Restricted Boltzmann Machines for Neuroimaging: an Application in Identifying Intrinsic Networks

Matrix factorization models are the current dominant approach for resolving meaningful data-driven features in neuroimaging data. Among them, independent component analysis (ICA) is arguably the most widely used for identifying functional networks, and its success has led to a number of versatile ex...

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Detaylı Bibliyografya
Yayımlandı:Neuroimage
Asıl Yazarlar: Hjelm, R. Devon, Calhoun, Vince D., Salakhutdinov, Ruslan, Allen, Elena A., Adali, Tulay, Plis, Sergey M.
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: 2014
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Article
Online Erişim:https://ncbi.nlm.nih.gov/pmc/articles/PMC4348021/
https://ncbi.nlm.nih.gov/pubmed/24680869
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.neuroimage.2014.03.048
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