• DocumentCode
    3229617
  • Title

    Timed spiking neural P systems

  • Author

    Peng, Hong ; Wang, Jun ; Zhang, Gexiang ; Gheorghe, Marian

  • Author_Institution
    Sch. of Math. & Comput. Eng., Xihua Univ., Chengdu, China
  • fYear
    2010
  • fDate
    23-26 Sept. 2010
  • Firstpage
    591
  • Lastpage
    595
  • Abstract
    In this paper, we present a new class of spiking neural P systems for handling temporal information and representing temporal knowledge, called timed spiking neural P systems. A new firing principle is introduced into the timed spiking neural P systems instead of original firing and delay mechanisms in spiking neural P systems. The timed spiking neural P systems can effectively represent both qualitative and quantitative temporal information.
  • Keywords
    knowledge representation; neural nets; spiking neural P systems; temporal information; temporal knowledge representation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bio-Inspired Computing: Theories and Applications (BIC-TA), 2010 IEEE Fifth International Conference on
  • Conference_Location
    Changsha
  • Print_ISBN
    978-1-4244-6437-1
  • Type

    conf

  • DOI
    10.1109/BICTA.2010.5645192
  • Filename
    5645192