Dynamics of temporal activity in multi-state neural networks

被引：3

作者：

Shim, GM

Wong, KYM

Bolle, D

机构：

[1] KATHOLIEKE UNIV LEUVEN,INTERDISCIPLINAIR CTR NEURALE NETWERKEN,B-3001 LOUVAIN,BELGIUM

[2] INT CTR THEORET PHYS,CONDENSED MATTER SECT,I-34014 TRIESTE,ITALY

[3] HONG KONG UNIV SCI & TECHNOL,DEPT PHYS,KOWLOON,HONG KONG

[4] KATHOLIEKE UNIV LEUVEN,INST THEORET FYS,B-3001 LOUVAIN,BELGIUM

来源：

JOURNAL OF PHYSICS A-MATHEMATICAL AND GENERAL | 1997年 / 30卷 / 08期

关键词：

D O I：

10.1088/0305-4470/30/8/012

中图分类号：

O4 [物理学];

学科分类号：

0702 ;

摘要：

We consider the behaviour of multi-state neural networks averaged over an extended monitoring period of their dynamics. Pattern reconstruction by clipping the activities is proposed, leading to an improvement in retrieval precision.

引用

页码：2637 / 2652

页数：16

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