Electrocorticography-based Control

Electrocorticography-Based Control is a neural control system that utilizes electrocorticographic signals—direct cortical electrical activity recorded from the surface of the brain—as the primary input modality to decode user intent and drive real-time, closed-loop interactions with external devices or therapeutic interventions.

27

Publications

2.8K

Citations

133

Authors

66

Institutions

Publications per year

2017–2026

3

Variants

Ecog-based Control

Authors

133

  1. DW
    Daniel W. Moran

    Washington University in St. Louis, United States

    5 publications · 1.1K citations

    5

    h-index

  2. AD
    Alan D. Degenhart

    University of Pittsburgh, United States

    4 publications · 509 citations

    4

    h-index

  3. KJ
    Kai J. Miller

    University of Washington, United States

    4 publications · 832 citations

    4

    h-index

  4. EC
    Elizabeth C. Tyler‐Kabara

    University of Pittsburgh, United States

    4 publications · 509 citations

    4

    h-index

  5. GS
    Gerwin Schalk

    Wadsworth Center, United States

    4 publications · 1.1K citations

    4

    h-index

1–5 of 133

Venues

  1. Journal of Neural Engineering

    7 publications · 885 citations

    7

    h-index

  2. NeuroImage

    2 publications · 192 citations

    2

    h-index

  3. 2

    h-index

  4. 1

    h-index

  5. Journal of Neuroscience Methods

    1 publications · 26 citations

    1

    h-index

1–5