Adaptive Neurostimulation

Adaptive Neurostimulation is a closed-loop neuromodulation technique that dynamically adjusts stimulation parameters in real time based on ongoing neural activity or physiological biomarkers, distinguishing it from open-loop neurostimulation by its feedback-driven, responsive control mechanism.

51

Publications

2.5K

Citations

312

Authors

158

Institutions

Publications per year

2017–2026

38

Variants

Closed-loop Neuromodulation

Authors

312

  1. SL
    Simon Little

    University of California, San Francisco, United States

    7 publications · 818 citations

    9

    h-index

  2. TD
    Timothy Denison

    University of Oxford, United Kingdom

    4 publications · 253 citations

    5

    h-index

  3. PA
    Philip A. Starr

    University of California, San Francisco, United States

    4 publications · 253 citations

    4

    h-index

  4. SA
    Sameer A. Sheth

    Baylor College of Medicine, United States

    3 publications · 197 citations

    3

    h-index

  5. GC
    Guy Carrault

    Laboratoire Traitement du Signal et de l'Image, France

    3 publications · 106 citations

    3

    h-index

1–5 of 312

Venues

  1. Frontiers in Human Neuroscience

    4 publications · 168 citations

    4

    h-index

  2. Frontiers in Neuroscience

    4 publications · 170 citations

    4

    h-index

  3. Journal of Neural Engineering

    3 publications · 87 citations

    3

    h-index

  4. IEEE Transactions on Biomedical Engineering

    3 publications · 131 citations

    3

    h-index

  5. Pain Physician

    2 publications · 243 citations

    2

    h-index

1–5