Unsupervised representation learning of spontaneous MEG data with nonlinear ICA

Yongjie Zhu; Tiina Parviainen; Erkka Heinilä; Lauri Parkkonen; Aapo Hyvärinen

doi:10.1016/j.neuroimage.2023.120142

Unsupervised representation learning of spontaneous MEG data with nonlinear ICA

Yongjie Zhu, Tiina Parviainen, Erkka Heinilä, Lauri Parkkonen, Aapo Hyvärinen

Research output: Contribution to journal › Article › Scientific › peer-review

Original language	English
Journal	NeuroImage
Volume	274
Number of pages	13
ISSN	1053-8119
DOIs	https://doi.org/10.1016/j.neuroimage.2023.120142
Publication status	Published - 1 Jul 2023
MoE publication type	A1 Journal article-refereed

Fields of Science

(ica)
Deep generative model
Magnetoencephalography (MEG)
Neurofeedback
Non-stationarity
Nonlinear independent component analysis
Resting-state network
Unsupervised learning
113 Computer and information sciences
3112 Neurosciences

Access to Document

10.1016/j.neuroimage.2023.120142Licence: CC BY-NC-ND

MEGFinal published version, 2.48 MBLicence: CC BY-NC-ND

Cite this

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title = "Unsupervised representation learning of spontaneous MEG data with nonlinear ICA",

keywords = "(ica), Deep generative model, Magnetoencephalography (MEG), Neurofeedback, Non-stationarity, Nonlinear independent component analysis, Resting-state network, Unsupervised learning, 113 Computer and information sciences, 3112 Neurosciences",

author = "Yongjie Zhu and Tiina Parviainen and Erkka Heinil{\"a} and Lauri Parkkonen and Aapo Hyv{\"a}rinen",

year = "2023",

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doi = "10.1016/j.neuroimage.2023.120142",

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T1 - Unsupervised representation learning of spontaneous MEG data with nonlinear ICA

AU - Zhu, Yongjie

AU - Parviainen, Tiina

AU - Heinilä, Erkka

AU - Parkkonen, Lauri

AU - Hyvärinen, Aapo

PY - 2023/7/1

Y1 - 2023/7/1

KW - (ica)

KW - Deep generative model

KW - Magnetoencephalography (MEG)

KW - Neurofeedback

KW - Non-stationarity

KW - Nonlinear independent component analysis

KW - Resting-state network

KW - Unsupervised learning

KW - 113 Computer and information sciences

KW - 3112 Neurosciences

U2 - 10.1016/j.neuroimage.2023.120142

DO - 10.1016/j.neuroimage.2023.120142

M3 - Article

C2 - 37120044

SN - 1053-8119

VL - 274

JO - NeuroImage

JF - NeuroImage

ER -