14 MAY 2025, 15:30 – 17:00 (SGT)
Over the past decade, brain-computer interface (BCI) technology has undergone rapid development. The public has become aware of BCI due to high-profile companies like Elon Musk's Neuralink. Implantable BCIs have demonstrated significant advantages in assistive control and communication. In contrast, non-invasive BCIs, especially those based on electroencephalography (EEG), have shown broader potential in medical applications such as rehabilitation, cognitive enhancement, and brain health. This talk will review the recent major progress in BCI technologies. Then, we will focus on non-invasive BCI (particularly deep learning-based methods) and clinical research projects, including (1) Motor rehabilitation via BCI on recovery of finger and lower limb functions; (2) Cognitive enhancement via BCI for children with Attention Deficit Hyperactivity Disorder (ADHD) and elderly with cognitive decline; (3) Emotion regulation through affective BCI to alleviate symptoms of anxiety; (4) Rehabilitation interventions for aphasia using speech-decoding BCIs, as well as prognostic prediction and communication studies for patients with disorders of consciousness. These new advancements, thanks to new AI techniques, have provided new promises for future clinical applications.
Speaker:
Deputy Dean and President's Chair in Computer Science and Engineering
College of Computing & Data Science, Nanyang Technological University
