Parallel Activation of Memories in an Oscillatory Neural Network

被引：45

作者：

Horn, D. ^{[1
]}

Usher, M. ^{[1
]}

机构：

[1] Tel Aviv Univ, Sch Phys & Astron, Raymond & Beverly Sackler Fac Exact Sci, IL-69978 Tel Aviv, Israel

来源：

NEURAL COMPUTATION | 1991年 / 3卷 / 01期

关键词：

D O I：

10.1162/neco.1991.3.1.31

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

We describe a feedback neural network whose elements possess dynamic thresholds. This network has an oscillatory mode that we investigate by measuring the activities of memory patterns as functions of time. We observe spontaneous and induced transitions between the different oscillating memories. Moreover, the network exhibits pattern segmentation, by oscillating between different memories that are included as a mixture in a constant input. The efficiency of pattern segmentation decreases strongly as the number of the input memories is increased. Using oscillatory inputs we observe resonance behavior.

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页码：31 / 43

页数：13

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