A newly developed bionic arm combines motor control with touch and hand movement sensations, allowing those with upper-arm amputations to behave and react as though they haven't lost their limb.
Researchers created a form of artificial vision for a blind woman with the aid of a brain implant position in the visual cortex. The results pave the way for the creation of visual brain prosthetics to help the blind to regain sight.
Researchers have developed a novel hybrid machine learning approach to muscle gesture recognition in prosthetic arms.
Researchers have developed a new, fully automated prosthetic arm that learns during normal use and adapts to varying conditions.
New findings about neural activity in the sensorimotor cortex may aid in the development of neuroprosthetics to help compensate for neuronal dysfunctions.
Feed-forward neural networks improve speed and provide more accurate control of brain-controlled prosthetic hands and fingers.
A newly developed machine learning model can predict the words a person is about to speak based on their neural activity recorded by a minimally invasive neuroprosthetic device.
