Proprioceptive Learning

Proprioceptive Learning is a computational framework within embodied cognition that enables adaptive motor control by iteratively refining internal models of body dynamics through sensory feedback derived from self-generated movements.

77

Publications

5.9K

Citations

213

Authors

136

Institutions

Publications per year

2017–2026

19

Authors

213

  1. JK
    Jürgen Konczak

    University of Minnesota, United States

    4 publications · 160 citations

    4

    h-index

  2. LM
    Lorenzo Masia

    Italian Institute of Technology, Italy

    3 publications · 127 citations

    3

    h-index

  3. RS
    Reza Shadmehr

    Johns Hopkins University, United States

    3 publications · 1.5K citations

    3

    h-index

  4. AV
    Anna Vera Cuppone

    Italian Institute of Technology, Italy

    3 publications · 123 citations

    3

    h-index

  5. AC
    Angelo Cangelosi

    University of Plymouth, United Kingdom

    2 publications · 48 citations

    2

    h-index

1–5 of 213

Venues

  1. Experimental Brain Research

    5 publications · 339 citations

    5

    h-index

  2. Journal of Neurophysiology

    JN · 5 publications · 519 citations

    4

    h-index

  3. Scientific Reports

    4 publications · 99 citations

    4

    h-index

  4. Biological Cybernetics

    3 publications · 591 citations

    3

    h-index

  5. British Journal of Psychology

    2 publications · 62 citations

    2

    h-index

1–5