State-space Neural Control

State-Space Neural Control is a closed-loop neural control framework that formalizes the interaction between neural population dynamics and external stimuli through a state-space representation, where the system’s evolving neurophysiological state is estimated and strategically modulated via feedback-driven control policies to achieve desired neural trajectories.

13

Publications

333

Citations

51

Authors

32

Institutions

Publications per year

2017–2026

6

Authors

51

  1. PC
    P. Carvalho

    University of Coimbra, Portugal

    2 publications · 44 citations

    2

    h-index

  2. AD
    António Dourado

    University of Coimbra, Portugal

    2 publications · 44 citations

    2

    h-index

  3. PG
    Paulo Gil

    University of Coimbra, Portugal

    2 publications · 44 citations

    2

    h-index

  4. JH
    J. Henriques

    University of Coimbra, Portugal

    2 publications · 44 citations

    2

    h-index

  5. MS
    Mirosław Szymański

    University of Zielona Góra, Poland

    1 publications · 25 citations

    1

    h-index

1–5 of 51

Venues

  1. Cognitive Neurodynamics

    1 publications · 28 citations

    1

    h-index

  2. Nature

    1 publications · 34 citations

    1

    h-index

  3. PLoS Computational Biology

    1 publications · 30 citations

    1

    h-index

  4. Journal of Neuroscience

    1 publications · 30 citations

    1

    h-index

  5. IFAC Proceedings Volumes

    1 publications · 25 citations

    1

    h-index

1–5