Resting Potential Modeling

Resting Potential Modeling is a computational framework within electrophysiological modeling that specifically characterizes the steady-state transmembrane voltage of excitable cells in the absence of external stimulation, distinguishing itself by quantitatively representing ionic equilibrium and membrane permeability properties underlying cellular resting states.

37

Publications

1.8K

Citations

74

Authors

41

Institutions

Publications per year

2017–2026

1

Authors

74

  1. MM
    Michihisa Miyake

    Hokkaido University, Japan

    3 publications · 89 citations

    3

    h-index

  2. SI
    Shizuo Ito

    Kumamoto University, Japan

    2 publications · 38 citations

    2

    h-index

  3. KK
    Kenzo Kurihara

    Hokkaido University, Japan

    2 publications · 57 citations

    2

    h-index

  4. ML
    Michael Levin

    Tufts University, United States

    2 publications · 149 citations

    2

    h-index

  5. JR
    James R. Wilson

    University of Colorado Boulder, United States

    1 publications · 47 citations

    1

    h-index

1–5 of 74

Venues

  1. Journal of Neurophysiology

    JN · 3 publications · 336 citations

    3

    h-index

  2. The Journal of Physiology

    3 publications · 632 citations

    3

    h-index

  3. Journal of Theoretical Biology

    2 publications · 32 citations

    2

    h-index

  4. Development Growth & Differentiation

    2 publications · 38 citations

    2

    h-index

  5. 2

    h-index

1–5