Shandong First Medical University

Surgeons in eastern China have implanted a brain-computer interface in a man who has been unable to move his limbs for more than two years. Eight ultraflexible electrodes sit 4 mm into his cortex, wired to a chip mounted on the skull. It is the first invasive BCI operation performed in Shandong province, and the patient now begins up to six months of training to control devices by thought.

The study introduces RLED, a reinforcement learning-enhanced EEG diffusion framework for adaptive data augmentation in endogenous EEG tasks such as motor imagery and emotion recognition. Reinforcement learning dynamically regulates the diffusion training process to balance temporal, spectral and category-related features. Across four datasets, the high-quality synthetic EEG signals it generated consistently improved classification performance.