Closed-loop Neural Feedback

Closed-Loop Neural Feedback is a neurophysiological control paradigm that distinguishes itself from open-loop systems by enabling real-time, bidirectional interaction between a brain-computer interface and the neural substrate, wherein neural signals are continuously decoded to modulate stimuli or outputs that, in turn, directly influence subsequent neural activity.

21

Publications

1.5K

Citations

80

Authors

53

Institutions

Publications per year

2017–2026

10

Variants

Closed-loop Neurofeedback

Authors

80

  1. HS
    H. Stoeckel

    University of Bonn, Germany

    2 publications · 229 citations

    2

    h-index

  2. HS
    H. Schwilden

    Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany

    2 publications · 229 citations

    2

    h-index

  3. LZ
    Lin Zhou

    Chinese University of Hong Kong, Hong Kong SAR China

    1 publications · 22 citations

    1

    h-index

  4. DE
    David E.J. Linden

    Cardiff University, United Kingdom

    1 publications · 60 citations

    1

    h-index

  5. YS
    Yun Suen Pai

    Keio University, Japan

    1 publications · 13 citations

    1

    h-index

1–5 of 80

Venues

  1. 2

    h-index

  2. Anesthesiology

    2 publications · 229 citations

    2

    h-index

  3. Frontiers in Systems Neuroscience

    1 publications · 40 citations

    1

    h-index

  4. PLoS Computational Biology

    1 publications · 33 citations

    1

    h-index

  5. Journal of Neural Engineering

    1 publications · 637 citations

    1

    h-index

1–5