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
Link To Document :
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