Brain-computer Interface Stimulation

Brain-Computer Interface Stimulation is a neurostimulation method that directly modulates neural activity through real-time, bidirectional communication between the brain and an external computing system, distinguishing itself from other neurostimulation techniques by its reliance on adaptive, closed-loop feedback derived from decoded neural signals to guide stimulation parameters.

117

Publications

5.7K

Citations

600

Authors

260

Institutions

Publications per year

2017–2026

68

Authors

600

  1. BL
    Byoung‐Hee Lee

    Sahmyook University, South Korea

    5 publications · 247 citations

    5

    h-index

  2. XG
    Xiaorong Gao

    Tsinghua University, China

    4 publications · 135 citations

    4

    h-index

  3. JU
    Junichi Ushiba

    Keio University, Japan

    4 publications · 232 citations

    4

    h-index

  4. CG
    Cuntai Guan

    Institute for Infocomm Research, Singapore

    4 publications · 292 citations

    4

    h-index

  5. CB
    Chad Bouton

    Feinstein Institute for Medical Research, United States

    3 publications · 103 citations

    3

    h-index

1–5 of 600

Venues

  1. Journal of Neural Engineering

    8 publications · 388 citations

    8

    h-index

  2. Frontiers in Neuroscience

    7 publications · 924 citations

    7

    h-index

  3. 6

    h-index

  4. PLoS ONE

    6 publications · 622 citations

    6

    h-index

  5. Journal of NeuroEngineering and Rehabilitation

    JNER · 5 publications · 239 citations

    5

    h-index

1–5