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EEG source imaging during natural human activities outside of the laboratory

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报告人: 唐璨

主持人:胡卫平 教授

讲座时间:9:00—11:30

讲座日期:2019-10-25

地点:雁塔校区 教学一楼303学术报告厅

主办单位:现代教学技术教育部重点实验室、教师专业能力发展中心

讲座人简介:

唐璨 (Akaysha Tang) 教授,北京大学计算机学士,格林奈尔学院心理学士,哈佛大学心理学博士,萨尔科生物研究所计算生物实验室博士后。前美国国家科学基金会认知神经科学项目主管,中美合作项目主管。曾任美国新墨西哥州大学终身心理和神经科学副教授。于2016年出任香港大学教育学院教育神经科学实验室(Laboratory of Neuroscience for Education, NfE Lab)创始人及主任、教授、博士生导师, 美国Mind Research Network客座教授。NfE实验室 (NfE.edu.hku.hk) 致力于通过前沿的神经科学发现与技术来推动教育创新,旨在强化学习能力, 提升教学效果, 为教育决策提供脑科学基础。唐教授曾在Proc. Nat. Acad. Sci.Biological Psychiatry, Cerebral Cortex, Front. NeuroendocrinologyJ. Neurosci, Hippocampus, NIPS, Neural Computation等知名学术期刊上发表多篇论文。

讲座内容简介:

Rapid development in neuroimaging techniques have advanced our understanding of how human brain supports a wide range of human cognitive functions. Yet, much of the research findings are made under a number of well-known experimental paradigms in well-controlled experimental settings. It remains to be explored to what extent the general principles governing the workings of the brain thus discovered can be generalized beyond the confines of the laboratories and how the rich and varying context of the natural and real world will complicate the relatively simple pictures emerged from the highly simplified laboratory environment. Recent development in portable and wireless systems of electroencephalography and advances in blind source separation techniques made it feasible for researchers to explore the possibility of extracting functionally interpretable neuronal source signals from EEG. Building upon our past work on the application of SOBI to MEG and EEG data, in this study, we collected data using a wireless 32 channel systems (Brain Vision Products) during a variety of natural human activities, previously considered not feasible for making measurement of underlying generators of neural activity using EEG. We include activities that are known to generate ocular, articulation, and body movement artifact, as in the case of (1) reading naturally with free eye movement and aloud; (2) walking around naturally while speaking and during natural head turning; (3) full body physical exercise. We also include activities that involve practicing of different mental states, such as different meditation states. Application of SOBI to each set of data of a few minute long resulted in recovery of certain SOBI components similar to those recovered in laboratory settings, indicating many underlying neural networks observable in highly constrained laboratory conditions can also be tracked combining EEG with SOBI in the artifact ridden natural world. SOBI components unique to natural activities and certain meditation states could also be found.

 

 

 

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