Population Coding

Population coding is a computational principle in which the collective activity pattern of a neuronal ensemble uniquely represents a specific stimulus or cognitive state, distinguishing it from alternative coding schemes by relying on distributed activity across multiple neurons rather than single-cell specificity.

964

Publications

120.3K

Citations

2.4K

Authors

748

Institutions

Publications per year

2017–2026

250

Authors

2.4K

  1. SP
    Stefano Panzeri

    Italian Institute of Technology, Italy

    20 publications · 2.4K citations

    17

    h-index

  2. MB
    Matthias Bethge

    University of Tübingen, Germany

    15 publications · 1.9K citations

    13

    h-index

  3. WB
    William Bialek

    Princeton University, United States

    12 publications · 4.7K citations

    12

    h-index

  4. MJ
    Michael J. Berry

    Princeton University, United States

    12 publications · 3K citations

    12

    h-index

  5. AP
    Alexandre Pouget

    University of Geneva, Switzerland

    13 publications · 2.7K citations

    11

    h-index

1–5 of 2.4K

Venues

  1. Journal of Neuroscience

    79 publications · 11.2K citations

    51

    h-index

  2. Neuron

    51 publications · 9.5K citations

    47

    h-index

  3. Nature Neuroscience

    38 publications · 10.1K citations

    37

    h-index

  4. Neural Computation

    57 publications · 5.9K citations

    35

    h-index

  5. Proceedings of the National Academy of Sciences

    PNAS · 36 publications · 5K citations

    32

    h-index

1–5