“Deciphering Neural Activity and Human Learning Process with Computational Models”

Hosted by the NeuroImaging Laboratories Research Center

Brief bio: Dr. Mingbo Cai received double B.S. degrees in Electronic and Information Science and Technology, and in Psychology from Peking University in 2008. He received his Ph.D. degree in Neuroscience from Baylor College of Medicine, studying the mechanism of time perception with David Eagleman and Wei Ji Ma. Then he completed his postdoctoral training from Yael Niv at Princeton University, in collaboration with Jonathan Pillow. He started his lab as an assistant professor at the International Research Center for Neurointelligence, The University of Tokyo, in 2019. His recent research focuses on developing Bayesian statistical tools for fMRI imaging analysis, applying advanced analysis to study the dynamics of spontaneous thoughts with brain imaging, and the computational mechanism by which humans learn to solve complex reinforcement learning tasks. He is also interested in the relationship between spontaneous thoughts, learning and mental disorders, and developing deep learning models inspired by infant learning.

For inquiries contact Kelli Powell.