Self-organizing Digital Spike Interval Maps

被引：0

作者：

Ogawa, Takashi ^{[1
]}

Saito, Toshimichi ^{[1
]}

机构：

[1] Hosei Univ, Tokyo 1848584, Japan

来源：

NEURAL INFORMATION PROCESSING, PT II | 2011年 / 7063卷

关键词：

Spiking neurons; inter-spike-interval; supervised learning; BIFURCATIONS; NEURON; MODEL;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper studies digital spike interval maps and its learning algorithm. The map can output a variety of digital spike-trains. In order to learn a desired spike-train, two maps are switched by the contradiction detector and they evolve with self-organizing and growing functions. Performing basic numerical experiments for two examples, algorithm efficiency is confirmed.

引用

页码：612 / 617

页数：6

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