Modality-agnostic decoders leverage modality-invariant representations in human subjects' brain activity to predict stimuli irrespective of their modality (image, text, mental imagery).

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 ...

Researchers researchers bring noninvasive EEG-based BCI one step closer to everyday use by demonstrating real-time brain decoding of individual finger movement intentions and control of a dexterous ...

Mice make decisions, encoded by unique cortical populations, to self-organize into group huddles for warmth. Silencing these populations in some members decreases their huddling decisions and triggers ...

The idea of “reading minds” has shifted from science fiction to a concrete engineering challenge, and the latest breakthroughs suggest the brain’s private code is finally yielding. Researchers are not ...

The trial assessed the graphene-based cortical interface during neurosurgical procedures for brain tumour resection.

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 ...

InBrain Neuroelectronics announced today that it completed patient recruitment in a first-in-human brain-computer interface ...

An EEG (electroencephalogram) is a painless test that uses small sensors placed on the scalp to measure the brain’s electrical activity. It provides a real-time readout of brain “waves”—rhythms ...

INBRAIN Neuroelectronics, a neurotechnology company developing graphene-based brain-computer interface therapeutics (BCI-Tx), ...