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Large-scale EEG/MEG source localization with spatial flexibility., , , , , , and . NeuroImage, 54 (2): 851-859 (2011)SPoC: A novel framework for relating the amplitude of neuronal oscillations to behaviorally relevant parameters., , , , , , and . NeuroImage, (2014)A critical assessment of connectivity measures for EEG data: A simulation study., , , and . NeuroImage, (2013)Finding brain oscillations with power dependencies in neuroimaging data., , , , , and . NeuroImage, (2014)Multivariate Machine Learning Methods for Fusing Multimodal Functional Neuroimaging Data., , , , , , , , and . Proceedings of the IEEE, 103 (9): 1507-1530 (2015)Modeling Sparse Connectivity Between Underlying Brain Sources for EEG/MEG., , , , and . IEEE Trans. Biomed. Engineering, 57 (8): 1954-1963 (2010)An extendable simulation framework for benchmarking EEG-based brain connectivity estimation methodologies.. EMBC, page 7562-7565. IEEE, (2015)Dimensionality reduction for the analysis of brain oscillations., , and . NeuroImage, (2014)The effect of linear mixing in the EEG on Hurst exponent estimation., , , and . NeuroImage, (2014)Identifying Granger causal relationships between neural power dynamics and variables of interest., , , , and . NeuroImage, (2015)