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