A Stanford-led study published in Nature on Feb. 26 found that age-related changes witnessed in diseases like Alzheimer’s may be related to a relatively untapped area of research in the brain. The ...
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Living brain cells enable machine learning computations
A research team at Tohoku University and Future University Hakodate has demonstrated that living biological neurons can be trained to perform a supervised temporal pattern learning task previously ...
People whose brain age is older than their actual chronological age by 10 years may have a 39% higher future risk of dementia ...
Specific EEG features tied to brain age are already known to support memory and overall brain function. These include delta ...
A machine-learning analysis of brain waves recorded during sleep may help identify people at high risk of developing dementia ...
Can living neurons replace AI? A new study shows that biological neural networks (BNNs) can be trained to perform reservoir ...
STANFORD, California, USA, 24 June 2025 – In a comprehensive Genomic Press interview, Stanford University researcher Eric Sun reveals how machine learning is revolutionizing our understanding of brain ...
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 ...
Scientists have recently detailed how automation and machine learning can aid clinicians treating patients with spreading depolarizations, sometimes referred to as 'brain tsunamis.' A University of ...
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