Seemingly unrelated diseases and conditions like Alzheimer's disease, obesity, chronic pain, traumatic brain injury, and ...

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

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 ...

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 ...

SAN DIEGO — Artificial intelligence (AI) is transforming the field of neuroscience, enabling scientific breakthroughs previously out of reach. New applications of AI and machine learning techniques ...

Professor Ngai Wong and Dr Zhengwu Liu from the Department of Electrical and Electronic Engineering at the Faculty of Engineering at the University of Hong Kong (HKU), in collaboration with research ...

A new machine learning algorithm developed by researchers from the USC Viterbi School of Engineering and NYU's Center for Neural Science can isolate brain signals and decode how neural dynamics in the ...

Explore how brain computer interface technology and advanced brain-computer interfaces are transforming digital interaction, ...