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eess.SP2023
An embedding for EEG signals learned using a triplet loss
Pierre Guetschel, Théodore Papadopoulo, Michael Tangermann
Neurophysiological time series recordings like the electroencephalogram (EEG) or local field potentials are obtained from multiple sensors. They can be decoded by machine learning…
eess.SP2018★ 2 cited
Mining within-trial oscillatory brain dynamics to address the variability of optimized spatial filters
Andreas Meinel, Henrich Kolkhorst, Michael Tangermann
Data-driven spatial filtering algorithms optimize scores such as the contrast between two conditions to extract oscillatory brain signal components. Most machine learning approache…