Since the original demonstration that electrical activity generated by ensembles of cortical
neurons can be employed directly to control a robotic manipulator, research on brain …

Brain-machine interfaces (BMIs) combine methods, approaches, and concepts derived from
neurophysiology, computer science, and engineering in an effort to establish real-time …

Significant progress has occurred in the field of brain–machine interfaces (BMI) since the
first demonstrations with rodents, monkeys, and humans controlling different prosthetic …

Brain-machine interfaces (BMIs) hold promise to treat neurological disabilities by linking
intact brain circuitry to assistive devices, such as limb prostheses, wheelchairs, artificial …

The field of invasive brain-machine interfaces (BMIs) is typically associated with
neuroprosthetic applications aiming to recover loss of motor function. However, BMIs also …

Quite recently, it has become possible to use signals recorded simultaneously from large
numbers of cortical neurons for real-time control. Such brain machine interfaces (BMIs) have …

The notion that a computer can decode brain signals to infer the intentions of a human and
then enact those intentions directly through a machine is becoming a realistic technical …

Brain-machine interfaces (BMIs) establish direct communications between the brain and
artificial actuators. As such, they hold considerable promise for restoring mobility and …

Brain-machine interfaces (BMIs) aim to help people with paralysis by decoding movement-
related neural signals into control signals for guiding computer cursors, prosthetic arms, and …

Brain-computer interfaces (BCIs) hold the promise to restore mobility and independence to
persons with paralysis. In spinal cord injury, brainstem stroke, and a host of neuromuscular …