Neural Coding Theory

Neural Coding Theory is a theoretical framework within neuroscience that specifies how neurons represent and transmit information through patterns of electrical and biochemical activity, distinguished by its focus on the principles and mechanisms underlying the transformation of stimuli into neural representations.

588

Publications

72.6K

Citations

1.3K

Authors

557

Institutions

Publications per year

2017–2026

155

Authors

1.3K

  1. MJ
    Maurice J. Chacron

    McGill University, Canada

    15 publications · 599 citations

    15

    h-index

  2. SP
    Stefano Panzeri

    Italian Institute of Technology, Italy

    11 publications · 933 citations

    10

    h-index

  3. RW
    Rubin Wang

    East China University of Science and Technology, China

    9 publications · 322 citations

    9

    h-index

  4. MS
    Michael Spratling

    King's College London, United Kingdom

    7 publications · 599 citations

    7

    h-index

  5. WB
    William Bialek

    Princeton University, United States

    7 publications · 1.1K citations

    7

    h-index

1–5 of 1.3K

Venues

  1. Journal of Neuroscience

    40 publications · 3.5K citations

    31

    h-index

  2. Network Computation in Neural Systems

    32 publications · 3K citations

    24

    h-index

  3. Journal of Neurophysiology

    JN · 24 publications · 2.1K citations

    20

    h-index

  4. Neural Computation

    28 publications · 3.4K citations

    20

    h-index

  5. Proceedings of the National Academy of Sciences

    PNAS · 15 publications · 1.6K citations

    14

    h-index

1–5