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 …

Neural prosthetic systems seek to improve the lives of severely disabled people by decoding
neural activity into useful behavioral commands. These systems and their decoding …

Despite the rapid progress and interest in brain-machine interfaces that restore motor
function, the performance of prosthetic fingers and limbs has yet to mimic native function …

Objective. Cortically-controlled motor prostheses aim to restore functions lost to neurological
disease and injury. Several proof of concept demonstrations have shown encouraging …

Cortically-controlled prosthetic systems aim to help disabled patients by translating neural
signals from the brain into control signals for guiding prosthetic devices. Recent reports have …

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 …

Objective. The purpose of this study was to develop and evaluate an adaptive intent
recognition algorithm that continuously learns to incorporate a lower limb amputee's neural …

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

Cortically controlled prostheses are able to translate neural activity from the cerebral cortex
into control signals for guiding computer cursors or prosthetic limbs. While both noninvasive …

When designing neuroprosthetic interfaces for motor function, it is crucial to have a system
that can extract reliable information from available neural signals and produce an output …