Multivariate Bayesian Decoding of Multiple States
Here we develop a novel Bayesian decoding approach that gains an advantage by modelling both the neuroimaging data and the encoded information (which can be classes or regressors such as behavioural measures) as depending on a common hidden brain states or features. [...]current multivariate approac...
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Veröffentlicht in: | NeuroImage (Orlando, Fla.) Fla.), 2009-07, Vol.47, p.S145-S145 |
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Hauptverfasser: | , , , |
Format: | Artikel |
Sprache: | eng |
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Online-Zugang: | Volltext |
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Zusammenfassung: | Here we develop a novel Bayesian decoding approach that gains an advantage by modelling both the neuroimaging data and the encoded information (which can be classes or regressors such as behavioural measures) as depending on a common hidden brain states or features. [...]current multivariate approaches do not allow for simultaneous decoding of multiple explanatory variables (EVs). |
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ISSN: | 1053-8119 1095-9572 |
DOI: | 10.1016/S1053-8119(09)71463-6 |