Firing Pattern Classification

Firing Pattern Classification is a computational framework that categorizes distinct temporal sequences of action potentials generated by neurons based on characteristic features such as frequency, regularity, and burst structure, thereby differentiating neuronal response types according to their dynamic spiking behaviors.

33

Publications

1.7K

Citations

112

Authors

48

Institutions

Publications per year

2017–2026

4

Authors

112

  1. SS
    Shigeru Shinomoto

    Kyoto University, Japan

    2 publications · 72 citations

    2

    h-index

  2. SA
    Steen Andreassen

    Aalborg University, Denmark

    2 publications · 51 citations

    2

    h-index

  3. MB
    Martin Bak

    Odense University Hospital, Denmark

    1 publications · 38 citations

    1

    h-index

  4. RW
    Robert W. McCarley

    Harvard University, United States

    1 publications · 26 citations

    1

    h-index

  5. GF
    Giuseppe Ferraro

    University of Palermo, Italy

    1 publications · 19 citations

    1

    h-index

1–5 of 112

Venues

  1. Journal of Neurophysiology

    JN · 8 publications · 556 citations

    8

    h-index

  2. Scientific Reports

    3 publications · 95 citations

    3

    h-index

  3. European Journal of Neuroscience

    EJN · 2 publications · 38 citations

    2

    h-index

  4. The Journal of Physiology

    2 publications · 69 citations

    2

    h-index

  5. Journal of Neuroscience Methods

    1 publications · 17 citations

    1

    h-index

1–5