A reduction of spiking neuronal network dynamics: from homogeneity to synchrony
主 题: A reduction of spiking neuronal network dynamics: from homogeneity to synchrony
报告人: 张继伟 (北京计算科学研究中心)
时 间: 2016-06-22 10:00 - 11:00
地 点: 大阳城2138理科一号楼1479室（北京计算数学学会系列报告）
Networks of neurons in the brain are collectively capable of exhibiting a variety of interesting dynamical phenomena. The network’s dynamics can be quite complicated, involving correlations across the neurons in the network and across time. The correlation may not be obviously related to the architecture of the network itself. One of the challenges in neuroscience is to develop a language which can be used to parsimoniously describe these complicate dynamics, that is to say, a way of systematically coarse-graining the network. In this talk I will briefly review some of standard methods for coarse-graining and highlight the regimes for which they fail, then I will also introduce some recent approaches that we have tried, as well as possible direction for future works.
报告人简介：
北京计算科学研究中心特聘研究员。张博士于
2009
年获得香港浸会大学博士学位，先后到南洋理工和纽约大学柯朗所做博士后研究。
现从事
无界区域偏微分方程、非局域问题的数值算法，以及神经科学的建模与计算方面的研究。目前
发表学术论文
20
余篇，
部分结果
分别发表在
SIAM J. Numer. Anal., SIAM J. Sci. Comput., J. Comput. Neurosci.
等业内权威杂志上。
