EEGSym: Overcoming Inter-subject Variability in Motor Imagery Based BCIs with Deep Learning - Perez-Velasco, Sergio; Santamaria-Vazquez, Eduardo; Martinez-Cagigal, Victor; Marcos-Martinez, Diego; Hornero, Roberto (IEEE transactions on neural systems and rehabilitation engineering, 2022)
Keywords: Artificial neural networks; Brain Computer Interface (BCI); Brain modeling; Classification; Computer architecture; Convolutional neural networks; Datasets; Decoding; Deep learning; Deep Learning (DL); EEG; Electrodes; Electroencephalography; Feature extraction; Human-computer interface; Imagery; Inter-subject; Interfaces; Machine learning; Mental task performance; Model accuracy; Motor Imagery; Motor skill learning; Neural networks; Transfer learning