• DocumentCode
    3251919
  • Title

    Modeling neural growth and selective stabilization

  • Author

    Johnson, Mark A. ; Scanlon, Raymond D.

  • Author_Institution
    Benet Labs., Watervliet, NY, USA
  • Volume
    4
  • fYear
    1992
  • fDate
    7-11 Jun 1992
  • Firstpage
    61
  • Abstract
    The neocortex can be considered an important extension of the thalamus, evolving as it enhances survival. The authors´ investigation of the mechanisms of learning using the reality of neural evolution as a guide is discussed. Although cerebral organization is largely genetically determined, irreproducible patterns are produced during genesis of the cortex. During the profuse axonal growth in the early years of postnatal development, epigenetic experience provides the signal energy which flows through the thalamus to specific regions on the cortex to define the structure of the cortical connections. As the neural growth cones of the axons aggressively seek out places to form new synapses, redundant connections are formed that are eventually lost through experience. The remaining synapses form codons which channel signal energy and define regions of cortical activity when sensory input is interrupted by the thalamus. The results of a computer simulation of neuronal activity executed on a parallel processing system comprising 30 transputers are presented in detail
  • Keywords
    brain models; neural nets; transputer systems; cerebral organization; computer simulation; epigenetic experience; neocortex; neural growth; neuronal activity; selective stabilization; thalamus; Electronic circuits; Feedback circuits; Genetics; Humans; Laboratories; Muscles; Nerve fibers; Neurofeedback; Neurons; Topology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 1992. IJCNN., International Joint Conference on
  • Conference_Location
    Baltimore, MD
  • Print_ISBN
    0-7803-0559-0
  • Type

    conf

  • DOI
    10.1109/IJCNN.1992.227288
  • Filename
    227288