Decomposing memory: functional assignments and brain traffic in paired word associate learning

被引：18

作者：

Taylor, JG

Horwitz, B

Shah, NJ

Fellenz, WA

Mueller-Gaertner, HW

Krause, JB

机构：

[1] Forschungszentrum Julich, Inst Med, D-52425 Julich, Germany

[2] Kings Coll London, Dept Math, London WC2R 2LS, England

[3] Natl Inst Deafness & Commun Disorders, Lanaguage Sect, NIH, Bethesda, MD USA

[4] Univ Dusseldorf, Dept Nucl Med, D-40225 Dusseldorf, Germany

[5] Forschungszentrum Julich, Dept Nucl Med KME, D-52425 Julich, Germany

来源：

NEURAL NETWORKS | 2000年 / 13卷 / 8-9期

关键词：

long-term memory; working memory; brain imaging; structural equation models; controlled encoding;

D O I：

10.1016/S0893-6080(00)00054-X

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The recent covariance structural equation model for word-pair associate encoding and retrieval (Krause, Horwitz, Taylor, Schmidt, Mottaghy, Halsband et al., 1998; Krause, Horwitz, Taylor, Schmidt, Mottaghy, Herzog et al., 1999) is analysed to deduce possible functional assignments of the various brain modules used by subjects in solving the task. Specific processing aspects are considered, in particular, that of long-term working memory sites and how they are coupled to buffer working memory sites to enable deposition and manipulation of remembered associates. The new concept of 'brain traffc' is introduced as an aid to the assessment of how important are various brain modules. A set of functional assignments is produced for the relevant modules. (C) 2000 Elsevier Science Ltd. All rights reserved.

引用

页码：923 / 940

页数：18

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