题目 : Brain Connectivity, Activity and Performance: Perspective from Complex Dynamical Network  Systems
报告人: Zhou Changsong, Ph.D., Associate Professor, Department of Physics, Center for Nonlinear Studies, Hong Kong Baptist University, Beijing Computational Science Research Center
地点:京师大厦9420
时间：2015 2015年11月18日下午15:30
摘要:  Brain is dynamical network system with highly complex connectivity and activity patterns crossing multiple scales. It is also a functional system developed in evolution to optimize multiple functions under various physical and energy constraints. In this talk, I will give an overview of complex brain connectivity, activity and performance from the perspective of dynamical systems and share our recent projects on the analysis and modeling of complex brain connectivity and activity from the approaches of complex systems and cost-efficiency trade-off, and discuss the relevance to brain diseases.
 
报告人简介:  Dr. Zhou Changsong, Associate Professor, Department of Physics; Director of Centre for Nonlinear Studies, Deputy Director of Institute of Computational and Theoretical Studies, Hong Kong Baptist University (HKBU). He obtained his PhD degree at Nankai University, and served as Postdoctoral Fellow at National University of Singapore (1997-1999), Visiting Research Scholar at HKBU (1999-2000) and Humboldt Research Fellow and Research Scientist at University of Potsdam, Germany (2000-2007). He joined HKBU as Assistant Professor in 2007 and became Associate Professor in 2011. He is Associate Member of the Beijing Computational Science Research Center. Dr. Zhou’s research interest is dynamical processes on complex systems. His current emphasis is on analysis and modeling of connectivity and activity in neural systems in collaboration with experimental neuroscientists, using the approaches of oscillatory dynamics networks and covering broad scales from network of excitation-inhibition neurons to interacting functional brain regions and functional EEG and cognitive variability and disorders. His work has been cited more than 5750 times, with H-index 32. His research work can be found at: http://www.researcherid.com/rid/F-4707-2010 .