Associative symmetry vs. independent associations

被引：15

作者：

Rizzuto, DS ^{[1
]}

Kahana, MJ ^{[1
]}

机构：

[1] Brandeis Univ, Volen Ctr Complex Syst, Waltham, MA 02454 USA

来源：

NEUROCOMPUTING | 2000年 / 32卷

关键词：

associations; memory; neural networks; symmetry;

D O I：

10.1016/S0925-2312(00)00268-X

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

We develop a neural network model of paired-associate learning based upon an autoassociative learning mechanism. We show that this relatively simple neural network can replicate complex human behavioral data, but only when the correlation between forward and backward learning is highly correlated. This network-based analysis is used to constrain psychological theories of association in humans. (C) 2000 Elsevier Science B.V. All rights reserved.

引用

页码：973 / 978

页数：6

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