计算机工程与应用2017，Vol.53Issue(2)：6-11,20,7.DOI:10.3778/j.issn.1002-8331.1607-0233
Spiking神经元输入脉冲扰动敏感性研究
Research on Spiking neuron sensitivity to input perturbation
摘要
Abstract
Spiking network is a kind of neural network model based on biological neuronal behavior. Its input and output are firing times of spikes and its working mechanism is more like the biological neural network. Information transfer between spiking neurons is encoded in the timing of individual spike times and due to this temporal coding its learning performance is better. The time characteristic of spiking neuron leads to its complex working mechanism, while the sensitivity of spiking neuron which reflects the perturbation of output caused by input perturbation can be used as a tool of researching on inner working mechanism of spiking neuron. Unlike the traditional neural network, the definition of sensitivity of spiking neuron is the ratio of the number of changed output spike times to the running time of the neuron and it can reflect directly the influence of input perturbation. The analysis of the sensitivity caused by different input perturbation shows the sensitivity of spiking neuron is complicated. The sensitivity is a constant when all the synapses are perturbed equally and different perturbed synapses will cause different sensitivity.关键词
脉冲神经元/敏感性/突触/扰动Key words
spiking neuron/sensitivity/synapse/perturbation分类
信息技术与安全科学引用本文复制引用
杨静,徐彦,赵欣..Spiking神经元输入脉冲扰动敏感性研究[J].计算机工程与应用,2017,53(2):6-11,20,7.基金项目
国家自然科学基金（No.61503031，No.61403205）；广东省科技计划项目（No.2016A040403029）；广东省学科共建项目（No.GD15XGL02）。 （）
