Date(s) - 03/20/2023
3:00 pm - 4:00 pm
Abstract: Neuroscience can inspire AI. AI can help study the brain. In this talk, I will present our recent progress in bridging neuroscience and AI by using images of brain activity. I will share some examples of using AI to model and decode brain activity during resting state, natural vision, and speech comprehension, emerging ideas in brain-inspired models for computer vision and natural language processing, and representation learning to link brain to behavior.
Bio: Zhongming Liu received B.S. and M.S. in Electrical Engineering from Zhejiang University, and Ph.D. in Biomedical Engineering from the University of Minnesota advised by Bin He. Then he was a research fellow in the Advanced MRI Section at the National Institutes of Health advised by Jeff Duyn. From 2013 to 2019, he was an Assistant/Associate Professor in both Biomedical Engineering and Electrical and Computer Engineering at Purdue University. Since 2020, he has been an Associate Professor in the Department of Biomedical Engineering, the Department of Electrical Engineering and Computer Science at the University of Michigan. His lab develops and uses advanced techniques for imaging, recording, stimulating and modeling the brain to accelerate progress in neurosciences, neural engineering, and artificial intelligence.