Brain-Computer Interfaces (BCIs) are emerging as transformative tools that enable direct communication between the human ...
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 ...
A new study by Apple researchers presents a method that lets an AI model learn one aspect of the structure of brain electrical activity without any annotated data. Here’s how. In a new study called ...
New research has concluded that processed EEG indexes demonstrate limited ability to identify delayed neurocognitive recovery. The international collaboration between German and American researchers ...
(a) Emotiv EPOC headset. (b) DSI-24 headset. (c) OpenBCI Ultracortex “Mark IV” headset. (d) Jure et al. from National University of Entre Ríos presented a functional electrical stimulation (FES) based ...
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