For almost a century, psychology and neuroscience researchers have been trying to understand the processes via which humans and other animals acquire new skills or learn to deal with specific ...

For more than 20 years in experimental particle physics and astrophysics, machine learning has been accelerating the pace of science, helping scientists tackle problems of greater and greater ...

The choice of rodent strain for neuroscientific research is often considered a secondary factor when selecting rat or mouse models for functional studies of ...

While hypothesis testing is a highly formalized activity, hypothesis generation remains largely informal. We propose a procedure that uses machine learning algorithms—and their capacity to notice ...

Assessing student learning effectively is often complicated by relying on ambiguous proxies such as grades, quiz scores, or assumptions about students' internal states, such as what they feel, think, ...

Cutting-edge machine learning tools reveal hidden patterns in Alzheimer’s disease mouse behavior, opening the door to innovative treatments targeting neuroinflammation. Study: Machine learning reveals ...