Motor Intent Decoding

Motor Intent Decoding is a computational method within neural interfaces that translates neural signals associated with movement planning into actionable commands by identifying the underlying intent to move, thereby enabling direct communication between the brain and external devices.

95

Publications

6K

Citations

372

Authors

177

Institutions

Publications per year

2017–2026

41

Authors

372

  1. AR
    Ander Ramos‐Murguialday

    University of Tübingen, Germany

    5 publications · 159 citations

    5

    h-index

  2. RA
    Richard A. Andersen

    California Institute of Technology, United States

    5 publications · 900 citations

    5

    h-index

  3. LR
    Leigh R. Hochberg

    Massachusetts General Hospital, United States

    3 publications · 397 citations

    4

    h-index

  4. NB
    Niels Birbaumer

    University of Tübingen, Germany

    4 publications · 125 citations

    4

    h-index

  5. GS
    Gerwin Schalk

    Wadsworth Center, United States

    4 publications · 143 citations

    4

    h-index

1–5 of 372

Venues

  1. Frontiers in Neuroscience

    7 publications · 228 citations

    7

    h-index

  2. Journal of Neural Engineering

    5 publications · 422 citations

    5

    h-index

  3. IEEE Transactions on Biomedical Engineering

    4 publications · 497 citations

    4

    h-index

  4. Proceedings of the National Academy of Sciences

    PNAS · 4 publications · 156 citations

    4

    h-index

  5. Scientific Reports

    4 publications · 246 citations

    4

    h-index

1–5