• DocumentCode
    1644174
  • Title

    A neurocognitive approach to self-organisation of verb actions

  • Author

    Elshaw, Mark ; Wermter, Stefan

  • Author_Institution
    Hybrid Intelligent Syst. Group, Univ. of Sunderland, UK
  • Volume
    1
  • fYear
    2002
  • fDate
    6/24/1905 12:00:00 AM
  • Firstpage
    29
  • Lastpage
    34
  • Abstract
    Our approach integrates some neuroscience evidence for regional distributed modularity with cognitive evidence for action verb processing. The long-term goal is to provide a computational model for a neurally inspired self-organising robot action control system. Regional modularity in the brain involves distributed neural networks in diverse regions processing in a parallel manner. According to neurocognitive findings, action verbs are processed by associating specific cell assemblies with the appropriate body part. We present a model of the neurocognitive findings using self-organising networks that cluster action verbs into different locations or the network dependent on the body part they are associated with
  • Keywords
    Hebbian learning; brain models; neurophysiology; self-organising feature maps; action verb processing; body part; brain; cell assemblies; computational model; distributed neural networks; neurally inspired self-organising robot action control system; neurocognitive approach; regional distributed modularity; self-organisation; verb actions; Brain modeling; Cerebral cortex; Electroencephalography; Hebbian theory; Hybrid intelligent systems; Magnetic field measurement; Magnetic resonance imaging; Neurons; Positron emission tomography; Speech;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 2002. IJCNN '02. Proceedings of the 2002 International Joint Conference on
  • Conference_Location
    Honolulu, HI
  • ISSN
    1098-7576
  • Print_ISBN
    0-7803-7278-6
  • Type

    conf

  • DOI
    10.1109/IJCNN.2002.1005437
  • Filename
    1005437