications · 81 citations

    3

    h-index

  4. 2

    h-index

  5. arXiv (Cornell University)

    Repository · 2 publications · 162 citations

    2

    h-index

1–5