Caltech researchers develop ultrasound-based brain-machine interface to decode intended movements
By
mgh2
Summary
Caltech researchers have developed a brain-machine interface (BMI) that uses functional ultrasound (fUS) imaging to decode brain activity and predict intended movements. Unlike traditional BMIs that require invasive electrode implants, this ultrasound-based approach is less invasive while still achieving high accuracy. The system monitors blood flow changes in the brain to infer neural activity, allowing it to predict movements before they occur. This breakthrough could lead to more practical and safer brain-computer interfaces for paralyzed patients and other applications.
Source
Hacker NewsCaltech researchers develop ultrasound-based brain-machine interface to decode intended movementscaltech.eduKey quotes
· 2 pulledMapping neural activity to corresponding behaviors is a major goal for neuroscientists developing brain–machine interfaces (BMIs): devices that read and interpret brain activity and transmit instructions to a computer or machine.
Though this may seem like science fiction, existing BMIs can, for example, connect a paralyzed person with a robotic arm; the device interprets the per
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