Multi-Scale Brain Modeling is a computational framework that integrates neurobiological data across spatial and temporal scales—from molecular and cellular levels to circuits and whole-brain systems—to construct unified models that capture the hierarchical organization and emergent dynamics of the brain.
86
Publications
4.8K
Citations
492
Authors
302
Institutions
Publications per year
2017–2026
53
Variants
Multi-scale Brain Simulation
Parents
Publications
86
The Virtual Brain Integrates Computational Modeling and Multimodal Neuroimaging
Petra Ritter, Michael Schirner, Anthony R. McIntosh et al. · Brain Connectivity · 2013 · 299 citations · Full text
P. A. Robinson, Chris Rennie, DONALD L. ROWE et al. · Philosophical Transactions of the Royal Society B Biological Sciences · 2005 · 173 citations · Full text
1–5 of 86
Authors
492
- VJ
7
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- AR
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- YN
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- KD
4
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- SL
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1–5 of 492
Institutions
302
Forschungszentrum Jülich
Jülich, Germany
8 h-index
29 publications
1.6K citations
Institut de Neurosciences des Systèmes
Marseille, France
8 h-index
10 publications
791 citations
Harvard University
Cambridge, United States
7 h-index
7 publications
566 citations
Aix-Marseille Université
Marseille, France
7 h-index
11 publications
852 citations
Allen Institute
Seattle, United States
7 h-index
50 publications
5.6K citations
Karolinska Institutet
Stockholm, Sweden
6 h-index
7 publications
442 citations
Stanford University
Stanford, United States
6 h-index
26 publications
1.4K citations
University College London
London, United Kingdom
6 h-index
21 publications
1.3K citations
1–8 of 302
Venues
- bioRxiv (Cold Spring Harbor Laboratory)
Repository · 7 publications · 146 citations
7
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- NeuroImage
5 publications · 458 citations
5
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- Neuron
3 publications · 526 citations
3
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- PLoS Computational Biology
3 publications · 120 citations
3
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- Journal of Neural Engineering
2 publications · 69 citations
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