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 ...

A recent study has revealed that specific patterns of gene activity serve as a hidden map that guides the complex wiring of ...

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 ...

A study led by Georgia Institute of Technology's Associate Professor Costas Arvanitis takes a major step toward safer and ...

A new study offers insight into the health and lifestyle indicators - including diet, physical activity and weight - that align most closely with healthy brain function across the lifespan. The study ...

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 ...

Mentalising brain signatures reveal distinct self/other neural patterns from adolescence and are altered in schizophrenia, suggesting candidate neuromarkers.

The Diagnostic Window Bottleneck: Neurologists rely heavily on EEGs to diagnose epilepsy, but standard clinical sessions provide only a 20-minute snapshot of brain activity, making manual detection ...

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Studying physics can be very useful—even when it comes to machine learning. A digital "super-brain" with built-in knowledge ...