Closed-loop Neural Interfaces

Closed-Loop Neural Interfaces is a neural interface system that continuously monitors neural activity, processes the signals in real time, and delivers adaptive stimulation or control feedback to the nervous system based on predefined decoding algorithms, thereby forming a bidirectional communication pathway between the nervous system and an external device.

36

Publications

2K

Citations

192

Authors

80

Institutions

Publications per year

2017–2026

13

Variants

Closed-loop Neural Interface Systems

Authors

192

  1. JM
    Jose M. Carmena

    University of California, Berkeley, United States

    4 publications · 127 citations

    4

    h-index

  2. RH
    Rodolphe Héliot

    Commissariat à l'Énergie Atomique et aux Énergies Alternatives, France

    3 publications · 116 citations

    3

    h-index

  3. XL
    Xilin Liu

    University of Pennsylvania, United States

    2 publications · 92 citations

    2

    h-index

  4. HJ
    Hyunjoo J. Lee

    Korea Advanced Institute of Science and Technology, South Korea

    2 publications · 52 citations

    2

    h-index

  5. RJ
    Randolph J. Nudo

    University of Kansas Medical Center, United States

    2 publications · 29 citations

    2

    h-index

1–5 of 192

Venues

  1. IEEE Journal of Solid-State Circuits

    2 publications · 145 citations

    2

    h-index

  2. Journal of Neural Engineering

    2 publications · 224 citations

    2

    h-index

  3. 2

    h-index

  4. Frontiers in Human Neuroscience

    1 publications · 108 citations

    1

    h-index

  5. Science Translational Medicine

    STM · 1 publications · 62 citations

    1

    h-index

1–5