DocumentCode
2258465
Title
The frontal lobes and executive function
Author
Taylor, Jg ; Taylor, Nr ; Bapi, R. ; Bugmann, G. ; Levine, D.
Author_Institution
Dept. of Math., King´´s Coll., London, UK
Volume
1
fYear
2000
fDate
2000
Firstpage
41
Abstract
From the viewpoint of neural network modelling via nonlinear dynamical systems, it is useful to break down the overall executive function (EF) into smaller components that repeatedly occur in different tasks and in different combinations. The tasks whose models are described suggest three generic components that commonly occur, all related to aspects of pre-frontal function: 1) establishing links between working memory representations which could represent sensory stimuli and potential motor actions; 2) creating, learning, and deciding among high-level schemata that embody repeatable, but often flexible action sequences; and 3) incorporating affective evaluations of sensory events or potential motor plans and using these evaluations to guide actions. The network theory developed describes how the components of EF could arise from frontal system neuroanatomy
Keywords
brain models; learning (artificial intelligence); neural nets; neurophysiology; nonlinear dynamical systems; executive function; flexible action sequences; frontal lobes; learning; neural network modelling; neurophysiology; nonlinear dynamical systems; Basal ganglia; Biological neural networks; Brain modeling; Cerebral cortex; Educational institutions; Hippocampus; Kirchhoff´s Law; Lesions; Organisms; Viscera;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 2000. IJCNN 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on
Conference_Location
Como
ISSN
1098-7576
Print_ISBN
0-7695-0619-4
Type
conf
DOI
10.1109/IJCNN.2000.857811
Filename
857811
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