Neural Coding

Neural Coding is a theoretical and analytical framework in computational and systems neuroscience that characterizes how information about external or internal variables is represented and transformed by patterns of activity in single neurons and neural populations, specifying the mapping between stimuli or cognitive states and neural responses.

3.1K

Publications

312.2K

Citations

7.4K

Authors

1.7K

Institutions

Publications per year

2017–2026

1K

Authors

7.4K

  1. SP
    Stefano Panzeri

    Italian Institute of Technology, Italy

    48 publications · 5.9K citations

    32

    h-index

  2. ET
    Edmund T. Rolls

    University of Oxford, United Kingdom

    23 publications · 3.1K citations

    21

    h-index

  3. WB
    William Bialek

    Princeton University, United States

    23 publications · 6K citations

    21

    h-index

  4. AN
    Andreas Nieder

    University of Tübingen, Germany

    22 publications · 2.1K citations

    20

    h-index

  5. MJ
    Maurice J. Chacron

    McGill University, Canada

    20 publications · 976 citations

    18

    h-index

1–5 of 7.4K

Venues

  1. Journal of Neuroscience

    202 publications · 28.6K citations

    92

    h-index

  2. Neuron

    101 publications · 19.8K citations

    73

    h-index

  3. Proceedings of the National Academy of Sciences

    PNAS · 107 publications · 15.2K citations

    59

    h-index

  4. Nature Neuroscience

    67 publications · 14.5K citations

    59

    h-index

  5. Journal of Neurophysiology

    JN · 120 publications · 12.2K citations

    57

    h-index

1–5