“This blending of learning between humans and AI is the next phase for these brain-computer interfaces,” said neurologist Karunesh Ganguly. “It’s what we need to achieve sophisticated, lifelike function.”
How the system works
The study participant, who suffered paralysis from a stroke, was implanted with small sensors on the surface of the brain. When the patient pictured moving their limbs or head, these sensors captured the brain’s activity. Over time, researchers found that while the brain’s movement patterns remained consistent in shape, their exact locations shifted slightly from day to day.
This outlines why previous BCIs failed so quickly.