Forward Model Updating

Forward Model Updating is a computational mechanism within sensorimotor adaptation that refers to the process of adjusting internal models to predict the sensory consequences of motor commands by integrating discrepancies between predicted and actual sensory feedback.

101

Publications

10.9K

Citations

333

Authors

192

Institutions

Publications per year

2017–2026

40

Authors

333

  1. JW
    John W. Krakauer

    Johns Hopkins University, United States

    4 publications · 1.1K citations

    4

    h-index

  2. JA
    Jordan A. Taylor

    Princeton University, United States

    3 publications · 1.1K citations

    3

    h-index

  3. AH
    Andreas H. Hielscher

    Columbia University, United States

    2 publications · 252 citations

    2

    h-index

  4. LS
    Lambros S. Katafygiotis

    Hong Kong University of Science and Technology, Hong Kong SAR China

    2 publications · 155 citations

    2

    h-index

  5. CP
    Costas Papadimitriou

    University of Thessaly, Greece

    2 publications · 155 citations

    2

    h-index

1–5 of 333

Venues

  1. Mechanical Systems and Signal Processing

    MSSP · 8 publications · 346 citations

    8

    h-index

  2. Engineering Structures

    6 publications · 439 citations

    6

    h-index

  3. Journal of Sound and Vibration

    JSV · 4 publications · 1.8K citations

    4

    h-index

  4. Journal of Neuroscience

    3 publications · 1.2K citations

    3

    h-index

  5. Journal of Civil Structural Health Monitoring

    3 publications · 55 citations

    3

    h-index

1–5