Biophysical Parameter Inference

Biophysical Parameter Inference is a computational framework within computational neurobiophysics that enables the estimation of underlying physiological and molecular properties of neural systems from indirect experimental measurements by integrating biophysical models with statistical inference techniques.

48

Publications

2.4K

Citations

154

Authors

103

Institutions

Publications per year

2017–2026

23

Authors

154

  1. KÖ
    Kaan Öcal

    Center of Advanced European Studies and Research, Germany

    4 publications · 454 citations

    4

    h-index

  2. GB
    Giacomo Bassetto

    Center of Advanced European Studies and Research, Germany

    4 publications · 454 citations

    4

    h-index

  3. JL
    Jan-Matthis Lueckmann

    Center of Advanced European Studies and Research, Germany

    4 publications · 454 citations

    4

    h-index

  4. MN
    Marcel Nonnenmacher

    Center of Advanced European Studies and Research, Germany

    4 publications · 454 citations

    4

    h-index

  5. PJ
    Pedro J. Gonçalves

    Center of Advanced European Studies and Research, Germany

    4 publications · 454 citations

    4

    h-index

1–5 of 154

Venues

  1. PLoS Computational Biology

    4 publications · 174 citations

    4

    h-index

  2. NeuroImage

    3 publications · 186 citations

    3

    h-index

  3. Physical review. E

    PRE · 2 publications · 49 citations

    2

    h-index

  4. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 2 publications · 45 citations

    2

    h-index

  5. Journal of Computational Neuroscience

    2 publications · 52 citations

    2

    h-index

1–5