Large-scale Network Dynamics

Large-Scale Network Dynamics is a theoretical framework in computational neuroscience that characterizes the emergent spatiotemporal patterns of neural activity across distributed brain regions within large-scale neurobiological networks.

481

Publications

43.3K

Citations

1.9K

Authors

807

Institutions

Publications per year

2017–2026

225

Authors

1.9K

  1. VJ
    Viktor Jirsa

    Institut de Neurosciences des Systèmes, France

    15 publications · 1.5K citations

    15

    h-index

  2. AR
    Anthony R. McIntosh

    Baycrest Hospital, Canada

    11 publications · 811 citations

    11

    h-index

  3. DS
    Danielle S. Bassett

    University of Pennsylvania, United States

    11 publications · 3K citations

    11

    h-index

  4. GD
    Gustavo Deco

    Universitat Pompeu Fabra, Spain

    10 publications · 1.7K citations

    10

    h-index

  5. MW
    Mark W. Woolrich

    University of Oxford, United Kingdom

    10 publications · 2.3K citations

    10

    h-index

1–5 of 1.9K

Venues

  1. NeuroImage

    31 publications · 2.7K citations

    25

    h-index

  2. PLoS Computational Biology

    16 publications · 2.1K citations

    16

    h-index

  3. Scientific Reports

    14 publications · 553 citations

    14

    h-index

  4. Network Neuroscience

    NetNeuro · 13 publications · 657 citations

    13

    h-index

  5. Cerebral Cortex

    13 publications · 4K citations

    13

    h-index

1–5