Bayesian Brain Models
Bayesian Brain Models is a theoretical framework in neural modeling that posits the brain as a probabilistic inference system, using Bayesian statistics to represent and update beliefs about the environment under uncertainty.
312
Publications
30.4K
Citations
910
Authors
455
Institutions
Publications per year
2017–2026
144
312
A Bayesian model of shape and appearance for subcortical brain segmentation
Brian Patenaude, Stephen M. Smith, David N. Kennedy et al. · NeuroImage · 2011 · 2.4K citations · Full text
Spontaneous Cortical Activity Reveals Hallmarks of an Optimal Internal Model of the Environment
Pietro Berkes, Gergő Orbán, Máté Lengyel et al. · Science · 2011 · 850 citations · Full text
Medicine, Neurobiology, Neuroscience +17
Ten simple rules for dynamic causal modeling
Klaas Ε. Stephan, W.D. Penny, Rosalyn Moran et al. · NeuroImage · 2009 · 834 citations · Full text
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455
University College London
London, United Kingdom
36 h-index
123 publications
20.3K citations
Wellcome Centre for Human Neuroimaging
London, United Kingdom
29 h-index
89 publications
16.1K citations
University of Zurich
Zurich, Switzerland
13 h-index
47 publications
4.8K citations
ETH Zurich
Zurich, Switzerland
13 h-index
42 publications
3.1K citations
Inserm
Paris, France
13 h-index
44 publications
3.2K citations

Radboud University Nijmegen
Nijmegen, The Netherlands
12 h-index
40 publications
1.7K citations
National Hospital for Neurology and Neurosurgery
London, United Kingdom
12 h-index
31 publications
9.1K citations
Institute for Biomedical Engineering
Zurich, Switzerland
12 h-index
40 publications
3K citations
1–8 of 455
43 publications · 6.5K citations
33
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19 publications · 1.6K citations
17
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14 publications · 2K citations
14
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Repository · 15 publications · 299 citations
11
h-index
7 publications · 205 citations
7
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