Neural Code Interpretation

Neural Code Interpretation is a methodological framework within computational neuroscience that deciphers the representational structure of neural activity patterns by mapping observed neural responses to their underlying cognitive, sensory, or behavioral variables through algorithmic decoding models.

54

Publications

3.7K

Citations

201

Authors

134

Institutions

Publications per year

2017–2026

25

Authors

201

  1. MJ
    Michael J. Kahana

    University of Pennsylvania, United States

    2 publications · 127 citations

    2

    h-index

  2. PC
    Peter C. Reinacher

    University Medical Center Freiburg, Germany

    2 publications · 127 citations

    2

    h-index

  3. AS
    Andreas Schulze‐Bonhage

    University Medical Center Freiburg, Germany

    2 publications · 127 citations

    2

    h-index

  4. JJ
    Joshua Jacobs

    Columbia University, United States

    2 publications · 127 citations

    2

    h-index

  5. BP
    Bernhard P. Staresina

    University of Birmingham, United Kingdom

    2 publications · 127 citations

    2

    h-index

1–5 of 201

Venues

  1. Proceedings of the National Academy of Sciences

    PNAS · 5 publications · 371 citations

    5

    h-index

  2. eLife

    3 publications · 162 citations

    3

    h-index

  3. Journal of Neuroscience

    2 publications · 313 citations

    2

    h-index

  4. NeuroImage

    2 publications · 40 citations

    2

    h-index

  5. Nature Neuroscience

    2 publications · 709 citations

    2

    h-index

1–5