Decoding-driven Stimulation

Decoding-Driven Stimulation is a closed-loop neural intervention strategy that, as a genus, employs real-time neural signal decoding to dynamically guide and personalize subsequent stimulation parameters, and, as its differentia, specifically uses decoded neural states or intent—such as motor commands, perceptual content, or pathological biomarkers—to determine the timing, location, intensity, or pattern of stimulation in an adaptive feedback loop.

2

Publications

41

Citations

4

Authors

2

Institutions

Publications per year

2017–2026

1

Authors

4

  1. BG
    Brandon G. Oberlin

    Indiana University – Purdue University Indianapolis, United States

    1 publications · 23 citations

    1

    h-index

  2. MD
    Mario Džemidžić

    Indiana University – Purdue University Indianapolis, United States

    1 publications · 23 citations

    1

    h-index

  3. WJ
    William J.A. Eiler

    Indiana University – Purdue University Indianapolis, United States

    1 publications · 23 citations

    1

    h-index

  4. DA
    David A. Kareken

    Indiana University – Purdue University Indianapolis, United States

    1 publications · 23 citations

    1

    h-index

  5. GS
    Gabrielle Strandquist

    Neurological Surgery, United States

    1 publications · 18 citations

    0

    h-index

1–5 of 4

Venues

  1. Alcoholism Clinical and Experimental Research

    ACER · 1 publications · 23 citations

    1

    h-index

  2. Nature Biomedical Engineering

    1 publications · 18 citations

1–2