Multiple Subject Barycentric Discriminant Analysis (MUSUBADA): How to Assign Scans to Categories without Using Spatial Normalization

We present a new discriminant analysis (DA) method called Multiple Subject Barycentric Discriminant Analysis (MUSUBADA) suited for analyzing fMRI data because it handles datasets with multiple participants that each provides different number of variables (i.e., voxels) that are themselves grouped in...

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Detalles Bibliográficos
Autores principales: Abdi, Hervé, Williams, Lynne J., Connolly, Andrew C., Gobbini, M. Ida, Dunlop, Joseph P., Haxby, James V.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2012
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3328164/
https://www.ncbi.nlm.nih.gov/pubmed/22548125
http://dx.doi.org/10.1155/2012/634165

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3328164/
https://www.ncbi.nlm.nih.gov/pubmed/22548125
http://dx.doi.org/10.1155/2012/634165

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