• DocumentCode
    2067037
  • Title

    Self-organization of mosaics in artificial neural networks for the visual cortex of the brain

  • Author

    Garliauskas, Algis

  • Author_Institution
    Lab. of Neuroinformatics, Inst. of Math. & Informatics, Vilnius, Lithuania
  • fYear
    2001
  • fDate
    18-21 Nov. 2001
  • Firstpage
    259
  • Lastpage
    264
  • Abstract
    The expressed layered structures in the cereberal and cerebellar cortices of the brain are attributed to most animals while the human and some primate neostriatum neurons are laid out as clustered higher and lower cell density mosaics. These ordered structures are probably formed by a self-organizing mechanism. which is widely discussed in the present paper. Considering theoretical principles and neuronal networks, the N-shaped current-voltage relation was included in the model and its influence on the stability and conditions of self-organization discussed. The formation of ordered structures was founded in vicinity of the equilibrium point. The concomitant computational experiment is made.
  • Keywords
    brain models; neurophysiology; physiological models; self-organising feature maps; stability; vision; N-shaped current-voltage relation; artificial neural networks; brain; cell density; cerebellar cortices; cereberal cortices; clustered mosaics; expressed layered structures; mosaic self-organization; primate neostriatum neurons; stability; visual cortex; Animal structures; Artificial neural networks; Biological neural networks; Brain modeling; Humans; Intelligent networks; Laboratories; Mathematics; Neurons; Stability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Information Systems Conference, The Seventh Australian and New Zealand 2001
  • Print_ISBN
    1-74052-061-0
  • Type

    conf

  • DOI
    10.1109/ANZIIS.2001.974087
  • Filename
    974087