Brain-Computer Interfaces Advance with Covert Attention Decoding
Researchers have developed a breakthrough method for decoding covert visual attention using EEG and deep learning. The approach achieves unprecedented accuracy in classifying attention states without requiring eye movements. This could transform assistive technology for paralyzed individuals.