Closed-loop Neural Control

Closed-Loop Neural Control is a neural control system that continuously adjusts its output based on real-time feedback from the controlled process, distinguishing itself from open-loop systems by incorporating sensory feedback to dynamically regulate neural activity or neuroprosthetic devices.

24

Publications

1.1K

Citations

128

Authors

58

Institutions

Publications per year

2017–2026

8

Authors

128

  1. SN
    Stefano Nichele

    OsloMet – Oslo Metropolitan University, Norway

    1 publications · 32 citations

    1

    h-index

  2. HM
    Hoon‐Ki Min

    Mayo Clinic, United States

    1 publications · 62 citations

    1

    h-index

  3. KW
    Kevin Warwick

    University of Reading, United Kingdom

    1 publications · 86 citations

    1

    h-index

  4. UB
    U. Bauer

    University of Bonn, Germany

    1 publications · 32 citations

    1

    h-index

  5. YZ
    Yi Zhou

    Sichuan Agricultural University, China

    1 publications · 56 citations

    1

    h-index

1–5 of 128

Venues

  1. Neural Networks

    4 publications · 406 citations

    4

    h-index

  2. Frontiers in Neuroscience

    2 publications · 77 citations

    2

    h-index

  3. Journal of Visualized Experiments

    1 publications · 13 citations

    1

    h-index

  4. Journal of Neural Engineering

    1 publications · 28 citations

    1

    h-index

  5. Journal of Automatic Control

    1 publications · 20 citations

    1

    h-index

1–5