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Vortrag

Thinking Out Loud: Research and Development of Brain Computer Interfaces

MPG-Autoren
http://pubman.mpdl.mpg.de/cone/persons/resource/persons83968

Hill,  NJ
Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society;

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Zitation

Hill, N. (2007). Thinking Out Loud: Research and Development of Brain Computer Interfaces. Talk presented at Invited keynote talk at the Max Planck Society‘s PhDNet Workshop 2007. Frankfurt.


Zitierlink: http://hdl.handle.net/11858/00-001M-0000-0013-CC8B-B
Zusammenfassung
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.