Perturbation-based Motor Learning

Perturbation-Based Motor Learning is a methodological framework within motor adaptation research that systematically introduces controlled disruptions to movement dynamics or sensory feedback to elicit and study adaptive responses, thereby revealing the mechanisms underlying sensorimotor recalibration.

110

Publications

9.6K

Citations

259

Authors

133

Institutions

Publications per year

2017–2026

35

Authors

259

  1. AM
    Adrian M. Haith

    Johns Hopkins University, United States

    6 publications · 762 citations

    6

    h-index

  2. TJ
    Timothy J. Carroll

    The University of Queensland, Australia

    5 publications · 214 citations

    5

    h-index

  3. RS
    Reza Shadmehr

    Johns Hopkins University, United States

    5 publications · 731 citations

    5

    h-index

  4. JW
    John W. Krakauer

    Johns Hopkins University, United States

    5 publications · 618 citations

    5

    h-index

  5. DM
    Daniel M. Wolpert

    University of Cambridge, United Kingdom

    5 publications · 224 citations

    5

    h-index

1–5 of 259

Venues

  1. Journal of Neurophysiology

    JN · 37 publications · 4.3K citations

    29

    h-index

  2. Journal of Neuroscience

    10 publications · 1.4K citations

    10

    h-index

  3. Experimental Brain Research

    8 publications · 1.1K citations

    8

    h-index

  4. Scientific Reports

    5 publications · 211 citations

    5

    h-index

  5. Frontiers in Human Neuroscience

    5 publications · 239 citations

    5

    h-index

1–5