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Abstract:
My principal interest is in applying machine-learning methods to the development of Brain-Computer Interfaces (BCI). This involves the
classification of a user‘s intentions or mental states, or regression
against some continuous intentional control signal, using brain signals
obtained for example by EEG, ECoG or MEG. The long-term aim is to
develop systems that a completely paralysed person (such as someone
suffering from advanced Amyotrophic Lateral Sclerosis) could use to
communicate.
Such systems have the potential to improve the lives of many people who
would be otherwise completely unable to communicate, but they are still
very much in the research and development stages.
