Pattern recognition via synchronization in phase-locked loop neural networks

被引：352

作者：

Hoppensteadt, FC ^{[1
]}

Izhikevich, EM

机构：

[1] Arizona State Univ, Ctr Syst Sci & Engn, Tempe, AZ 85287 USA

[2] Inst Neurosci, San Diego, CA 92121 USA

来源：

IEEE TRANSACTIONS ON NEURAL NETWORKS | 2000年 / 11卷 / 03期

关键词：

brain rhythms; oscillatory associative memory; temporal pattern recognition; voltage-controlled oscillators (VCO's);

D O I：

10.1109/72.846744

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

We propose a novel architecture of an oscillatory neural network that consists of phase-locked loop (PLL) circuits. It stores and retrieves complex oscillatory patterns as synchronized states with appropriate phase relations between neurons.

引用

页码：734 / 738

页数：5

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