Geometric Neural Network based on Phase Space for BCI decoding

arXiv:2403.05645v1 Announce Type: cross
Abstract: The integration of Deep Learning (DL) algorithms on brain signal analysis is still in its nascent stages compared to their success in fields like Computer Vision, especially in Brain-Computer Interface (BCI), where the brain activity is decoded to control external devices without requiring muscle control. Electroencephalography (EEG) is a widely adopted choice for designing BCI systems due to its non-invasive and cost-effective nature and excellent temporal resolution. Still, it comes at the expense of limited …

abstract algorithms analysis arxiv bci brain brain activity brain-computer interface computer computer vision control cs.ai cs.lg decoding deep learning devices eess.sp fields integration network neural network q-bio.nc signal space success type vision