Bidirectional Brain-computer Interfaces

Bidirectional Brain-Computer Interfaces is a neural control system that enables real-time, two-way communication between the brain and an external device by simultaneously decoding neural signals to generate outputs and encoding sensory feedback to stimulate neural activity.

24

Publications

1.4K

Citations

97

Authors

57

Institutions

Publications per year

2017–2026

13

Variants

Closed-loop Brain-computer Interfaces

Authors

97

  1. JM
    Jeffrey M. Weiss

    University of Pittsburgh, United States

    6 publications · 809 citations

    6

    h-index

  2. RA
    Robert A. Gaunt

    University of Pittsburgh, United States

    6 publications · 809 citations

    6

    h-index

  3. JL
    Jennifer L. Collinger

    University of Pittsburgh, United States

    6 publications · 809 citations

    6

    h-index

  4. SN
    Sharlene N. Flesher

    University of Pittsburgh, United States

    6 publications · 809 citations

    6

    h-index

  5. CH
    Christopher Hughes

    University of Pittsburgh, United States

    5 publications · 749 citations

    5

    h-index

1–5 of 97

Venues

  1. Frontiers in Neuroscience

    3 publications · 161 citations

    3

    h-index

  2. Journal of Neural Engineering

    2 publications · 92 citations

    2

    h-index

  3. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 2 publications · 50 citations

    2

    h-index

  4. PLoS Computational Biology

    1 publications · 11 citations

    1

    h-index

  5. AI & Society

    1 publications · 24 citations

    1

    h-index

1–5