• DocumentCode
    2579867
  • Title

    Keynote address I: From artificial to biologically-connected neural systems and behavior regeneration

  • Author

    Xin, Xu Jian

  • Author_Institution
    NUS, Singapore, Singapore
  • fYear
    2011
  • fDate
    3-5 June 2011
  • Firstpage
    1
  • Lastpage
    1
  • Abstract
    Artificial neural network is a class of biologically-inspired systems that offer solutions to various real-life problems. In this talk, we will present recent advances on neural systems at anatomical and system levels. Recent researches on C. elegans disclose the complete wire diagram of the synaptic connections and morphology of C. elegans associated with functionalities. This enables not only the biologically-inspired neural modeling, but also biologically-connected neural modeling using dynamic neural networks. Real animal behaviors can thus be explored and regenerated through the celebrated neural learning algorithms.
  • Keywords
    learning (artificial intelligence); neural nets; artificial neural network; behavior regeneration; biologically-connected neural modeling; biologically-connected neural systems; biologically-inspired neural modeling; biologically-inspired systems; dynamic neural networks; neural learning algorithm; Artificial neural networks; Biology; Conferences; Control systems; Evolutionary computation; Fellows; Robots;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Recent Trends in Information Technology (ICRTIT), 2011 International Conference on
  • Conference_Location
    Chennai, Tamil Nadu
  • Print_ISBN
    978-1-4577-0588-5
  • Type

    conf

  • DOI
    10.1109/ICRTIT.2011.5972489
  • Filename
    5972489