Stanford researchers have designed the fastest, most
accurate algorithm yet for brain-implantable prosthetic systems that can help
disabled people maneuver computer cursors with their thoughts. The algorithm’s
speed, accuracy and natural movement approach those of a real arm, doubling
performance of existing algorithms.
When a paralyzed person imagines moving a limb, cells in the
part of the brain that controls movement still activate as if trying to make
the immobile limb work again. Despite neurological injury or disease that has
severed the pathway between brain and muscle, the region where the signals
originate remains intact and functional.