Decoding From Neural Activity

Decoding From Neural Activity is a computational method in neuroscience that identifies and reconstructs external stimuli or behavioral variables from recorded patterns of neuronal firing.

554

Publications

50K

Citations

1.9K

Authors

654

Institutions

Publications per year

2017–2026

243

Authors

1.9K

  1. JH
    John­–Dylan Haynes

    Bernstein Center for Computational Neuroscience Berlin, Germany

    9 publications · 944 citations

    9

    h-index

  2. MV
    Marcel van Gerven

    Radboud University Nijmegen, Netherlands

    7 publications · 425 citations

    7

    h-index

  3. YK
    Yukiyasu Kamitani

    Kyoto University, Japan

    7 publications · 3.3K citations

    7

    h-index

  4. KV
    Krishna V. Shenoy

    Stanford University, United States

    7 publications · 609 citations

    7

    h-index

  5. LP
    Liam Paninski

    Columbia University, United States

    6 publications · 453 citations

    6

    h-index

1–5 of 1.9K

Venues

  1. NeuroImage

    71 publications · 4.8K citations

    41

    h-index

  2. Journal of Neuroscience

    22 publications · 2.6K citations

    19

    h-index

  3. Journal of Neural Engineering

    19 publications · 621 citations

    15

    h-index

  4. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 27 publications · 589 citations

    15

    h-index

  5. Cerebral Cortex

    13 publications · 3K citations

    13

    h-index

1–5