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).

Sabi debuts a brain-reading wearable beanie that converts thoughts into text, offering a noninvasive alternative to implanted ...

Brain implant allows paralyzed Colorado man to feel phantom finger movements through cortex procedure, marking major ...

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 ...

Brain scans using functional magnetic resonance imaging revealed that children with autism spectrum disorder exhibit marked differences in the microstructure of white matter and functional ...

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 ...