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Estimating true brain connectivity from EEG/MEG data invariant to linear and static transformations in sensor space.

, , , , and . NeuroImage, 60 (1): 476-488 (2012)

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Understanding brain connectivity from EEG data by identifying systems composed of interacting sources., , and . NeuroImage, 42 (1): 87-98 (2008)The use of standardized infinity reference in EEG coherency studies., , , , and . NeuroImage, 36 (1): 48-63 (2007)Estimating true brain connectivity from EEG/MEG data invariant to linear and static transformations in sensor space., , , , and . NeuroImage, 60 (1): 476-488 (2012)Spatiotemporal Structures of Time Lags in the Brain as Revealed by Magnetoencephalography., , , , and . SMC, page 2762-2766. IEEE, (2019)Influence of Co-Registration Errors on the Performance of Anatomical Constraints in MEG Source Connectivity Analysis., , , , , , and . SMC, page 2754-2761. IEEE, (2019)Multi-dimensional connectivity: a conceptual and mathematical review., , , , and . NeuroImage, (2020)A Signal-Processing Pipeline for Magnetoencephalography Resting-State Networks., , , , , , and . Brain Connect., 1 (1): 49-59 (2011)Deep Convolutional Neural Networks for Feature-Less Automatic Classification of Independent Components in Multi-Channel Electrophysiological Brain Recordings., , , , , and . IEEE Trans. Biomed. Eng., 66 (8): 2372-2380 (2019)Alpha and alpha-beta phase synchronization mediate the recruitment of the visuospatial attention network through the Superior Longitudinal Fasciculus., , , , , , and . NeuroImage, (2019)Third order spectral analysis robust to mixing artifacts for mapping cross-frequency interactions in EEG/MEG., , , , and . NeuroImage, (2014)