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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Vydáno v:Comput Intell Neurosci
Hlavní autoři: Zhang, Jing, Zhang, Chuncheng, Yao, Li, Zhao, Xiaojie, Long, Zhiying
Médium: Artigo
Jazyk:Inglês
Vydáno: Hindawi 2018
Témata:
Research Article
On-line přístup:https://ncbi.nlm.nih.gov/pmc/articles/PMC5933074/
https://ncbi.nlm.nih.gov/pubmed/29849545
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2018/3956536
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