• DocumentCode
    296155
  • Title

    Areas vs. layers: biological aspects of neural network design

  • Author

    Born, Christof

  • Author_Institution
    Inst. fur Neuroinf., Ruhr-Univ., Bochum, Germany
  • Volume
    4
  • fYear
    1995
  • fDate
    Nov/Dec 1995
  • Firstpage
    1995
  • Abstract
    Based on the principles found in biological systems a neural network model is proposed that finds a robust and adaptive representation of signal space. The self-organizing sub-networks analyze different signal properties. Local dynamics are used for signal-driven adaptation of network parameters
  • Keywords
    image representation; neurophysiology; physiological models; self-organising feature maps; vision; adaptive representation; biological systems; local dynamics; neural network design; receptive field; self-organizing sub-networks; signal space; vision; Artificial neural networks; Biological neural networks; Biological system modeling; Biological systems; Chemicals; Neural networks; Neurons; Robustness; Signal design; Vector quantization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 1995. Proceedings., IEEE International Conference on
  • Conference_Location
    Perth, WA
  • Print_ISBN
    0-7803-2768-3
  • Type

    conf

  • DOI
    10.1109/ICNN.1995.488978
  • Filename
    488978
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=296155