• DocumentCode
    3241755
  • Title

    Spatiotemporal Processing in a Spiking Neural P System

  • Author

    Reid, David ; Barrett-Baxendale, Mark

  • Author_Institution
    Liverpool Hope Univ., Liverpool, UK
  • fYear
    2009
  • fDate
    14-16 Dec. 2009
  • Firstpage
    394
  • Lastpage
    399
  • Abstract
    There has been considerable recent activity in the area of Spiking Neural P systems and notably, their extension by the simulation of astrocytes. Work in this area has focused on intracellular interaction between astrocytes and neurons. This paper further extends this idea by considering extracellular communication between astrocytes, in particular linking the astrocytes in a network that draws on the powerful feature extraction properties of a ¿reservoir computer¿. Also, current spiking neural P systems model the synapse in a simplistic way that does not take account of the effects of varying axon length. In an attempt to address this, the authors discuss the use of fuzzy techniques as a possible means to model the effect of axonal length on the post synaptic potential in a more realistic way.
  • Keywords
    biology computing; feature extraction; fuzzy set theory; neural nets; astrocytes simulation; extracellular communication; fuzzy techniques; intracellular interaction; post synaptic potential; spatiotemporal processing; spiking neural P systems; Biological system modeling; Biomembranes; Computer networks; Extracellular; Joining processes; Nerve fibers; Neural networks; Neurons; Neurotransmitters; Spatiotemporal phenomena; P-system; Spike; fuzzy; membrane; neural; reservoir;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Developments in eSystems Engineering (DESE), 2009 Second International Conference on
  • Conference_Location
    Abu Dhabi
  • Print_ISBN
    978-1-4244-5401-3
  • Electronic_ISBN
    978-1-4244-5402-0
  • Type

    conf

  • DOI
    10.1109/DeSE.2009.24
  • Filename
    5395155