NEI Research News

Researchers have developed a neural network capable of recognizing retinal tissues during the process of their differentiation in a dish.

Caltech researchers have combined tools from machine learning and neuroscience to discover that the brain uses a mathematical system to organize visual objects according to their principal components. The work was published June 3 in Nature.

An artificial intelligence (AI) device that has been fast-tracked for approval by the Food and Drug Administration may help identify newborns at risk for aggressive posterior retinopathy of prematurity (AP-ROP). AP-ROP is the most severe form of ROP.

Computer model of face processing could reveal how the brain produces richly detailed visual representations so quickly.

An artificial intelligence algorithm that can detect a potentially devastating cause of childhood blindness better than most human experts has been granted breakthrough status by the FDA.

Study from Columbia University uncovers human-like brain circuit at work. Their findings lay the groundwork for mapping mechanisms of color vision.

Researchers at Baylor College of Medicine and the University of Tübingen in Germany have developed a novel computational approach to finding stimuli that neurons in the brain ‘like.’

MIT neuroscientists have performed the most rigorous testing yet of computational models that mimic the brain’s visual cortex.

Shortly after birth when the world is a blur, babies may be learning to identify patterns.According to a new study funded by the National Eye Institute (NEI), the initial phase of blurry vision may be fundamental to the development of normal visual...

UW Medicine scientists funded by NEI are discovering how the brain functions when figuring out shapes that are fully seen or partially covered. As the task becomes more difficult, a reasoning and sensory parts of the brain interact through signals.