Jeremy Hill

His 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. He is currently pursuing some of these questions in collaboration with Dr. Jason Farquhar, Prof. Peter Desain and others at the Donders Centre for Brain, Cognition and Behaviour in Nijmegen.