Brain-Computer Interface Based on Mutual Learning Helps Tetraplegics to Win Cybathlon Avatar Race (IMAGE)

PLOS

Brain-Computer Interface Based on Mutual Learning Helps Tetraplegics to Win Cybathlon Avatar Race

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Brain-computer interfaces (BCIs) are seen as a potential means by which severely physically impaired individuals can regain control of their environment, but establishing such an interface is not trivial. A study publishing May 10 in the open access journal PLOS Biology, by a group of researchers at the École Polytechnique Fédérale de Lausanne in Geneva, Switzerland, suggests the most dramatic improvements in computer-augmented performance are likely to occur when both human and machine are allowed to learn.

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Serafeim Perdikis and Robert Leeb

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