Challenges in Brain-Computer Interface Development: Induction, Measurement, 
Decoding, Integration

Hill, NJ

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Challenges in Brain-Computer Interface Development: Induction, Measurement, Decoding, Integration

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

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Citation

Hill, N. (2007). Challenges in Brain-Computer Interface Development: Induction, Measurement, Decoding, Integration. Talk presented at Invited keynote talk at the launch of BrainGain, the Dutch BCI research consortium. Nijmegen, The Netherlands.

Cite as: https://hdl.handle.net/11858/00-001M-0000-0013-CB01-9

Abstract

I‘ll present a perspective on Brain-Computer Interface development from Tübingen. Some of the benefits promised by BCI technology lie in the near foreseeable future, and some further away. Our motivation is to make BCI technology feasible for the people who could benefit from what it has to offer soon: namely, people in the "completely locked-in" state. I‘ll mention some of the challenges of working with this user group, and explain the specific directions they have motivated us to take in developing experimental methods, algorithms, and software.