Synaptic Conductance Models

Synaptic Conductance Models is a computational framework in biophysical neuron modeling that describes the dynamic changes in ion channel permeability at synapses as a function of neurotransmitter release and receptor kinetics, distinguishing it from simplified current-based synaptic models by explicitly representing synaptic conductance as a time-varying conductance parameter within the neuron’s membrane equation.

110

Publications

7.6K

Citations

324

Authors

180

Institutions

Publications per year

2017–2026

22

Authors

324

  1. IS
    Idan Segev

    Hebrew University of Jerusalem, Israel

    5 publications · 243 citations

    5

    h-index

  2. TJ
    Terrence J. Sejnowski

    Salk Institute for Biological Studies, United States

    3 publications · 1.2K citations

    3

    h-index

  3. AD
    Alain Destexhe

    Centre National de la Recherche Scientifique, France

    3 publications · 1.2K citations

    3

    h-index

  4. JR
    John Rinzel

    New York University, United States

    3 publications · 90 citations

    3

    h-index

  5. DJ
    Dieter Jaeger

    Emory University, United States

    3 publications · 240 citations

    3

    h-index

1–5 of 324

Venues

  1. Journal of Neurophysiology

    JN · 14 publications · 1.1K citations

    13

    h-index

  2. Neural Computation

    9 publications · 992 citations

    9

    h-index

  3. Journal of Neuroscience

    8 publications · 658 citations

    8

    h-index

  4. PLoS Computational Biology

    5 publications · 170 citations

    5

    h-index

  5. Journal of Computational Neuroscience

    4 publications · 133 citations

    4

    h-index

1–5