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Automated search of stimulation targets with closed-loop transcranial magnetic stimulation., , , , and . NeuroImage, (2020)Corticospinal excitability is highest at the early rising phase of sensorimotor µ-rhythm., , , , , , , , and . NeuroImage, (2023)Automatic and robust noise suppression in EEG and MEG: The SOUND algorithm., , , and . NeuroImage, (2018)Predicting motor behavior: an efficient EEG signal processing pipeline to detect brain states with potential therapeutic relevance for VR-based neurorehabilitation., , , , , and . Virtual Real., 27 (1): 347-369 (March 2023)Dealing with artifacts in TMS-evoked EEG., , , , , , and . EMBC, page 230-233. IEEE, (2015)Causal decoding of individual cortical excitability states., , , , and . NeuroImage, (2021)Blind Source Separation of Event-Related EEG/MEG., , and . IEEE Trans. Biomed. Eng., 64 (9): 2054-2064 (2017)Removal of large muscle artifacts from transcranial magnetic stimulation-evoked EEG by independent component analysis., , , , , and . Medical Biol. Eng. Comput., 49 (4): 397-407 (2011)