• DocumentCode
    3659865
  • Title

    Simple recurrent network in real time astrocyte

  • Author

    Bassam Abdul-Rahman Abed;Amelia Ritahani Ismail;Normaziah Abdul Aziz

  • Author_Institution
    Department of Computer science, International Islamic University Malaysia, Kuala lumpur, Malaysia
  • fYear
    2015
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    In this paper we propose simple recurrent network (SRN) and mathematical paradigm to model real time interaction of astrocyte in simplified spiking neural network (SRM0). Both Elman neural network and Jordan neural network are used in the proposed network. Elman neural network is connected to the synapse and Jordan neural network is connected to the postsynaptic neuron in tripartite synapse, the simulation results showed that whenever astrocytes were activating in a time window, more spikes will be fired for excitatory neurons. This is biologically justified since astrocytes induce excitability with variations in Ca2+ concentrations.
  • Keywords
    "Neurons","Mathematical model","Biological neural networks","Calcium","Recurrent neural networks","Context"
  • Publisher
    ieee
  • Conference_Titel
    Innovations in Intelligent SysTems and Applications (INISTA), 2015 International Symposium on
  • Type

    conf

  • DOI
    10.1109/INISTA.2015.7276765
  • Filename
    7276765