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Brain2Char: A Deep Architecture for Decoding Text from Brain Recordings
[article]
2019
arXiv
pre-print
Decoding language representations directly from the brain can enable new Brain-Computer Interfaces (BCI) for high bandwidth human-human and human-machine communication. Clinically, such technologies can restore communication in people with neurological conditions affecting their ability to speak. In this study, we propose a novel deep network architecture Brain2Char, for directly decoding text (specifically character sequences) from direct brain recordings (called Electrocorticography, ECoG).
arXiv:1909.01401v1
fatcat:mmmj75x7v5dhdk2jfgfqnzpm3m