• DocumentCode
    1661693
  • Title

    The immune system: a neglected challenge for network theorists

  • Author

    Hoffmann, Geoffrey W.

  • Author_Institution
    Dept. of Phys., British Columbia Univ., Vancouver, BC, Canada
  • fYear
    1989
  • Firstpage
    1620
  • Abstract
    The immune system is an N-dimensional network that has memory and learns. The system is compared with feedforward and recurrent neural networks, and it is suggested that more attention should be paid to this field by theorists. A symmetrical network model of the immune system is briefly outlined
  • Keywords
    biocybernetics; learning systems; neural nets; N-dimensional network; feedforward networks; immune system; neglected challenge for network theorists; recurrent neural networks; symmetrical network model; Biological neural networks; Cells (biology); Central nervous system; Feedforward neural networks; Feedforward systems; Immune system; Neural networks; Neurofeedback; Physics; Recurrent neural networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 1989., IEEE International Symposium on
  • Conference_Location
    Portland, OR
  • Type

    conf

  • DOI
    10.1109/ISCAS.1989.100673
  • Filename
    100673
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1661693