<ul><li>A paralyzed man is able to operate a robotic arm with long-term stability using a brain-computer interface (BCI) based on electrocorticography (ECoG).</li><li>Researchers at UC San Francisco (UCSF) have mapped how imagined movements shape brain activity patterns by implanting a sensor grid over the brain's motor regions.</li><li>The integration of artificial intelligence (AI) into the BCI allows for seamless device operation for months, compensating for neural drift.</li><li>The aim is to refine AI models to improve speed and fluidity, ultimately offering individuals with paralysis a level of independence previously unimaginable.</li></ul>

Paralyzed man moves robotic arm with his mind

Discover more