A Simplified Algorithm Based on IF Model

被引:0
|
作者
Liu, Xianfeng [1 ]
Zuo, Yamin [1 ]
机构
[1] Changzhou Vocat Inst Mechatron Technol, Changzhou 213164, Jiangsu, Peoples R China
关键词
Neural network; IF model; STDP;
D O I
10.1007/978-3-319-46257-8_1
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The ability of the connection between two neurons (synapse) to change in strength in response to neural activity is known as synaptic plasticity. Experimental data has shown that synaptic plasticity can depend upon the relative timings of pre- and postsynaptic neuron spikes - this is known as spike-timing-dependent plasticity (STDP). It is proposed that the traditional IF model with STDP can simulate the natural properties of biological neuron much better. This paper proposes a new algorithm based on the IF model with STDP, and simulated in MATLAB. Experimental results have indicated that algorithm can reflect the performance of nerve cells and has a better bionic function.
引用
收藏
页码:1 / 9
页数:9
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