Brain–machine interfaces (BMIs) have enabled a handful of test participants who are unable to move or speak to communicate simply by thinking. An implanted device picks up the neural signals ...

In a recent study published in PNAS Nexus, researchers provide new insights into human cognition by prioritizing interpretability in predictive modeling of intelligence from brain connectivity, rather ...

In a comprehensive Genomic Press interview, Stanford University researcher Eric Sun reveals how machine learning is revolutionizing our understanding of brain aging at an unprecedented cellular ...

Neurologists often use EEGs to help diagnose epilepsy, but routine recordings offer only about a 20-minute snapshot of brain activity. Without a seizure captured during that window, clinicians must ...

The rise of artificial intelligence (AI) deep learning algorithms is helping to accelerate brain-computer interfaces (BCIs). Published in this month’s Nature Neuroscience is new research that shows ...

Hemispheric says its AI model, trained on EEG data from 100,000 people, can translate a brain's electrical activity to ...

How the brain feels about the world around it is the subject of a new paper published in Proceedings of the National Academy of Sciences, co-authored by Edward A. Vessel, the Eugene Surowitz Assistant ...

Brain inspired AI model employs cognitive maps and stochastic calculations for energy efficient problem solving.

A person’s sleeping brain may reveal warning signs of dementia long before memory problems begin. Researchers used machine learning to analyze EEG recordings from about 7,000 adults and found that an ...