Brain–machine interfaces (BMIs) create closed-loop control systems that interact with the
brain by recording and modulating neural activity and aim to restore lost function, most …

Brain-machine interfaces (BMIs) have exploded in popularity in the past decade. BMIs, also
called brain-computer interfaces, provide a direct link between the brain and a computer …

The brain typically uses a rich supply of feedback from multiple sensory modalities to control
movement in healthy individuals. In many individuals, these afferent pathways, as well as …

Brain–machine interfaces (BMIs) using motor cortical activity to drive an external effector like
a screen cursor or a robotic arm have seen enormous success and proven their great …

Brain-machine interfaces (BMI) create novel sensorimotor pathways for action. Much as the
sensorimotor apparatus shapes natural motor control, the BMI pathway characteristics may …

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

Brain-machine interface (BMI) technology has rapidly matured over the last two decades,
mainly thanks to the introduction of artificial intelligence (AI) methods, in particular, machine …

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

Sensorimotor control engages cognitive processes such as prediction, learning, and
multisensory integration. Understanding the neural mechanisms underlying these cognitive …