WebAug 14, 2024 · Abstract. Context. Electroencephalography (EEG) is a complex signal and can require several years of training, as well as advanced signal processing and feature extraction methodologies to be correctly interpreted. Recently, deep learning (DL) has shown great promise in helping make sense of EEG signals due to its capacity to learn … WebMar 30, 2015 · Gramfort, A., Luessi, M., Larson, E ... Methods based on the theory of optimal transport and nice properties of Wasserstein spaces have achieved great success in several important fields of pure ...
(PDF) Fast Optimal Transport Averaging of Neuroimaging …
WebOct 4, 2024 · Determining the state of consciousness in patients with disorders of consciousness is a challenging practical and theoretical problem. Recent findings suggest that multiple markers of brain activity extracted from the EEG may index the state of consciousness in the human brain. WebÉtudiant en master Université de Bordeaux, Bordeaux, Nouvelle-Aquitaine, France 7 Like Comment Comment simply vera wang tights
Deep learning-based electroencephalography analysis: a systematic ...
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