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

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 bra...

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Bibliographic Details
Published in:Neural networks 2000-11, Vol.13 (8-9), p.923-940
Main Authors: Taylor, J G, Horwitz, B, Shah, N J, Fellenz, W A, Mueller-Gaertner, H W, Krause, J B
Format: Article
Language:English
Subjects:
Association Learning - physiology
Brain
Brain - physiology
Brain Mapping
Cerebral Cortex - physiology
Humans
Language
Learning systems
Mathematical models
Memory - physiology
Models, Neurological
Models, Psychological
Neurophysiology
Signal encoding
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Summary: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 traffic' 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.
ISSN:0893-6080
DOI:10.1016/S0893-6080(00)00054-X