Distributed Pattern Generation

Distributed Pattern Generation is a computational framework within the study of Central Pattern Generators in which rhythmic motor patterns emerge from the coordinated activity of spatially separated neural circuits through decentralized synaptic interactions, rather than from a single localized pacemaker.

13

Publications

330

Citations

38

Authors

28

Institutions

Publications per year

2017–2026

5

Authors

38

  1. GD
    Gabriele Di Stefano

    University of L'Aquila, Italy

    1 publications · 40 citations

    1

    h-index

  2. KC
    Korhan Cengiz

    Trakya University, Türkiye

    1 publications · 20 citations

    1

    h-index

  3. JW
    Jonathan W. Mills

    Indiana University Bloomington, United States

    1 publications · 15 citations

    1

    h-index

  4. BJ
    Brian J. Norris

    Emory University, United States

    1 publications · 13 citations

    1

    h-index

  5. YS
    Yongli Song

    Tongji University, China

    1 publications · 21 citations

    1

    h-index

1–5 of 38

Venues

  1. Applied Mathematics Letters

    1 publications · 21 citations

    1

    h-index

  2. Mathematics in Computer Science

    1 publications · 24 citations

    1

    h-index

  3. Journal of Neurophysiology

    JN · 1 publications · 13 citations

    1

    h-index

  4. Distributed Computing

    1 publications · 40 citations

    1

    h-index

  5. Mathematical machines and systems

    1 publications · 19 citations

    1

    h-index

1–5