Researchers develop a novel topology-aware multiscale feature fusion network to enhance the accuracy and robustness of EEG-based motor imagery decoding Electroencephalography (EEG) is a fascinating ...
Deep learning has emerged as a transformative tool for the automated detection and classification of seizure events from intracranial EEG (iEEG) recordings. In this review, we synthesize recent ...
It all started out because he was playing around on Google Earth. Aaron Jackson was at a crossroads. He was living in New York City and working at a nonprofit when the city was devastated by ...
Abstract: Brain-Controlled technology enables direct interaction between the brain and peripheral devices by decoding electroencephalographic (EEG) signals from subjects. Among these, brain-controlled ...
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