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Influence of Co-Registration Errors on the Performance of Anatomical Constraints in MEG Source Connectivity Analysis., , , , , , and . SMC, page 2754-2761. IEEE, (2019)Denoising Single Trial Event Related Magnetoencephalographic Recordings., , and . ICA, volume 5441 of Lecture Notes in Computer Science, page 427-434. Springer, (2009)Tracking of dynamic functional connectivity from MEG data with Kalman filtering., , , and . EMBC, page 1003-1006. IEEE, (2018)MEG and EEG data analysis with MNE-Python, , , , , , , , , and 1 other author(s). Frontiers in Neuroscience, (2013)Consistency and similarity of MEG- and fMRI-signal time courses during movie viewing., , , , , , and . NeuroImage, (2018)Spatial sampling of MEG and EEG based on generalized spatial-frequency analysis and optimal design., , , , , and . NeuroImage, (2021)The brain in time: insights from neuromagnetic recordings, , and . Annals of the New York Academy of Sciences, 1191 (1): 89--109 (2010)rtMEG: A Real-Time Software Interface for Magnetoencephalography., , , , , and . Comput. Intell. Neurosci., (2011)Recording epileptic activity with \MEG\ in a light-weight magnetic shield, , , , , , and . Epilepsy Research, 82 (2–3): 227 - 231 (2008)Unsupervised representation learning of spontaneous MEG data with nonlinear ICA., , , , and . NeuroImage, (July 2023)