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

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 …

The instability of neural recordings can render clinical brain–computer interfaces (BCIs)
uncontrollable. Here, we show that the alignment of low-dimensional neural manifolds (low …

Neural prostheses translate neural activity from the brain into control signals for guiding
prosthetic devices, such as computer cursors and robotic limbs, and thus offer individuals …

Modern wearable robots are not yet intelligent enough to fully satisfy the demands of end-
users, as they lack the sensor fusion algorithms needed to provide optimal assistance and …

Brain–computer interface (BCI) neurotechnology has the potential to reduce disability
associated with paralysis by translating neural activity into control of assistive devices …

Advances in our understanding of brain function, along with the development of neural
interfaces that allow for the monitoring and activation of neurons, have paved the way for …

Neuroplasticity may play a critical role in developing robust, naturally controlled
neuroprostheses. This learning, however, is sensitive to system changes such as the neural …

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 …

Objective. Intracortical brain–computer interfaces (BCIs) are being developed to assist
people with motor disabilities in communicating and interacting with the world around them …