A new computational model of the brain based closely on its biology and physiology has not only learned a simple visual category learning task exactly as well as lab animals, but even enabled the ...

Machine learning is helping neuroscientists organize vast quantities of cells’ genetic data in the latest neurobiological cartography effort.

Breakthrough AI foundation model called BrainIAC is able to predict brain age, dementia, time-to-stroke, and brain cancer ...

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 ...

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 ...

Neuroscience lab exploring the brain circuits responsible for motivation and addiction using viral tracing and advanced microscopy techniques in rodent models. This project is for any student ...

Our brains may work best when teetering on the edge of chaos. A new theory suggests that criticality a sweet spot between order and randomness is the secret to learning, memory, and adaptability. When ...

Our biceps and our brain cells may have more in common than previously thought. New research led by the Lippincott-Schwartz Lab shows that a network of subcellular structures similar to those ...