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HEAR to remove pops and drifts: the high-variance electrode artifact removal (HEAR) algorithm., , , and . EMBC, page 5150-5155. IEEE, (2019)Effect of Light Priming and Encouraging Feedback on the Behavioral and Neural Responses in a General Knowledge Task., , and . HCI (24), volume 8027 of Lecture Notes in Computer Science, page 744-753. Springer, (2013)A Comparison of ocular Artifact removal Methods for Block Design based Electroencephalography Experiments., , and . GBCIC, Verlag der Technischen Universitaet Graz, (2017)Uncertainty Quantification for cross-subject Motor Imagery classification., , , and . CoRR, (2024)Towards non-invasive EEG-based arm/hand-control in users with spinal cord injury., , , , , , , , and . BCI, page 63-65. IEEE, (2017)Simultaneous decoding of velocity and speed during executed and observed tracking movements: an MEG study., , , , , and . GBCIC, Verlag der Technischen Universitaet Graz, (2019)Transferring BCI models from calibration to control: Observing shifts in EEG features., , , and . CoRR, (2024)Advantages of EEG phase patterns for the detection of gait intention in healthy and stroke subjects., , and . CoRR, (2016)EEG neural correlates of goal-directed movement intention., , , , and . NeuroImage, (2017)A Generic Error-related Potential Classifier Offers a Comparable Performance to a Personalized Classifier., , and . EMBC, page 2995-2998. IEEE, (2020)