Multi-compartment Neuron Models

Multi-Compartment Neuron Models is a computational framework in computational electrophysiology that represents a neuron as a collection of interconnected spatial compartments, each governed by biophysical laws of membrane dynamics, to accurately simulate the propagation and integration of electrical signals across dendritic morphologies.

142

Publications

7.2K

Citations

1K

Authors

388

Institutions

Publications per year

2017–2026

48

Authors

1K

  1. GT
    Gaute T. Einevoll

    Norwegian University of Life Sciences, Norway

    9 publications · 595 citations

    9

    h-index

  2. FK
    Frances K. Skinner

    University of Toronto, Canada

    8 publications · 269 citations

    8

    h-index

  3. JW
    Jiang Wang

    Tianjin University, China

    5 publications · 403 citations

    5

    h-index

  4. WW
    William W. Lytton

    SUNY Downstate Health Sciences University, United States

    5 publications · 220 citations

    5

    h-index

  5. XW
    Xile Wei

    Tianjin University, China

    5 publications · 403 citations

    5

    h-index

1–5 of 1K

Venues

  1. Journal of Neurophysiology

    JN · 14 publications · 920 citations

    13

    h-index

  2. PLoS Computational Biology

    9 publications · 495 citations

    9

    h-index

  3. Journal of Neural Engineering

    8 publications · 327 citations

    8

    h-index

  4. PLoS ONE

    7 publications · 142 citations

    7

    h-index

  5. Journal of Computational Neuroscience

    6 publications · 432 citations

    6

    h-index

1–5