Damage or degeneration of motor pathways necessary for speech and other movements, as
in brainstem strokes or amyotrophic lateral sclerosis (ALS), can interfere with efficient …

Use of artificial intelligence (AI) is a burgeoning field in otolaryngology and the
communication sciences. A virtual symposium on the topic was convened from Duke …

Objective. To evaluate the potential of intracortical electrode array signals for brain-computer
interfaces (BCIs) to restore lost speech, we measured the performance of decoders trained …

Brain–computer interfaces (BCIs) that reconstruct and synthesize speech using brain activity
recorded with intracranial electrodes may pave the way toward novel communication …

Objective. Decoding language representations directly from the brain can enable new brain–
computer interfaces (BCIs) for high bandwidth human–human and human–machine …

Direct decoding of speech from the brain is a faster alternative to current
electroencephalography (EEG) speller-based brain-computer interfaces (BCI) in providing …

A brain-computer interface technology that can decode the neural signals associated with
attempted but unarticulated speech could offer a future efficient means of communication for …

The 2020's decade will likely witness an unprecedented development and deployment of
neurotechnologies for human rehabilitation, personalized use, and cognitive or other …

People who have lost the ability to speak due to neurological injuries would greatly benefit
from assistive technology that provides a fast, intuitive, and naturalistic means of …

Hybrid brain-computer interface (hBCI) systems that combine steady-state visual evoked
potential (SSVEP) and surface electromyography (sEMG) signals have attracted attention of …