Brain-machine interfaces (BMIs) combine methods, approaches, and concepts derived from
neurophysiology, computer science, and engineering in an effort to establish real-time …

Over the past decade, many researchers have come up with different implementations of
systems for decoding covert or imagined speech from EEG (electroencephalogram). They …

Background Technology to restore the ability to communicate in paralyzed persons who
cannot speak has the potential to improve autonomy and quality of life. An approach that …

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 …

It has long been speculated whether communication between humans and machines based
on natural speech related cortical activity is possible. Over the past decade, studies have …

Speech is a complex process involving a wide range of biosignals, including but not limited
to acoustics. These biosignals-stemming from the articulators, the articulator muscle …

Speech production is a hierarchical mechanism involving the synchronization of the brain
and the oral articulators, where the intention of linguistic concepts is transformed into …

Cognitive neuroscience has seen rapid growth in the size and complexity of data recorded
from the human brain as well as in the computational tools available to analyze this data …

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 …

Objective. Although brain–computer interfaces (BCIs) can be used in several different ways
to restore communication, communicative BCI has not approached the rate or efficiency of …