Brain-Computer Interfaces (BCIs) are cutting -edge assistive technology that offer hope to people with disabilities who have lost the ability to speak or move due to various causes such as neurodegenerative diseases, neurological disorders, or traumatic brain injuries . A new landmark BCI study led by Stanford Medicine neuroscientists demonstrates a brain-computer interface capable of decoding instructed inner speech on command with up to 74% accuracy.

“We discovered that inner speech is robustly represented and demonstrated a proof-of-concept real-time inner-speech BCI that can decode self-paced imagined sentences from a large vocabulary (125,000 words),” wrote the study’s senior author Frank Willett, PhD, Co-Director of the Neural Prosthetics Translational Laboratory and Assista

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