Abstract:As an excellent functional system, brains are capable of computation and communication through efficient performance with low cost. However, how the cost-efficiency trade-off is achieved is not fully understood. We studied the evidence of the trade-off between cost and functional values in both neural connectivity and activity using computational modeling. For the connectivity, we considered the cortico-cortical projection network of Macaque and compared the real connectivity to optimally reconstructed networks under the constraints of wiring cost and processing efficiency. We showed that the connectivity could be maximally recovered with a proper trade-off between the constraints. For the activity, we studied the relationship between firing rate and the dynamical modes in neuronal network with a balance of excitation and inhibition. We found that in the biological parameter regime, the dynamics can provide maximal information capacity with the minimal firing rate (metabolic cost). Currently, we are studying the constructive integration of the network connectivity and activity in terms of cost-efficiency trade-off. Researches in this direction could provide a unified framework to understand the structure-dynamics-function relationship across different scales in the brain and inspire new tools for the analysis of multimodal experimental data in normal and abnormal brains.

 

报告人简介: 周昌松, 博士，香港浸会大学物理系副教授，浸会大学非线性研究中心及北京-香港-新加坡非线性复杂系统联合中心主任。1992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”。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集体动态行为的关系和相互作用, 包括振子网络同步, 疾病传播, 人类动力学等。最近几年一直与国际国内系统和认知神经科学家紧密合作，把这些理论进展应用到大脑的复杂联结和活动的多模态多尺度非线性动态融合分析和建模等方面研究中。在国际交叉学术刊物PNAS，PRL等发表论文90余篇，引用4200余次，H-因子为28。任多种国际期刊常任审稿人, Nature 子刊 Scientific Reports 编委,美国公共图书馆杂志PLoS One 学术编辑。

  

Date&Time: June 7, 2013 (Friday),9:30 -10:30
Location:  606 Conference Room