Intracortical Brain-computer Interfaces

Intracortical Brain-Computer Interfaces is a type of brain-computer interface that directly records neural signals from within the cerebral cortex using implanted microelectrodes, enabling high-resolution detection of action potentials and local field potentials for precise control of external devices.

197

Publications

15.3K

Citations

883

Authors

323

Institutions

Publications per year

2017–2026

93

Variants

Intracortical Bcis

Authors

883

  1. LR
    Leigh R. Hochberg

    Massachusetts General Hospital, United States

    28 publications · 2.3K citations

    22

    h-index

  2. KV
    Krishna V. Shenoy

    Stanford University, United States

    23 publications · 2K citations

    20

    h-index

  3. JM
    Jaimie M. Henderson

    Stanford University, United States

    16 publications · 1.3K citations

    15

    h-index

  4. JL
    Jennifer L. Collinger

    University of Pittsburgh, United States

    14 publications · 710 citations

    14

    h-index

  5. SD
    Sergey D. Stavisky

    Stanford University, United States

    14 publications · 995 citations

    13

    h-index

1–5 of 883

Venues

  1. Journal of Neural Engineering

    35 publications · 4.1K citations

    29

    h-index

  2. 10

    h-index

  3. Scientific Reports

    9 publications · 710 citations

    9

    h-index

  4. Journal of Neuroscience Methods

    6 publications · 243 citations

    6

    h-index

  5. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 5 publications · 102 citations

    5

    h-index

1–5