Concurrent decoding of acoustic detail and linguistic structure enables natural, intelligible speech synthesis from limited human cortical recordings, resolving a fundamental constraint in neural ...

The experiment was conducted by researchers at Stanford University in the United States as part of a wider study involving patients with amyotrophic lateral sclerosis (ALS), a progressive neurodegener ...

Brain–machine interfaces (BMIs) represent a transformative field at the intersection of neuroscience, engineering and computer science, allowing for direct communication between the brain and external ...

Marking a breakthrough in the field of brain-computer interfaces (BCIs), a team of researchers from UC Berkeley and UC San Francisco has unlocked a way to restore naturalistic speech for people with ...

Meta is testing artificial intelligence systems that can turn patterns of brain activity into text, effectively letting people “type” with their thoughts while lying inside a scanner. The work is ...

A series of recent experiments have demonstrated that artificial intelligence can now reconstruct the meaning of a person’s inner thoughts directly from brain signals, in some cases without any ...

A multivariate analysis of electroencephalography activity reveals super-additive enhancements to the neural encoding of audiovisual stimuli, providing new insights into how the brain integrates ...