• 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