数学科学系

Department of Mathematical Sciences

Bilinearity of spatiotemporal dendritic integration in neurons

报告题目Bilinearity of spatiotemporal dendritic integration in neurons

 

报告人:周栋焯教授(上海交通大学自然科学研究院)

     

时间2014917日(星期三)10:00-11:00

 

地点:理科楼数学系A404会议室

 

摘要A neuron receives thousands of synaptic inputs from its dendrite and integrate them to process information. Many experimental results demonstrate the dendritic integration could be highly nonlinear, yet few theoretical analysis has been performed to obtain a precise quantitative characterization analytically. Based on asymptotic analysis of a passive cable model, we derive a bilinear spatiotemporal dendritic integration rule for a pair of time-dependent synaptic inputs. Surprisingly, the above rule, which is obtained from idealized models, can be verified both in simulations of a realistic pyramidal neuron model and in electrophysiological experiments of rat hippocampal CA1 neurons. Our results demonstrate that the integration of multiple synaptic inputs can be decomposed into the sum of all possible pairwise integration with each paired integration obeying a bilinear rule.

 

报告人简介:周栋焯博士于20022007年在北京大学数学科学学院计算数学专业获学士和博士学位,从20072月至200912月,他在美国纽约大学库朗研究所从事博士后研究,从20101月至今任上海交通大学数学系、自然科学研究院特别研究员。周栋焯博士目前的主要研究兴趣是理论和计算神经科学领域的科学问题,包括神经元网络动力学的数学性质与高性能计算方法的研究,针对神经生理实验现象的数学建模与动力学模拟的研究,以及发展相关对实验有帮助的数据处理方法等。他至今已发表SCI论文近20篇,其工作发表在如PNAS, PRL, PLoS Comput. Biol., PLoS ONE以及J. Comput. Neurosci.等应用数学与科学的国际重要期刊上。

 

联系人:吴昊