Generative Embedding for Model-Based Classification of fMRI Data

Decoding models, such as those underlying multivariate classification algorithms, have been increasingly used to infer cognitive or clinical brain states from measures of brain activity obtained by functional magnetic resonance imaging (fMRI). The practicality of current classifiers, however, is res...

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Detalles Bibliográficos
Autores principales: Brodersen, Kay H., Schofield, Thomas M., Leff, Alexander P., Ong, Cheng Soon, Lomakina, Ekaterina I., Buhmann, Joachim M., Stephan, Klaas E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2011
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3121683/
https://www.ncbi.nlm.nih.gov/pubmed/21731479
http://dx.doi.org/10.1371/journal.pcbi.1002079

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3121683/
https://www.ncbi.nlm.nih.gov/pubmed/21731479
http://dx.doi.org/10.1371/journal.pcbi.1002079

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