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
收藏
页码：612 / 617
页数：6
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