When we learn a new skill, the brain has to decide - cell by cell - what to change. New research from MIT suggests it can do that with surprising ...

Worcester Polytechnic Institute (WPI) researchers have used a form of artificial intelligence (AI) to analyze anatomical changes in the brain and predict Alzheimer's disease with nearly 93% accuracy.

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 ...

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 ...

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 ...

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 ...

Cortical Labs, an Australian biotech company, has pushed the boundaries of biological computing by connecting living human ...

Neuron-powered computer chips can now be easily programmed to play a first-person shooter game, bringing biological computers a step closer to useful applications ...

William Wright receives funding from National Institutes of Health (NINDS) and the Schmidt Sciences. Takaki Komiyama receives funding from NIH, NSF, Simons Foundation, Chan Zuckerberg Initiative, and ...