Neural Interfaces

Neural Interfaces is a class of neurotechnological devices and systems that establish bidirectional communication pathways between the nervous system and external electronic or computational technologies by transducing, recording, and/or modulating neural activity.

5.4K

Publications

389.5K

Citations

17.8K

Authors

3.1K

Institutions

Publications per year

2017–2026

2.5K

Authors

17.8K

  1. KV
    Krishna V. Shenoy

    Stanford University, United States

    65 publications · 8.3K citations

    40

    h-index

  2. NB
    Niels Birbaumer

    University of Tübingen, Germany

    49 publications · 12.2K citations

    37

    h-index

  3. JR
    Jonathan R. Wolpaw

    New York State Department of Health, United States

    37 publications · 14.7K citations

    32

    h-index

  4. JM
    Jose M. Carmena

    University of California, Berkeley, United States

    40 publications · 4.3K citations

    31

    h-index

  5. LR
    Leigh R. Hochberg

    Massachusetts General Hospital, United States

    45 publications · 9.6K citations

    31

    h-index

1–5 of 17.8K

Venues

  1. Journal of Neural Engineering

    334 publications · 31.5K citations

    84

    h-index

  2. 69

    h-index

  3. IEEE Transactions on Biomedical Engineering

    131 publications · 20.8K citations

    69

    h-index

  4. 51

    h-index

  5. Nature Communications

    67 publications · 9.6K citations

    49

    h-index

1–5