Synaptic Transmission Modeling

Synaptic Transmission Modeling is a computational framework that mathematically represents the dynamics of neurotransmitter release, receptor binding, and postsynaptic potential generation to simulate the functional behavior of synapses within neural circuits.

399

Publications

26K

Citations

1.1K

Authors

510

Institutions

Publications per year

2017–2026

78

Authors

1.1K

  1. TW
    Theodore W. Berger

    University of Southern California, United States

    7 publications · 126 citations

    7

    h-index

  2. TJ
    Terrence J. Sejnowski

    Salk Institute for Biological Studies, United States

    6 publications · 1.2K citations

    6

    h-index

  3. ÖB
    Özgür B. Akan

    Koç University, Türkiye

    6 publications · 214 citations

    6

    h-index

  4. JM
    Jun Ma

    Lanzhou University of Technology, China

    6 publications · 365 citations

    6

    h-index

  5. LP
    Leonid P. Savtchenko

    University College London, United Kingdom

    5 publications · 284 citations

    5

    h-index

1–5 of 1.1K

Venues

  1. Biophysical Journal

    29 publications · 2.3K citations

    25

    h-index

  2. Journal of Neurophysiology

    JN · 21 publications · 2K citations

    18

    h-index

  3. Neural Computation

    20 publications · 2.8K citations

    16

    h-index

  4. Journal of Neuroscience

    15 publications · 1.8K citations

    15

    h-index

  5. Biological Cybernetics

    14 publications · 454 citations

    13

    h-index

1–5