Neural signal decoding algorithms
Developing advanced machine learning approaches to better interpret complex neural patterns, improving the accuracy and responsiveness of brain-computer interfaces for diverse applications.
Our research programme addresses key challenges in brain-computer interface development, from fundamental signal processing to clinical applications.
Developing advanced machine learning approaches to better interpret complex neural patterns, improving the accuracy and responsiveness of brain-computer interfaces for diverse applications.
Researching collaborative brain-computer interfaces that enable multiple users to interact simultaneously, opening new possibilities for group research studies.
Working with medical partners to develop therapeutic applications for neurological conditions, focusing on rehabilitation and assistive technologies.
Investigating next-generation electrode materials that improve long-term biocompatibility whilst maintaining excellent signal quality for chronic implants.