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Analysis Methods toward Brain-Machine Interfaces in Real Environments.

. Kyoto University, Japan, (2015)

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Unsupervised Feature Extraction by Time-Contrastive Learning and Nonlinear ICA, and . (2016)cite arxiv:1605.06336.Nonlinear ICA of fMRI reveals primitive temporal structures linked to rest, task, and behavioral traits., , and . NeuroImage, (2020)Connectivity-contrastive learning: Combining causal discovery and representation learning for multimodal data., and . AISTATS, volume 206 of Proceedings of Machine Learning Research, page 3399-3426. PMLR, (2023)Vision-based mobile robot's SLAM and navigation in crowded environments., , and . IROS, page 3998-4005. IEEE, (2011)Learning a common dictionary for subject-transfer decoding with resting calibration., , , , , , , and . NeuroImage, (2015)Decoding spatial attention by using cortical currents estimated from electroencephalography with near-infrared spectroscopy prior information., , , , , , and . NeuroImage, (2014)Unsupervised Feature Extraction by Time-Contrastive Learning and Nonlinear ICA., and . NIPS, page 3765-3773. (2016)Independent innovation analysis for nonlinear vector autoregressive process., and . CoRR, (2020)Individual Identification by Resting-State EEG Using Common Dictionary Learning., , , and . ICANN (1), volume 10613 of Lecture Notes in Computer Science, page 199-207. Springer, (2017)Analysis Methods toward Brain-Machine Interfaces in Real Environments.. Kyoto University, Japan, (2015)