Effective Connectivity Modeling
Effective Connectivity Modeling is a computational framework that characterizes the causal influence one neural population exerts over another within a neural circuit, distinguishing itself from other connectivity approaches by inferring directional, dynamic interactions based on observed neurophysiological activity.
529
Publications
37K
Citations
2.2K
Authors
878
Institutions
Publications per year
2017–2026
238
Parents
529
Dynamics of neuronal firing correlation: modulation of "effective connectivity"
A Aertsen, George L. Gerstein, Muhammad Habib et al. · Journal of Neurophysiology · 1989 · 1.1K citations
Ten simple rules for dynamic causal modeling
Klaas Ε. Stephan, W.D. Penny, Rosalyn Moran et al. · NeuroImage · 2009 · 834 citations · Full text
Karl Friston, Joshua Kahan, Bharat B. Biswal et al. · NeuroImage · 2013 · 589 citations · Full text
1–5 of 529
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878
Wellcome Centre for Human Neuroimaging
London, United Kingdom
53 h-index
202 publications
29.5K citations
University College London
London, United Kingdom
51 h-index
257 publications
34.8K citations
National Hospital for Neurology and Neurosurgery
London, United Kingdom
29 h-index
98 publications
20.1K citations

Monash University
Melbourne, Australia
23 h-index
36 publications
2.8K citations
University of Zurich
Zurich, Switzerland
19 h-index
60 publications
6.3K citations

NED University of Engineering and Technology
Karachi, Pakistan
18 h-index
19 publications
2.4K citations
Institució Catalana de Recerca i Estudis Avançats
Barcelona, Spain
17 h-index
17 publications
1.4K citations

Universitat Pompeu Fabra
Barcelona, Spain
16 h-index
44 publications
4K citations
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87 publications · 9.5K citations
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37 publications · 2.2K citations
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27 publications · 3.5K citations
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14 publications · 766 citations
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14 publications · 467 citations
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