个人信息Personal Information
副教授
博士生导师
硕士生导师
性别:女
毕业院校:大连理工大学
学位:博士
所在单位:数学科学学院
学科:计算数学
办公地点:大连理工大学数学科学学院505
联系方式:0411-84708351-8205
电子邮箱:yangjiee@dlut.edu.cn
A Modified Spiking Neuron that Involves Derivative of the State Function at Firing Time
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论文类型:期刊论文
发表时间:2012-10-01
发表刊物:NEURAL PROCESSING LETTERS
收录刊物:SCIE、EI、Scopus
卷号:36
期号:2
页面范围:135-144
ISSN号:1370-4621
关键字:Spiking neuron; Firing time; Derivative of the state function
摘要:In usual spiking neural networks, the real world information is interpreted as spike time. A spiking neuron of the spiking neural network receives input vector of spike times, and activates a state function x(t) by increasing the time t until the value of x(t) reaches certain threshold value at a firing time t (a) . And t (a) is the output of the spiking neuron. In this paper we propose, and investigate the performance of, a modified spiking neuron, of which the output is a linear combination of the firing time t (a) and the derivative x'(t (a) ). The merit of the modified spiking neuron is shown by numerical experiments for solving some benchmark problems: The computational time of a modified spiking neuron is a little greater than that of a usual spiking neuron, but the accuracy of a modified spiking neuron is almost as good as a usual spiking neural network with a hidden layer.