Brain–computer interfaces (BCIs) development is closely related to physics. In this paper, we
review the physical principles of BCIs, and underlying novel approaches for registration …

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

Brain–computer interfaces (BCIs) use brain activity to control external devices, thereby
enabling severely disabled patients to interact with the environment. A variety of invasive …

Brain-computer interfaces (BCIs) have the potential to restore communication for people with
tetraplegia and anarthria by translating neural activity into control signals for assistive …

Stroke is among the leading causes of long-term disabilities leaving an increasing number
of people with cognitive, affective and motor impairments depending on assistance in their …

The loss of a limb or paralysis resulting from spinal cord injury has devastating
consequences on quality of life. One approach to restoring lost sensory and motor abilities in …

Brain-computer interfaces (BCIs) promise to restore independence for people with severe
motor disabilities by translating decoded neural activity directly into the control of a …

After an initial period of recovery, human neurological injury has long been thought to be
static. In order to improve quality of life for those suffering from stroke, spinal cord injury, or …

A major hurdle to clinical translation of brain–machine interfaces (BMIs) is that current
decoders, which are trained from a small quantity of recent data, become ineffective when …

The large power requirement of current brain–machine interfaces is a major hindrance to
their clinical translation. In basic behavioural tasks, the downsampled magnitude of the 300 …