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Simultaneous speech and gesture decoding for multimodal communication in paralysis.
Nature Neuroscience · · Journal Article · Open access
Brosler, Liu + more
Abstract ↗AI summary
The abstract is read at the publisher; the summary is JClub's.
Neural signals from a single high-density electrocorticography implant can support simultaneous decoding of speech and gestures in people with paralysis.
- Why it matters: Restoring natural communication for individuals with paralysis remains challenging because previous BCIs mainly focused on decoding speech or gestures separately, limiting their effectiveness.
- What they did: Researchers recorded neural activity from three participants with paralysis and developed parallel decoders for speech and gestures, enabling control of a virtual avatar during combined or isolated attempts.
- The result: Training on both isolated and simultaneous data improved decoding performance, demonstrating that a single cortical implant can support multi-effector control and advance BCIs toward more natural communication.
The findingWhy it mattersWhat they didThe result
- Open access
- 1 cites