Neural Signal Decoding

Neural Signal Decoding is a computational method that identifies and translates neural activity patterns into meaningful output commands or representations by interpreting electrophysiological signals from the nervous system.

449

Publications

37.3K

Citations

1.7K

Authors

625

Institutions

Publications per year

2017–2026

251

Authors

1.7K

  1. KV
    Krishna V. Shenoy

    Stanford University, United States

    11 publications · 1.5K citations

    10

    h-index

  2. EF
    Edward F. Chang

    University of California, San Francisco, United States

    8 publications · 1.5K citations

    8

    h-index

  3. SI
    Stephen I. Ryu

    Stanford University, United States

    8 publications · 1.1K citations

    8

    h-index

  4. JL
    José L. Contreras-Vidal

    University of Houston, United States

    8 publications · 527 citations

    8

    h-index

  5. LP
    Liam Paninski

    Columbia University, United States

    7 publications · 246 citations

    7

    h-index

1–5 of 1.7K

Venues

  1. Journal of Neural Engineering

    42 publications · 2.9K citations

    26

    h-index

  2. NeuroImage

    27 publications · 1.7K citations

    21

    h-index

  3. 15

    h-index

  4. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 18 publications · 392 citations

    14

    h-index

  5. Scientific Reports

    13 publications · 630 citations

    13

    h-index

1–5