Neural Feedback Systems

Neural Feedback Systems is a neural control mechanism that regulates and adapts neural activity through the integration of real-time output signals re-entering the system as input to modulate subsequent processing, thereby enabling dynamic stability, error correction, and behavioral responsiveness in biological and artificial neural networks.

242

Publications

23.8K

Citations

708

Authors

320

Institutions

Publications per year

2017–2026

51

Authors

708

  1. RJ
    Robert J. Full

    University of California, Berkeley, United States

    4 publications · 569 citations

    4

    h-index

  2. ED
    Eduardo D. Sontag

    Rutgers, The State University of New Jersey, United States

    4 publications · 274 citations

    4

    h-index

  3. YW
    Y. Wang

    Michigan State University, United States

    3 publications · 96 citations

    3

    h-index

  4. NH
    Niels H. Secher

    University of Copenhagen, Denmark

    3 publications · 102 citations

    3

    h-index

  5. AM
    A.N. Michel

    University of Notre Dame, United States

    3 publications · 124 citations

    3

    h-index

1–5 of 708

Venues

  1. Journal of Neurophysiology

    JN · 7 publications · 631 citations

    7

    h-index

  2. IEEE Transactions on Neural Networks

    7 publications · 1K citations

    7

    h-index

  3. Neural Computation

    6 publications · 281 citations

    6

    h-index

  4. NeuroImage

    6 publications · 2.6K citations

    6

    h-index

  5. Journal of Neuroscience

    5 publications · 441 citations

    5

    h-index

1–5