Neural Signal Encoding

Neural Signal Encoding is a computational framework that characterizes how neural activity patterns are systematically transformed into representational formats that convey sensory, motor, or cognitive information within neural systems.

916

Publications

79.1K

Citations

3.1K

Authors

934

Institutions

Publications per year

2017–2026

370

Authors

3.1K

  1. ND
    Nai Ding

    Zhejiang University, China

    8 publications · 1.7K citations

    8

    h-index

  2. RA
    Richard A. Andersen

    California Institute of Technology, United States

    8 publications · 1.2K citations

    8

    h-index

  3. SP
    Stefano Panzeri

    Italian Institute of Technology, Italy

    8 publications · 799 citations

    8

    h-index

  4. MJ
    Maurice J. Chacron

    McGill University, Canada

    7 publications · 329 citations

    7

    h-index

  5. NK
    Nina Kraus

    Northwestern University, United States

    7 publications · 910 citations

    7

    h-index

1–5 of 3.1K

Venues

  1. Journal of Neuroscience

    64 publications · 7.3K citations

    46

    h-index

  2. NeuroImage

    67 publications · 4.4K citations

    36

    h-index

  3. Nature Communications

    24 publications · 1.5K citations

    23

    h-index

  4. Journal of Neurophysiology

    JN · 33 publications · 1.8K citations

    23

    h-index

  5. Neuron

    24 publications · 5.5K citations

    23

    h-index

1–5