Decoding Neural Population Dynamics

Decoding Neural Population Dynamics is a computational framework that identifies and reconstructs the evolving patterns of coordinated neural activity across populations of neurons over time, distinguishing itself from static decoding approaches by explicitly modeling the temporal dynamics and interactions within neural ensembles.

7

Publications

388

Citations

29

Authors

24

Institutions

Publications per year

2017–2026

6

Authors

29

  1. TO
    Timothy O’Leary

    University of Cambridge, United Kingdom

    2 publications · 127 citations

    2

    h-index

  2. LD
    Laura Driscoll

    Stanford University, United States

    2 publications · 127 citations

    2

    h-index

  3. CD
    Christopher D. Harvey

    Harvard University, United States

    2 publications · 127 citations

    2

    h-index

  4. DV
    Dhruva V. Raman

    University of Cambridge, United Kingdom

    2 publications · 127 citations

    2

    h-index

  5. ME
    Michael E. Rule

    University of Cambridge, United Kingdom

    2 publications · 127 citations

    2

    h-index

1–5 of 29

Venues

  1. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 1 publications · 12 citations

    1

    h-index

  2. PubMed

    Repository · 1 publications · 112 citations

    1

    h-index

  3. eLife

    1 publications · 115 citations

    1

    h-index

  4. Journal of Neurophysiology

    JN · 1 publications · 14 citations

    1

    h-index

  5. Current Biology

    1 publications · 35 citations

    1

    h-index

1–5