Self-control in sparsely coded networks

被引：27

作者：

Dominguez, DRC ^{[1
]}

Bolle, D ^{[1
]}

机构：

[1] Katholieke Univ Leuven, Inst Theoret Fys, B-3001 Louvain, Belgium

来源：

PHYSICAL REVIEW LETTERS | 1998年 / 80卷 / 13期

关键词：

D O I：

10.1103/PhysRevLett.80.2961

中图分类号：

O4 [物理学];

学科分类号：

0702 ;

摘要：

A complete self-control mechanism is proposed in the dynamics of neural networks through the introduction of a time-dependent threshold, determined in function of both the noise and the pattern activity in the network. Especially for sparsely coded models this mechanism is shown to considerably improve the storage capacity, the basins of attraction, and the mutual information content.

引用

页码：2961 / 2964

页数：4

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