Bayesian multi-task learning for decoding multi-subject neuroimaging data

Decoding models based on pattern recognition (PR) are becoming increasingly important tools for neuroimaging data analysis. In contrast to alternative (mass-univariate) encoding approaches that use hierarchical models to capture inter-subject variability, inter-subject differences are not typically...

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Detalles Bibliográficos
Autores principales: Marquand, Andre F., Brammer, Michael, Williams, Steven C.R., Doyle, Orla M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Academic Press 2014
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4010954/
https://www.ncbi.nlm.nih.gov/pubmed/24531053
http://dx.doi.org/10.1016/j.neuroimage.2014.02.008

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4010954/
https://www.ncbi.nlm.nih.gov/pubmed/24531053
http://dx.doi.org/10.1016/j.neuroimage.2014.02.008

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