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 developed a geometric deep learning method that can create a coherent picture of neuronal population activity during cognitive and motor tasks across experimental subjects and ...

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 ...

Assistant Professor of Biomolecular Engineering Tal Sharf holds up a specialized chip for recording electrical activity in brain organoids. Artificial intelligence (AI) has proven its incredible ...

Innovative technology such as artificial intelligence (AI), brain-computer interfaces and nanotechnology are accelerating neuroscience research in the quest for improving human health and daily lives.

Researchers at the University of Houston and the University of Cincinnati are using machine learning to create a clearer picture of how heroin affects the brain, potentially opening new doors for ...

Scientists at University of California San Francisco (UCSF) have published in Cell a new study that demonstrates a brain-computer interface (BCI) powered by artificial intelligence (AI) machine ...