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Artificial intelligence (AI) experts at the University of Massachusetts Amherst and the Baylor College of Medicine report that they have successfully addressed what they call a "major, long-standing obstacle to increasing AI capabilities" by drawing inspiration from a human brain memory mechanism known as "replay."

To understand the massive capabilities and complexities of the brain, neuroscientists segment it into functional regions. What's been lacking, however, is an ability to tie those maps precisely and consistently to physical structures. In a new study, researchers demonstrate a new way to link mapping and structure, with unprecedented results.

A team of researchers provides the first evidence that patients with ocular hypertension may exhibit superior antioxidant protection that promotes resistance to the elevated intraocular pressure associated with glaucoma.

Researchers have identified how cells in our brains work together to join up memories of separate experiences, allowing us to make educated guesses in everyday life.

Severe mental illness diagnoses are missed by clinicians in more than one quarter of cases when people are hospitalized for other conditions, finds a new study led by UCL researchers.

For the first time, scientists have solved the high-resolution structure of psychedelic compounds when they are actively bound to the 5-HT2A serotonin receptor on the surface of brain cells.

Researchers at the Brain Research Institute of the University of Zurich have utilized a mouse model to reveal which neurons in the brain are in command in guiding adaptive behavior. Their new study contributes to our understanding of decision-making processes in healthy and infirm people.

A team has artificially reproduced a nanoscale coating on different types of surfaces that usually covers the eyes of fruit flies, and which provides anti-reflective, anti-adhesive properties.

A study examining cavefish brains has produced brain atlases that represent a comparative brain-wide study of intraspecies variation in a vertebrate model and provide a resource for studying the neural basis underlying behavioral evolution.

Artificial intelligence researchers at North Carolina State University have improved the performance of deep neural networks by combining feature normalization and feature attention modules into a single module that they call attentive normalization (AN).