• DocumentCode
    2407336
  • Title

    Novel comprehensive Bionic Neuron unified model

  • Author

    Lv Jin ; Yang Xiao-Jun ; Guo Chen

  • Author_Institution
    Sch. of Inf. Eng., Chang´an Univ., Xi´an, China
  • fYear
    2009
  • fDate
    15-16 May 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Synthesize the 12 basic characteristics of the biologic neuron universally approbated by current biomedical and the engineering science field, and based on it put forward a novel unified framework model of artificial neuron --- Comprehensive Bionic Neuron which reflect more complete characteristics of the biologic neuron. Using this unified model to represent the various familiar neuron models and various learning algorithms, its validity is proved.
  • Keywords
    biocybernetics; learning (artificial intelligence); neural nets; artificial intelligence; artificial neural network; biologic neuron; biomedical engineering; bionic neuron; learning algorithms; unified model; Artificial intelligence; Artificial neural networks; Automation; Biological system modeling; Biology; Biomedical engineering; Educational institutions; Electronic mail; Mechatronics; Neurons; artificial intelligence; artificial neural network; neuron model; unified model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Mechatronics and Automation, 2009. ICIMA 2009. International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4244-3817-4
  • Type

    conf

  • DOI
    10.1109/ICIMA.2009.5156545
  • Filename
    5156545