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数学学院、所系列学术报告(773场):Yao Li (李尧)助理教授

发表于: 2018-05-22 09:22  点击:
报告题目 :Neuron field models: beyond the mean-field approximation
 
报告摘要如下:
In this talk I will present my recent result about a stochastic neural field model that aims to describe the spiking activities of a small piece of cortex. Neurons in this model have a very simple version of integrate-and-fire dynamics, which makes the model mathematically tractable. At the same time, this model can produce very rich spiking patterns ranging from time-homogeneous spiking to fully synchronized spike volleys. I will present various rigorous and numerical results related to this model, including the stochastic stability, the mean- field approximations and their discrepancies, and the spatial correlation of spike counts.
 
报告人信息:
Yao Li (李尧)
Assistant Professor 助理教授
Department of Mathematics and Statistics
University of Massachusetts Amherst