Neural Population Codes

Neural Population Codes is a theoretical framework in systems neuroscience that characterizes how collective activity patterns across ensembles of neurons encode sensory, motor, or cognitive variables through distributed representational schemes distinct from single-neuron coding strategies.

526

Publications

62.9K

Citations

1.5K

Authors

546

Institutions

Publications per year

2017–2026

173

Authors

1.5K

  1. AP
    Alexandre Pouget

    University of Geneva, Switzerland

    11 publications · 1.7K citations

    10

    h-index

  2. ES
    Elad Schneidman

    Weizmann Institute of Science, Israel

    9 publications · 1.2K citations

    9

    h-index

  3. RR
    Ranulfo Romo

    Universidad Nacional Autónoma de México, Mexico

    8 publications · 1.5K citations

    8

    h-index

  4. MJ
    Michael J. Berry

    Princeton University, United States

    8 publications · 812 citations

    8

    h-index

  5. MB
    Matthias Bethge

    University of Tübingen, Germany

    8 publications · 982 citations

    8

    h-index

1–5 of 1.5K

Venues

  1. Journal of Neuroscience

    47 publications · 7.4K citations

    37

    h-index

  2. Proceedings of the National Academy of Sciences

    PNAS · 29 publications · 4.3K citations

    26

    h-index

  3. Neuron

    26 publications · 4.2K citations

    24

    h-index

  4. Journal of Neurophysiology

    JN · 28 publications · 2.7K citations

    23

    h-index

  5. Neural Computation

    29 publications · 3K citations

    23

    h-index

1–5