Digital Twin Brain and Personalized Precision Neuromodulation

Speaker: Prof. Quanying Liu, Associate Professor & Ph.D. Supervisor
Chair: Prof. Huiguang He
Time: 15:30, Thursday, August 15th, 2024
Venue: No. 8 Meeting Room (17th Floor), Intelligent Building, Institute of Automation, Chinese Academy of Sciences

Abstract

The brain is a complex network system, and understanding how to model its dynamic properties and network characteristics is an important topic. In this talk, we will use data-driven methods to integrate AI modeling with neuroscience to construct a digital twin brain.
We will validate the model through precise closed-loop control experiments to map input–output relationships in brain activity, establish functional connectivity reflecting information flow magnitude and direction, and visualize causal brain interactions. These will guide targeted brain network modulation strategies.
Finally, I will present a brain network control framework that integrates neuromodulation modeling and control theory for personalized, precision neural stimulation, aiming to enhance brain function and improve behavior regulation.

Biography

Prof. Quanying Liu is an Associate Professor in the Department of Biomedical Engineering at Southern University of Science and Technology, PI of the Neural Computation and Neuromodulation Lab. She received her B.Sc. and M.Sc. degrees from Lanzhou University and her Ph.D. from ETH Zurich, followed by postdoctoral research at Stanford University.
Her research focuses on brain-inspired intelligence, multimodal neural signal processing, brain network analysis, and neuromodulation. She has proposed advanced modeling methods for brain oscillation dynamics, decoding neural activity for motor control, and improving brain stimulation precision. She has published over 60 SCI journal papers as first/corresponding author, including in The Innovation, NeuroImage, Pattern Recognition, IEEE JBHI, and presented at NeurIPS, IJCAI, ACC, among others. She is an author of the book Computational Neuroscience for Perception and Action.

Organizer: Laboratory of Brain Atlas and Brain-Inspired Intelligence