Electroencephalography (EEG) is a fascinating noninvasive technique that measures and records the brain’s electrical activity. It detects small electrical signals produced when neurons in the brain communicate with each other, using electrodes placed at specific locations on the scalp that correspond to different regions of the brain. EEG has applications in various fields, from cognitive science and neurological disease diagnosis to robotic prosthetics development and brain-computer interfaces (BCI).
Topology-aware deep learning model enhances EEG-based motor imagery decoding
