Spike Sorting For Decoding

Spike Sorting for Decoding is a computational method in neural signal processing that distinguishes individual neuronal action potentials from multiunit recordings to enable accurate mapping of neural activity patterns into interpretable behavioral or cognitive states.

16

Publications

1.6K

Citations

86

Authors

52

Institutions

Publications per year

2017–2026

1

Authors

86

  1. DF
    Dan F. M. Goodman

    Centre National de la Recherche Scientifique, France

    2 publications · 905 citations

    2

    h-index

  2. KD
    Kenneth D. Harris

    University College London, United Kingdom

    2 publications · 905 citations

    2

    h-index

  3. ST
    Sonia Todorova

    Center for the Neural Basis of Cognition, United States

    2 publications · 133 citations

    2

    h-index

  4. JS
    John Schulman

    NYU Langone Health, United States

    2 publications · 905 citations

    2

    h-index

  5. GB
    György Buzsáki

    Rutgers, The State University of New Jersey, United States

    2 publications · 905 citations

    2

    h-index

1–5 of 86

Venues

  1. Journal of Neural Engineering

    3 publications · 167 citations

    3

    h-index

  2. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 1 publications · 28 citations

    1

    h-index

  3. IEEE Signal Processing Magazine

    1 publications · 191 citations

    1

    h-index

  4. Nature Neuroscience

    1 publications · 877 citations

    1

    h-index

  5. European Journal of Neuroscience

    EJN · 1 publications · 19 citations

    1

    h-index

1–5