简介：PhD，哈佛医学院Instructor in Medicine，研究方向为人体认知与运动控制相关的神经生理信号的非线性动力学分析。参与和承担了多项NIH与基金会支持的研究项目。已发表论文30余篇，多个专业期刊评审，获得2016年美国老年学学会Research Award。
课程名称: Multiscale-dynamics in the human neuro-physiologic systems
授课时间: July 4th, 2020 (Saturday) 8:30-11:30am; 7:00-10:00pm
July 11th, 2020 (Sunday) 8:30-11:30am; 7:00-10:00pm
课程内容: Compared to the output fluctuation of the traditional mechanical system, which is oftentimes rhythmic and regular with a linear pattern, the fluctuation of our human’s neuro-physiologic signals (e.g., EEG and EKG) is not that regular, but highly complex and seemingly random. Studies have found that this non-linear characteristic, which can be presented by “physiologic complexity”, is linked to the system’s functionality to adapt to stressors (e.g., aging, disease, and even the burden of the physical load in athletic competition). This lecture series will introduce: 1) the theory of physiologic complexity in the human neuro-physiologic systems; 2) the methods and metrics derived from the non-linear dynamics to quantify such complexity; 3) recent research findings about implementing those metrics to capture the functionality of systems in different stressing conditions; and 4) the strategies targeting to restore such physiologic complexity as well as the functionality of the neuro-physiologic systems.
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