Neural Ensemble Dynamics

Neural Ensemble Dynamics is a theoretical framework in cortical computation that characterizes the collective, time-varying activity patterns of interconnected neuronal populations as they evolve over time to encode, process, and represent information in the brain.

212

Publications

22K

Citations

773

Authors

355

Institutions

Publications per year

2017–2026

75

Authors

773

  1. DB
    Donald B. Katz

    Brandeis University, United States

    4 publications · 528 citations

    4

    h-index

  2. KV
    Krishna V. Shenoy

    Stanford University, United States

    4 publications · 582 citations

    4

    h-index

  3. TW
    Theodore W. Berger

    University of Southern California, United States

    4 publications · 235 citations

    4

    h-index

  4. AD
    A. David Redish

    University of Minnesota, United States

    4 publications · 1.2K citations

    4

    h-index

  5. RY
    Rafael Yuste

    Columbia University, United States

    4 publications · 502 citations

    4

    h-index

1–5 of 773

Venues

  1. Journal of Neuroscience

    23 publications · 6.4K citations

    21

    h-index

  2. Proceedings of the National Academy of Sciences

    PNAS · 8 publications · 1.1K citations

    8

    h-index

  3. eLife

    8 publications · 494 citations

    8

    h-index

  4. PLoS Computational Biology

    6 publications · 904 citations

    6

    h-index

  5. Physical Review E

    PRE · 6 publications · 232 citations

    6

    h-index

1–5