Using machine learning, Johns Hopkins researchers identified healthy and unhealthy patterns based on electrical activity.

Understanding the neural mechanisms underlying associative threat learning is essential for advancing behavioral models of threat and adaptation. We investigated distinct activation patterns across ...

Physicist Arvind Murugan earns Schmidt Science Polymath award for work at intersection of physics, biology, computation and materials science ...

Visual selective attention, the ability to allocate limited processing capacity towards the most relevant sensory stimuli, is essential for survival in ...

Our 50s are stressful—the kids are growing up and we often have to care for aging parents,” says Bushman. “You need to make time and create the mindset for exercise.” Whatever activity you choose, if ...

Researchers from the Yunnan Observatories of the Chinese Academy of Sciences (CAS) have unveiled a neural network-based ...

With increase in the applications of autonomous systems, in both civilian and military domains, it has become increasingly ...

Serendipitous meetings, scholarly collaborations, and an ethos of "encouraging junior faculty to think big" laid the ...

Trying to document how single brain cells participate in networks that govern behavior is a daunting task. Brain probes ...

Aging of the brain is characterized by deleterious processes at various levels including cellular/molecular and ...

We're here to help you win more at fantasy football — and have fun doing it. Award-winning analyst Scott Pianowski will deliver actionable advice to entertain, inform and assist in drafting, lineup ...

September 30 - The U.S. Supreme Court has dealt with a series of cases involving challenges to the actions of President Donald Trump and his administration since he returned to office in January.