Brain2Qwerty — Decoding typed sentences from non-invasive brain activity
facebookresearch.github.io · 418 words · saved by 2 readers
A non-invasive brain-computer interface that decodes typed sentences from magnetoencephalography (MEG). Work by Meta AI in collaboration with BCBL.
Brain2Qwerty — Decoding typed sentences from non-invasive brain activity Loading the scanner… Brain 2 Qwerty v2 A non-invasive brain-computer interface for online sentence generation. Scroll to read more The Challenge Every year, thousands of people lose the ability to speak after a stroke, an accident, or a brain disorder. While communication can be restored with brain implants on the motor cortex, such neuroprostheses require open-brain surgery. Today, we introduce Brain2Qwerty v2 : a model to decode natural sentences from non-invasive magnetoencephalography (MEG) recordings. Architecture Fo
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