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 ...

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 ...

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 ...

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 ...

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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 ...

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

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