Connectome-based Modeling
Connectome-Based Modeling is a computational neuroscience framework that uses the brain's empirically derived structural connectivity—the connectome—as the foundational architecture to simulate and predict large-scale neural dynamics, thereby distinguishing it from models based on functional or theoretical connectivity alone.
206
Publications
14.5K
Citations
1.4K
Authors
517
Institutions
Publications per year
2017–2026
167
Parents
206
1–5 of 206
1.4K
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Yale University
New Haven, United States
20 h-index
112 publications
18K citations
Institut de Neurosciences des Systèmes
Marseille, France
13 h-index
37 publications
2.6K citations
Inserm
Paris, France
13 h-index
29 publications
2.3K citations
Charité - Universitätsmedizin Berlin
Berlin, Germany
11 h-index
28 publications
2.6K citations
Baycrest Hospital
Toronto, Canada
10 h-index
18 publications
842 citations
Southwest University
Chongqing, China
9 h-index
63 publications
3.4K citations
Max Planck Institute for Human Cognitive and Brain Sciences
Leipzig, Germany
9 h-index
11 publications
1.7K citations

University of Toronto
Toronto, Canada
9 h-index
13 publications
642 citations
1–8 of 517
26 publications · 1.9K citations
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Repository · 11 publications · 311 citations
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7 publications · 217 citations
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7 publications · 232 citations
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7 publications · 786 citations
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