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关于3月12日(周二)周昌松学术报告的通知(School of Physics Colloquium)

发布时间:2024-03-02     来源:物理学系综合网     编辑:     浏览次数:250

题目:临界神经雪崩协调神经响应可靠性与敏感性实现最佳信息表征

报告人:周昌松 

邀请人:李敬源

时间:2024年3月12日(周二)15:00

地点:紫金港校区海纳苑8幢215报告厅

 

摘要:

Neural criticality has emerged as a unified framework that reconciles diverse multiscale neural dynamics such as the irregular firing of individual neurons, sparse synchrony in neural populations, and the emergence of scale-free avalanches. However, the functional role of neural criticality remains ambiguous. In particular, how highly sensitive and variable critical neural dynamics coexist with reliable neural representation is a unanswered question. In this study, we investigate the neural dynamics and representations in response to external signals in excitation–inhibition (E-I) balanced networks. Our findings reveal that, in contrast with the traditional critical branching model, the critical state of the balanced network simultaneously achieves maximal response sensitivity, maximal response reliability, and optimal representation of external signals. Moreover, we unveil a functional role of neural avalanches, which are not only a hallmark of criticality but also direct contributors to neural representation. By generalizing a semi-analytical mean-field theory, we demonstrate that heterogeneity in inhibitory connections is a mechanism underlying the heterogeneity of steady-state firing rates in the neural population, enabling the presence of signal-reliable neurons in reliable avalanches. Our study addresses a longstanding challenge concerning the functional significance of neural criticality -- the intricate coexistence of reliability and variability.

 

个人简介:

 

周昌松, 物理学博士,香港浸会大学物理系教授、系主任,浸会大学非线性研究中心主任,计算及理论研究所副所长,生命科学影像中心主任。1992年获南开大学物理学士, 1997年获南开大学物理博士,1997-2007年在新加坡、 香港、 德国等地从事访问研究, 是洪堡基金获得者。 2007年加入香港浸会大学物理系, 2011年获浸会大学“杰出青年研究者校长奖”,2021年获“杰出研究者校长奖”, 2023年获香港研究资助局“高级研究学者奖”。周昌松博士致力于复杂系统动力学基础研究及其应用,特别是网络的复杂联结结构与体系的动态行为的关系和相互作用。近几年与国际国内系统和认知神经科学家合作,把这些理论进展应用到大脑的复杂联结结构和活动以及认知功能及障碍的分析和建模等方面研究中。周昌松博士对生物神经网络复杂结构、动力学及其高成本效益如何启发类脑智能具有浓厚的兴趣。在国际交叉学术刊物 Nature Communications, PNAS,PRL,Physics Reports,National Science Review, Cell Reports, Journal of Neuroscience,NeuroImage,PLoS Computational Biology等发表论文170余篇 (Google Scholar引用18100余次,H-因子为52)。任Scientific Reports 编委,PLoS One,Cognitive Neurodynamics学术编辑,及多种国际期刊常任审稿人。

 


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