Functional Connectivity Modeling
Functional Connectivity Modeling is a computational framework that characterizes statistical dependencies and temporal correlations among neural activities across distinct brain regions to infer functionally relevant interactions within large-scale neural circuits.
1.4K
Publications
99K
Citations
5.7K
Authors
1.8K
Institutions
Publications per year
2017–2026
783
Parents
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University College London
London, United Kingdom
36 h-index
142 publications
19.3K citations
Yale University
New Haven, United States
35 h-index
192 publications
22.3K citations
Wellcome Centre for Human Neuroimaging
London, United Kingdom
35 h-index
101 publications
16K citations
Harvard University
Cambridge, United States
29 h-index
93 publications
6.8K citations
University of Oxford
Oxford, United Kingdom
29 h-index
119 publications
19.1K citations

Universitat Pompeu Fabra
Barcelona, Spain
28 h-index
85 publications
8.1K citations
University of New Mexico
Albuquerque, United States
28 h-index
84 publications
8.1K citations
Inserm
Paris, France
27 h-index
127 publications
9.9K citations
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244 publications · 30.9K citations
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73 publications · 6.5K citations
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24 publications · 2.4K citations
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34 publications · 1.6K citations
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28 publications · 1.7K citations
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