Machine learning heavily relies on data, but real-world applications often encounter various
data-related issues. These include data of poor quality, insufficient data points leading to …

Brain–computer interfaces—which allow direct communication between the brain and
external computers—have potential applications in neuroscience, medicine and virtual …

Speech neuroprostheses have the potential to restore communication to people living with
paralysis, but naturalistic speed and expressivity are elusive. Here we use high-density …

A brain–computer interface that decodes continuous language from non-invasive recordings
would have many scientific and practical applications. Currently, however, non-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 …

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

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 …

Decoding speech from brain activity is a long-awaited goal in both healthcare and
neuroscience. Invasive devices have recently led to major milestones in this regard: deep …

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 …

Neuroprostheses have the potential to restore communication to people who cannot speak
or type due to paralysis. However, it is unclear if silent attempts to speak can be used to …