Multiscale Brain Modeling

Multiscale Brain Modeling is a computational framework that integrates neurobiological data and principles across spatial and temporal scales—from molecular and cellular levels to circuits and whole-brain networks—to construct unified models that capture the hierarchical organization and emergent dynamics of the nervous system.

132

Publications

7.5K

Citations

671

Authors

374

Institutions

Publications per year

2017–2026

85

Authors

671

  1. WW
    William W. Lytton

    SUNY Downstate Health Sciences University, United States

    6 publications · 220 citations

    7

    h-index

  2. GD
    Gustavo Deco

    Universitat Pompeu Fabra, Spain

    6 publications · 483 citations

    6

    h-index

  3. VJ
    Viktor Jirsa

    Institut de Neurosciences des Systèmes, France

    5 publications · 466 citations

    5

    h-index

  4. SG
    Satrajit Ghosh

    Massachusetts Institute of Technology, United States

    4 publications · 208 citations

    5

    h-index

  5. SD
    Salvador Durá-Bernal

    SUNY Downstate Health Sciences University, United States

    4 publications · 173 citations

    5

    h-index

1–5 of 671

Venues

  1. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 8 publications · 153 citations

    10

    h-index

  2. Neuron

    7 publications · 1.6K citations

    7

    h-index

  3. NeuroImage

    6 publications · 306 citations

    6

    h-index

  4. Frontiers in Neuroinformatics

    6 publications · 305 citations

    6

    h-index

  5. Journal of Neural Engineering

    3 publications · 88 citations

    3

    h-index

1–5