Neural Connectivity Modeling
Neural Connectivity Modeling is a computational framework that characterizes the structural and functional relationships between neurons or neural populations within a nervous system, distinguishing itself by explicitly representing the topology and strength of inter-neuronal interactions.
200
Publications
11.7K
Citations
780
Authors
402
Institutions
Publications per year
2017–2026
76
Parents
200
A Predictive Network Model of Cerebral Cortical Connectivity Based on a Distance Rule
Mária Ercsey-Ravasz, Nikola T. Markov, Camille Lamy et al. · Neuron · 2013 · 548 citations · Full text
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402
Inserm
Paris, France
8 h-index
12 publications
2.6K citations

Centre National de la Recherche Scientifique
Paris, France
6 h-index
13 publications
463 citations
National Institutes of Health
Bethesda, United States
6 h-index
10 publications
1.2K citations
Columbia University
New York, United States
6 h-index
12 publications
585 citations
Harvard University
Cambridge, United States
6 h-index
17 publications
1.3K citations
Jülich Aachen Research Alliance
Jülich, Germany
6 h-index
16 publications
801 citations

University of Minnesota
Minneapolis, United States
5 h-index
10 publications
622 citations
Baycrest Hospital
Toronto, Canada
5 h-index
7 publications
447 citations
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17 publications · 1.3K citations
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8 publications · 1.2K citations
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7 publications · 315 citations
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Repository · 6 publications · 115 citations
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5 publications · 286 citations
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