Bayesian Brain Computation
Bayesian Brain Computation is a theoretical framework within cortical computation that posits the brain performs probabilistic inference by representing and updating beliefs over uncertain states of the world according to Bayesian principles.
89
Publications
12.4K
Citations
299
Authors
166
Institutions
Publications per year
2017–2026
47
Parents
89
The Computational Anatomy of Psychosis
Rick A. Adams, Klaas Ε. Stephan, Harriet R. Brown et al. · Frontiers in Psychiatry · 2013 · 862 citations · Full text
Medicine, Neuroscience, Psychiatry +16
A Bayesian account of 'hysteria'
Mark J. Edwards, Rick A. Adams, Harriet R. Brown et al. · Brain · 2012 · 790 citations · Full text
An aberrant precision account of autism
Rebecca Lawson, Geraint Rees, Karl Friston · Frontiers in Human Neuroscience · 2014 · 666 citations · Full text
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299
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166
University College London
London, United Kingdom
17 h-index
60 publications
13.5K citations
Wellcome Centre for Human Neuroimaging
London, United Kingdom
12 h-index
24 publications
9.5K citations
ETH Zurich
Zurich, Switzerland
7 h-index
20 publications
1.8K citations
University of Zurich
Zurich, Switzerland
7 h-index
24 publications
2.7K citations
Institute for Biomedical Engineering
Zurich, Switzerland
7 h-index
19 publications
2.5K citations
Massachusetts Institute of Technology
Cambridge, United States
7 h-index
15 publications
1.1K citations
Columbia University
New York, United States
5 h-index
9 publications
683 citations
Stanford University
Stanford, United States
5 h-index
8 publications
1.2K citations
1–8 of 166
Repository · 7 publications · 203 citations
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5 publications · 371 citations
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4 publications · 413 citations
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4 publications · 403 citations
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3 publications · 1K citations
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