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Evaluation of Resting Spatio-Temporal Dynamics of a Neural Mass Model Using Resting fMRI Connectivity and EEG Microstates., , and . Frontiers Comput. Neurosci., (2019)Sparse estimation automatically selects voxels relevant for the decoding of fMRI activity patterns., , , , and . NeuroImage, 42 (4): 1414-1429 (2008)A solution to the dynamical inverse problem of EEG generation using spatiotemporal Kalman filtering., , , , and . NeuroImage, 23 (2): 435-453 (2004)Reconstructing Temporal Dynamics of fMRI Time Series via Encoded Contextual Information., , , and . BIBM, page 968-971. IEEE, (2020)fMRI activation maps based on the NN-ARx model., , , , , , and . NeuroImage, 23 (2): 680-697 (2004)Evaluating frequency-wise directed connectivity of BOLD signals applying relative power contribution with the linear multivariate time-series models., , , and . NeuroImage, 25 (2): 478-490 (2005)A State-Space Modeling Approach for Localization of Focal Current Sources From MEG., , , , , and . IEEE Trans. Biomed. Eng., 59 (6): 1561-1571 (2012)Adaptive sparseness for correntropy-based robust regression via automatic relevance determination., , , , and . IJCNN, page 1-8. IEEE, (2023)Predicting behavior through dynamic modes in resting-state fMRI data., , , , and . NeuroImage, (2022)MEG source reconstruction based on identification of directed source interactions on whole-brain anatomical networks., , , and . NeuroImage, (2015)