Non-invasive BCI for Cognitive Enhancement

Electroencephalography (EEG) signals will be recorded from subjects as they perform rotation-based perceptual tasks. The neural correlates of conscious perception of rotations will be processed and decoded in real-time using machine learning algorithms to provide feedback. Subjects are instructed to assume a mental state/find a strategy to maximise the accuracy of feedback. In total, each subject will complete 5 sessions of perceptual training with this intervention.

Subjects complete the rotation-based perceptual tasks, and ground truth visual feedback is provided indicating whether subjects have spotted the rotations correctly. Subjects are instructed to spot as many rotation as possible to maximise the accuracy of feedback. In total, each subject will complete 5 sessions of perceptual training with this intervention.