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Deep-learning decoding for a noninvasive brain-computer interface - EurekAlert
Brain-computer interfaces (BCIs) have the potential to make life easier for people with motor or speech disorders, allowing them to manipulate prosthetic limbs and employ computers, among other uses. In addition, healthy and impaired people alike could enjoy BCI-based gaming. Non-invasive BCIs that work by analyzing brain waves recorded through electroencephalography are currently limited by inconsistent performance. Bin He and colleagues used deep-learning decoders to improve a BCI’s performance responding to a user who is engaged in the task of tracking an object in two-dimensional space with a cursor.
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