Simple recurrent network in real time astrocyte

Abdul-Rahman Abed, Bassam and Ismail, Amelia Ritahani and Abdul Aziz, Normaziah (2015) Simple recurrent network in real time astrocyte. In: 2015 International Symposium on Innovations in Intelligent Systems and Applications (INISTA), 2nd-4th Sept. 2015, Madrid, Spain.

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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

Item Type:	Conference or Workshop Item (Invited Papers)
Additional Information:	4296/44950 (ISBN: 978-1-4673-7751-5, DOI: 10.1109/INISTA.2015.7276765)
Uncontrolled Keywords:	Simple recurrent network, Spiking Response Model, Astrocytes, Elman neural network, Jordan neural network
Subjects:	Q Science > QA Mathematics > QA76 Computer software
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Information and Communication Technology > Department of Computer Science Kulliyyah of Information and Communication Technology > Department of Computer Science
Depositing User:	Amelia Ritahani Ismail
Date Deposited:	22 Oct 2015 14:58
Last Modified:	25 Sep 2017 11:03
URI:	http://irep.iium.edu.my/id/eprint/44950

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