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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Kaydedildi:
Detaylı Bibliyografya
Yayımlandı:Comput Intell Neurosci
Asıl Yazarlar: Zhang, Jing, Zhang, Chuncheng, Yao, Li, Zhao, Xiaojie, Long, Zhiying
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: Hindawi 2018
Konular:
Research Article
Online Erişim: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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