Single-neuron Decoding

Single-Neuron Decoding is a neural decoding method that identifies and interprets the functional relationship between individual neuronal spiking activity and specific sensory, cognitive, or behavioral variables through statistical or machine learning models.

47

Publications

3.5K

Citations

176

Authors

101

Institutions

Publications per year

2017–2026

15

Authors

176

  1. FM
    Florian Mormann

    University of Bonn, Germany

    3 publications · 292 citations

    3

    h-index

  2. CE
    Christian E. Elger

    University of Bonn, Germany

    3 publications · 292 citations

    3

    h-index

  3. UR
    Ueli Rutishauser

    Cedars-Sinai Medical Center, United States

    2 publications · 90 citations

    2

    h-index

  4. ML
    Micaela Liberti

    Sapienza University of Rome, Italy

    2 publications · 43 citations

    2

    h-index

  5. FC
    Francesca Camera

    Sapienza University of Rome, Italy

    2 publications · 43 citations

    2

    h-index

1–5 of 176

Venues

  1. Journal of Neuroscience

    10 publications · 910 citations

    10

    h-index

  2. Nature Communications

    5 publications · 304 citations

    5

    h-index

  3. Journal of Neurophysiology

    JN · 4 publications · 184 citations

    4

    h-index

  4. Neural Computation

    4 publications · 498 citations

    4

    h-index

  5. Neurocomputing

    3 publications · 71 citations

    3

    h-index

1–5