1. 哈尔滨工业大学计算机科学与技术学院,黑龙江,哈尔滨,150001
2. 西北师范大学数学与信息科学学院,甘肃,兰州,730070
3. 哈尔滨工业大学计算机科学与技术学院黑龙江哈尔滨,150001
4. 西北师范大学数学与信息科学学院甘肃兰州,730070
纸质出版:2008
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蔺想红, 张田文. 指数突触电导IF神经元模型 及事件驱动模拟策略[J]. 电子学报, 2008,36(8):1495-1501.
LIN Xiang-hong, ZHANG Tian-wen. An Integrate-and-Fire Neuron Model with Exponential Synaptic Conductances for Event-Driven Simulation Strategy[J]. Acta Electronica Sinica, 2008, 36(8): 1495-1501.
提出了一种新的可进行精确模拟的指数突触电导Integrate-and-Fire(IF)神经元模型
通过单脉冲激励的突触后电位和多脉冲激励的自发放电统计分析
发现该模型的脉冲反应动态特性与指数突触电导被动膜方程模型接近
而计算效率接近脉冲耦合漏电IF模型.同时构建了指数突触电导IF神经元模型的事件驱动模拟策略
并分别应用事件驱动和时钟驱动模拟策略模拟了基于动态突触的随机网络
结果表明:(1)在事件驱动模拟策略中
模拟时间和总的脉冲事件数线性成比例;(2)在不同的模拟策略中
脉冲事件的时间精度会影响网络的神经动态特性.
In this paper we propose a novel integrate-and-fire(IF)neuron model with exponential synaptic conductances that can be simulated exactly.The postsynaptic potentials and spontaneous discharge statistics of the new model are compared with those of commonly used models
such as the leaky IF model with instantaneous synaptic interactions or the passive membrane equation(PME)model with exponential synaptic conductances in which conductances are explicitly integrated.The proposed model is much closer to the PME model with respect to the spiking response dynamics
while still being nearly as computationally efficient as simple leaky IF model.Then we present an event-driven simulation strategy for the new model.Using event-driven and clock-driven simulation strategies we simulate random network with dynamic synapses
the results indicate that(1)the simulation time scales linearly with the total number of spiking events in the event-driven simulation strategies and(2)the temporal precision of spiking events impacts on neuronal dynamics of network in the different simulation strategies.
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