Firing Rate Models

Firing Rate Models is a class of neural models that abstracts the activity of a neuron or neural population into a continuous variable representing the number of action potentials per unit time, distinguishing it from spiking models by focusing on average firing rates rather than discrete spike timings.

206

Publications

14.9K

Citations

509

Authors

281

Institutions

Publications per year

2017–2026

42

Variants

Rate ModelsRate-based Models

Authors

509

  1. SC
    Stephen Coombes

    University of Nottingham, United Kingdom

    7 publications · 399 citations

    7

    h-index

  2. JR
    John Rinzel

    New York University, United States

    6 publications · 344 citations

    6

    h-index

  3. GT
    Gaute T. Einevoll

    Norwegian University of Life Sciences, Norway

    5 publications · 94 citations

    5

    h-index

  4. LF
    L. F. Abbott

    Brandeis University, United States

    4 publications · 651 citations

    4

    h-index

  5. HS
    Haim Sompolinsky

    Hebrew University of Jerusalem, Israel

    4 publications · 346 citations

    4

    h-index

1–5 of 509

Venues

  1. Neural Computation

    17 publications · 1.4K citations

    15

    h-index

  2. Journal of Neurophysiology

    JN · 15 publications · 1.1K citations

    14

    h-index

  3. Journal of Neuroscience

    13 publications · 2.1K citations

    13

    h-index

  4. Network Computation in Neural Systems

    8 publications · 444 citations

    8

    h-index

  5. Frontiers in Computational Neuroscience

    8 publications · 277 citations

    8

    h-index

1–5