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 ultimate goal of neural interface research is to create links between the nervous system
and the outside world either by stimulating or by recording from neural tissue to treat or …

Despite rapid advances in machine learning tools, the majority of neural decoding
approaches still use traditional methods. Modern machine learning tools, which are versatile …

Patients with spinal cord injury lack the connections between brain and spinal cord circuits
that are essential for voluntary movement. Clinical systems that achieve muscle contraction …

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 …

Abstract Previous studies of Brain Computer Interfaces (BCI) based on scalp
electroencephalography (EEG) have demonstrated the feasibility of decoding kinematics for …

Brain-machine and brain-computer interface technologies hold great promise for use in the
recovery of sensory and motor functions lost as a result of nervous-system injuries or limb …

Intracortical brain computer interfaces (iBCIs) are being developed to enable people to drive
an output device, such as a computer cursor, directly from their neural activity. One goal of …

Among the potential biological signals for human-machine interactions (brain, nerve, and
muscle signals), electromyography (EMG) widely used in clinical setting can be obtained …

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 …