Researchers at UCSD have developed a neural implant that monitors the activity of different parts of the brain at the same time, from the surface to deep structures.

Researchers at the University of Wisconsin have developed a micro-molded scaffolding photoreceptor “patch” designed to be implanted under a damaged or diseased retina.

Researchers at Keck School of Medicine of USC develop signals that could bring color vision and improved clarity to prosthesis for the blind.

Not all health care providers speak the same language, but the software in their clinical imaging devices can and should.

While it isn’t surprising that infants and children love to look at people’s movements and faces, recent research from Rochester Institute of Technology studies exactly where they look when they see someone using sign language.

Training neural networks to perform tasks, such as recognizing images or navigating self-driving cars, could one day require less computing power and hardware thanks to a new artificial neuron device.

The IQA is a software system intended for use in importing, displaying, analyzing and managing images acquired with digital fundus cameras. The patented software detects the most common causes of retinal imaging artifacts.

Researchers at Georgia Tech have developed a potential new treatment for the eye disease glaucoma that could replace daily eyedrops and surgery with a twice-a-year injection to control the buildup of pressure in the eye.

The brain’s visual centers must be adept at filtering out noise from retinal cells to get to the true signal, and those filters have to constantly adapt. Prosthetic retinas are going to need this same filtering to succeed, NEI-funded research shows.

University of Michigan researchers have dramatically reduced the power requirements of neural interfaces while improving their accuracy—a discovery that could lead to long-lasting brain implants.