Controlling networked neural dynamics: system identification and optimal neurostimulation

Speaker
Quanying Liu
Southern University of Science and Technology
Time

2023-06-20 09:30 ~ 11:30, in 19 hours (Asia/Shanghai Time)
Venue

Room 305, No. 5 Science Building
Abstract

The brain is a complex network of interlinked regions that coordinate to integrate information from the environment and drive diverse behaviors. Modelling the networked neural dynamics and understanding the information flow across brain regions are essential for controlling neural states and behavior. In this talk, I will present a data-driven framework called Neural Perturbational Inference (NPI). It learns the brain network dynamics with an artificial neural network as a surrogate brain, and then to infer the whole-brain causal relationship by virtual perturbation. Then, I will introduce a model-based control framework for optimizing the neurostimulation policy to steer the abnormal brain state to the healthy state. It combines a dynamical model and a model predictive controller for the closed-loop neurostimulation.
Bio

Dr. Quanying is an assistant professor in Department of Biomedical Engineering, PI of Neural Computing and Control lab (NCC lab) at Southern University of Science and Technology since 2019. She received the B.S. degree in electrical engineering at Lanzhou University, China, in 2010 and the M.S. degree in computer science at Lanzhou University, in 2013. After receiving her Ph.D. degree in biomedical engineering at ETH Zurich in 2017, she moved to the US as a postdoctoral fellow at CalTech. Quanying’s research interests are bridging human intelligence and artificial intelligence, and applying the advanced neuroimaging tools, computational models and control theory to solve the fundamental questions in the neuroscience field.
※ 修改:·vinbo 于 Jun 22 01:18:28 2023 修改本文·[FROM: 211.161.245.*]
※ 来源:·水木社区 http://www.mysmth.net·[FROM: 211.161.245.*]

修改:vinbo FROM 211.161.245.*
FROM 211.161.245.*