Bayesian Neural Decoding
Bayesian Neural Decoding is a neural decoding framework that uses Bayesian inference to estimate the most probable stimulus or cognitive state given observed neural activity, by combining a prior distribution over possible states with a likelihood model of the neural responses.
46
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2.8K
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160
Authors
84
Institutions
Publications per year
2017–2026
22
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46
Bayesian Population Decoding of Motor Cortical Activity Using a Kalman Filter
Wei Wu, Yun Gao, Elie Bienenstock et al. · Neural Computation · 2005 · 459 citations
Bayesian decoding of brain images
Karl Friston, Carlton Chu, Janaı́na Mourão-Miranda et al. · NeuroImage · 2007 · 208 citations
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Massachusetts Institute of Technology
Cambridge, United States
5 h-index
12 publications
805 citations
Massachusetts General Hospital
Boston, United States
5 h-index
8 publications
362 citations
Columbia University
New York, United States
5 h-index
20 publications
992 citations
Stanford University
Stanford, United States
5 h-index
11 publications
724 citations
The University of Texas at Austin
Austin, United States
4 h-index
4 publications
263 citations
Boston University
Boston, United States
3 h-index
6 publications
251 citations
Harvard University
Cambridge, United States
3 h-index
8 publications
321 citations
Neuroelectronics Research Flanders
Leuven, Belgium
2 h-index
3 publications
190 citations
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Repository · 5 publications · 128 citations
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4 publications · 266 citations
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4 publications · 570 citations
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3 publications · 186 citations
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JN · 3 publications · 425 citations
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