Learning in neural network memories

被引：43

作者：

Abbott, L. F. ^{[1
]}

机构：

[1] Brandeis Univ, Dept Phys, Waltham, MA 02254 USA

来源：

NETWORK-COMPUTATION IN NEURAL SYSTEMS | 1990年 / 1卷 / 01期

关键词：

D O I：

10.1088/0954-898X/1/1/008

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Various algorithms for constructing a synaptic coupling matrix which can associatively map input patterns onto nearby stored memory patterns are reviewed. Issues discussed include performance, capacity, speed, efficiency and biological plausibility.

引用

页码：105 / 122

页数：18

共 102 条

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