Brain-machine Interface Learns with Brain, Increasing Prosthetic Control

Researchers are working on the development of brain-machine interfaces to allow patients to control artificial limbs more efficiently. Until recently, these devices have been limited to one-way communication from the computerized interface to the prosthetic limb by interpreting brain signals. A University of Florida research team is now working on improving such devices, allowing the interface to adapt to an individual's habits and unique needs. Such adaptation makes controlling artificial limbs more natural.
Researchers worked with rats in the development of the brain-machine interface. The device uses a much more complex set of algorithms than current devices, and these algorithms were developed through a goal and reward system. By implanting tiny electrodes to detect brain waves in mice taught to mentally control a robotic arm, the computer formulated ways to increase efficiency. As the computer earned points as a reward, the mice received drops of water. Points for the computer corresponded to more accurate and efficient attempts at reaching the target, indicating intelligence and habit-forming memorization.
This developing method of prosthetic implant control will make future prosthetic control more user-friendly. This article reveals the ability of manufactured devices to become more efficient than natural body components. Like the discussion of Cheetah blades, this new technology raises ethical questions of elective surgery. Where will society draw the line on the looming reality of the bionic man?


Biology News Net Article:
http://www.biologynews.net/archives/2008/06/24/researchers_develop_neural_implant_that_learns_with_the_brain.html


~Angie Burrer
Section 501