A new computational model of the brain based closely on its biology and physiology has not only learned a simple visual ...

A biologically grounded computational model built to mimic real neural circuits, not trained on animal data, learned a visual categorization task just as actual lab animals do, matching their accuracy ...

Memories and learning processes are based on changes in the brain's neuronal connections, and as a result, in signal ...

Abstract: Accurate assessment of cardiac function is vital for preventing and managing cardiovascular diseases (CVDs). Recent advancements in machine learning, especially convolutional neural networks ...

Seniors learn best when they’re taught the same way that is best for children and younger adults – with active participation, ...

Twelve Jacobs School of Medicine and Biomedical Sciences faculty members have received funding through the Undergraduate Research and Creative Activities Program for projects starting in January 2026.

Group block play is an early STEM activity commonly used in preschool classrooms. Although research has found that engaging young children in block play helps to promote development of math, spatial, ...

Princeton researchers found that a primate’s prefrontal cortex reuses modular “cognitive Legos” to solve related tasks, giving biological brains a flexibility that AI still lacks. The insight could ...