Optimal Transport for Reducing Cross-Subject Variability in Motor Imagery Brain-Computer Interfaces for Rehabilitation
Viernes 23 de mayo, 15.30 hs
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Disertante: Catalina Galván
Resumen. Electroencephalography (EEG)-based brain-computer interfaces (BCIs) often struggle with high variability across subjects, which is particularly challenging for motor imagery (MI) paradigms used in rehabilitation. Most current MI-BCI systems...