In a busy room full of talking people, most of us can still pick out one voice to focus on. This common yet complex task—known as the “cocktail party effect”—relies on the brain’s incredible ability ...

Maryam Shanechi, the Sawchuk Chair in Electrical and Computer Engineering and founding director of the USC Center for Neurotechnology, and her team have developed a new AI algorithm that can separate ...

No body, no dopamine, no problem. Scientists have successfully coached lab-grown brain tissue to solve a classic robotics challenge, proving that the will to learn is hardwired into our neurons.

Machine learning is helping neuroscientists organize vast quantities of cells’ genetic data in the latest neurobiological cartography effort.

Scientists have developed a new AI algorithm that can separate brain patterns related to a particular behavior. This work promises to improve brain-computer interfaces and aid with the discovery of ...

With the introduction of adaptive deep brain stimulation (aDBS) for Parkinson's disease, new questions emerge regarding who, why, and how to treat. This paper outlines the pathophysiological rationale ...

Small and dense but filled with vitally important neural fibers, the brainstem has been hard for brain imaging technologies ...

The rise of artificial intelligence (AI) deep learning algorithms is helping to accelerate brain-computer interfaces (BCIs). Published in this month’s Nature Neuroscience is new research that shows ...

Your brain calculates complex physics every day and you don't even notice. This neuromorphic chip taps into the same idea.

Although we spend a lot of our time online nowadays--streaming music and video, checking email and social media, or obsessively reading the news--few of us know about the mathematical algorithms that ...