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 ...

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 ...

Reinforcement learning is the most classical idea of linking neuroscience and artificial intelligence, and even in the 1980s, attempts were made to develop artificial intelligence that could judge ...

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 ...

A small region of the brain, known as the ventral tegmental area (VTA), plays a key role in how we process rewards. It produces dopamine, a neuromodulator that helps predict future rewards based on ...