Summary: Researchers develop an AI grasping system with robotic hands that can learn to grasp and move unfamiliar objects like...
Scientists used an electronic prosthetic system to tap into existing circuitry in the brain at the cellular level and record the firing patterns of multiple neurons in the prefrontal cortex, the part of the brain involved in decision-making. They then “played” that recording back to the same brain area to electrically stimulate decision-based neural activity. Not only did it restore function, in some cases, it also improved it.
Using piezoelectric materials, researchers have replicated the muscle motion of the human eye to control camera systems in a way designed to improve the operation of robots. This new muscle-like action could help make robotic tools safer and more effective for MRI-guided surgery and robotic rehabilitation.
Researchers developed an artificial cerebellum (a biologically-inspired adaptive microcircuit) that controls a robotic arm with human-like precision.
Nanotechnology scientists and memory researchers at the Kiel University redesigned a mental learning process using electronic circuits. The bell rings...
New method offers automated way to record electrical activity inside neurons in the living brain. Gaining access to the inner...
New technology bypasses spinal cord and delivers electrical signals from brain directly to muscles. A new Northwestern Medicine brain-machine technology...
