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
Parents
481
Tracking Whole-Brain Connectivity Dynamics in the Resting State
Elena A. Allen, Eswar Damaraju, Sergey Plis et al. · Cerebral Cortex · 2012 · 3.2K citations · Full text
Controllability of structural brain networks
Shi Gu, Fabio Pasqualetti, Matthew Cieslak et al. · Nature Communications · 2015 · 973 citations · Full text
Time-resolved resting-state brain networks
Andrew Zalesky, Alex Fornito, Luca Cocchi et al. · Proceedings of the National Academy of Sciences · 2014 · 838 citations · Full text
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807
Harvard University
Cambridge, United States
21 h-index
47 publications
3.9K citations
University of Oxford
Oxford, United Kingdom
19 h-index
61 publications
12.3K citations
Inserm
Paris, France
18 h-index
51 publications
6.5K citations
University of Geneva
Geneva, Switzerland
17 h-index
73 publications
3.4K citations
École Polytechnique Fédérale de Lausanne
Lausanne, Switzerland
16 h-index
37 publications
3.5K citations

Centre National de la Recherche Scientifique
Paris, France
15 h-index
29 publications
3.2K citations

Universitat Pompeu Fabra
Barcelona, Spain
14 h-index
32 publications
3.3K citations
University of Pennsylvania
Philadelphia, United States
14 h-index
56 publications
11.6K citations
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31 publications · 2.7K citations
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16 publications · 2.1K citations
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14 publications · 553 citations
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NetNeuro · 13 publications · 657 citations
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13 publications · 4K citations
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