Reaching and grasping in primates depend on the coordination of neural activity in large
frontoparietal ensembles. Here we demonstrate that primates can learn to reach and grasp …

Brain–machine interfaces 1 , 2 use neuronal activity recorded from the brain to establish
direct communication with external actuators, such as prosthetic arms. It is hoped that brain–…

Monkeys can learn to directly control the movements of an artificial actuator by using a brain-machine
interface (BMI) driven by the activity of a sample of cortical neurons. Eventually, …

Brain machine interfaces (BMIs) are devices that convert neural signals into commands to
directly control artificial actuators, such as limb prostheses. Previous real-time methods …

Proprioception—the sense of the body's position in space—is important to natural movement
planning and execution and will likewise be necessary for successful motor prostheses and …

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

Neuroprosthetic devices based on brain-machine interface technology hold promise for the
restoration of body mobility in patients suffering from devastating motor deficits caused by …

Neurophysiological, neuroimaging, and lesion studies point to a highly distributed processing
of temporal information by cortico-basal ganglia-thalamic networks. However, there are …

Brain-machine interfaces (BMIs) transform the activity of neurons recorded in motor areas of
the brain into movements of external actuators. Representation of movements by neuronal …

Advances in neural recording present increasing opportunities to study neural activity in
unprecedented detail. Latent variable models (LVMs) are promising tools for analyzing this rich …