Individuals with spinal cord injury (SCI) can face decades with permanent disabilities.
Advances in clinical management have decreased morbidity and improved outcomes, but …

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 …

Speech brain–computer interfaces (BCIs) have the potential to restore rapid communication
to people with paralysis by decoding neural activity evoked by attempted speech into text, or …

Brain–computer interfaces (BCIs) can restore communication to people who have lost the
ability to move or speak. So far, a major focus of BCI research has been on restoring gross …

Background Brain–computer interfaces can enable communication for people with paralysis
by transforming cortical activity associated with attempted speech into text on a computer …

Patients with amyotrophic lateral sclerosis (ALS) can lose all muscle-based routes of
communication as motor neuron degeneration progresses, and ultimately, they may be left …

A decade after speech was first decoded from human brain signals, accuracy and speed
remain far below that of natural speech. Here we show how to decode the …

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 …

Objective. Individuals with neurological disease or injury such as amyotrophic lateral
sclerosis, spinal cord injury or stroke may become tetraplegic, unable to speak or even …

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 …