TRAINING SPIKING NEURONS WITH ISOLATED SPIKES CODING

被引：0

作者：

Pavaloiu, B. ^{[1
]}

Cristea, P. ^{[2
]}

机构：

[1] Univ Politehn Bucuresti, Fac Engn Foreign Languages, Bucharest, Romania

[2] Univ Politehn Bucuresti, Fac Elect Engn, Bucharest, Romania

来源：

UNIVERSITY POLITEHNICA OF BUCHAREST SCIENTIFIC BULLETIN SERIES C-ELECTRICAL ENGINEERING AND COMPUTER SCIENCE | 2007年 / 69卷 / 03期

关键词：

spiking neural network; integrate-and-fire; spiking response model; coding; timing coding; supervised training; perceptron training rule;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

The paper presents the structure and function of spiking neural networks. There are described the main models, as well as the modalities of data representation and processing. For an "Integrate-and-Fire" neuron, it is used a timing coding of input data. It is described a method of supervised training for this type of neuron and it is proved that an equivalent perceptron/ perceptron training rule can be found.

引用

页码：93 / 104

页数：12

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