Unsupervised representation learning of spontaneous MEG data with nonlinear ICA
Resting-state magnetoencephalography (MEG) data show complex but structured spatiotemporal patterns. However, the neurophysiological basis of these signal patterns is not fully known and the underlying signal sources are mixed in MEG measurements. Here, we developed a method based on the nonlinear i...
| Main Authors: | , , , , |
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| 格式: | 文件 |
| 语言: | English |
| 出版: |
Elsevier
2023-07-01
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| 丛编: | NeuroImage |
| 主题: | |
| 在线阅读: | http://www.sciencedirect.com/science/article/pii/S1053811923002938 |