Integrate-and-fire Models

Integrate-and-Fire Models is a mathematical neuron model that describes the evolution of membrane potential as a passive integrator of incoming synaptic currents, differing from biophysically detailed models by simplifying spike generation to a threshold-based reset mechanism.

820

Publications

60.7K

Citations

1.8K

Authors

715

Institutions

Publications per year

2017–2026

194

Authors

1.8K

  1. WG
    Wulfram Gerstner

    École Polytechnique Fédérale de Lausanne, Switzerland

    22 publications · 3.4K citations

    19

    h-index

  2. BL
    Benjamin Lindner

    Bernstein Center for Computational Neuroscience Berlin, Germany

    22 publications · 1.1K citations

    17

    h-index

  3. AL
    André Longtin

    University of Ottawa, Canada

    15 publications · 1.3K citations

    14

    h-index

  4. JF
    Jianfeng Feng

    Fudan University, China

    15 publications · 495 citations

    13

    h-index

  5. DC
    David Cai

    Courant Institute of Mathematical Sciences, United States

    11 publications · 532 citations

    11

    h-index

1–5 of 1.8K

Venues

  1. Neural Computation

    82 publications · 7.5K citations

    45

    h-index

  2. Journal of Neurophysiology

    JN · 33 publications · 5.4K citations

    29

    h-index

  3. 28

    h-index

  4. PLoS Computational Biology

    35 publications · 2.5K citations

    23

    h-index

  5. Physical Review Letters

    PRL · 25 publications · 2.2K citations

    22

    h-index

1–5