A new study published in PNAS Nexus has found that specific patterns of brain activity can predict the success of persuasive messages across a wide variety of contexts. By analyzing neuroimaging data ...

Neural networks have been powering breakthroughs in artificial intelligence, including the large language models that are now being used in a wide range of applications, from finance, to human ...

A recent study from Baylor College of Medicine and Texas Children’s Hospital has identified a specific neural activity pattern as a novel biomarker to accurately predict and monitor the clinical ...

Scientists have developed a new machine learning method that reveals surprisingly consistent intrinsic brain patterns across different subjects by disentangling these patterns from the effect of ...

Researchers at The Hong Kong University of Science and Technology (HKUST) School of Engineering have developed a novel reinforcement learning–based generative model to predict neural signals, creating ...

After traumatic brain injury (TBI), some patients may recover completely, while others retain severe disabilities. Accurately evaluating prognosis is challenging in patients on life-sustaining therapy ...