Brain State Decoding Based on fMRI Using Semisupervised Sparse Representation Classifications

Multivariate classification techniques have been widely applied to decode brain states using functional magnetic resonance imaging (fMRI). Due to variabilities in fMRI data and the limitation of the collection of human fMRI data, it is not easy to train an efficient and robust supervised-learning cl...

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Detalles Bibliográficos
Autores principales: Zhang, Jing, Zhang, Chuncheng, Yao, Li, Zhao, Xiaojie, Long, Zhiying
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2018
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5933074/
https://www.ncbi.nlm.nih.gov/pubmed/29849545
http://dx.doi.org/10.1155/2018/3956536

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5933074/
https://www.ncbi.nlm.nih.gov/pubmed/29849545
http://dx.doi.org/10.1155/2018/3956536

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