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Brain-Computer Interfaces for Basic Science, Byron Yu, PhD
October 6, 2016 @ 3:20 pm - 3:45 pm
Byron Yu, PhD, Associate Professor of Electrical and Computer Engineering and Biomedical Engineering, Carnegie Mellon University
Brain-computer interfaces (BCI) translate neural activity into movements of a computer cursor or robotic limb. BCIs are known for their ability to assist paralyzed patients. A lesser known, but increasingly important, use of BCIs is their ability to further our basic scientific understanding of brain function. I will discuss how a BCI can be leveraged to study learning in the brain – specifically, learning to generate neural activity patterns. I will then speculate how BCIs can be used to help patients with disorders involving abnormal neural activity patterns.