Real time astrocyte in spiking neural network

Abdul-Rahman Abed, Bassam and Ismail, Amelia Ritahani and Abdul Aziz, Normaziah (2015) Real time astrocyte in spiking neural network. In: 2015 SAI Intelligent Systems Conference (IntelliSys 2015), 10th-11th Nov. 2015, London, United Kingdom.

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Abstract

Astrocytes, one type of glial cells, are considered to be an active partner to neurons in processing information of Central Nervous System (CNS). Therefore, studying the interaction between the astrocytes and neurons is important to create a novel model for Artificial Neuron-Glial Networks (ANGN). In this paper, a novel model for (ANGN) is proposed to model the real time interaction between Astrocytes and neurons by using Spiking Neural Networks (SNNs) and mathematical models for astrocyte-neuron interaction. How could this proposed model will be biologically inspired to model the real time interaction between astrocytes and neurons and to improve the performance of the SNN? However, these mathematical models are generalized and simplified to be used in the proposed network. The performance of the proposed network was compared with standard SNN and the simulation results showed that the proposed model evoked more spikes to fire whenever astrocytes were activating in a time window. This indicates that astrocytes are playing significant roles in processing information of the ANGN.

Item Type:	Conference or Workshop Item (Invited Papers)
Additional Information:	4296/47026 (ISBN: 978-1-4673-7606-8, DOI: 10.1109/IntelliSys.2015.7361196)
Uncontrolled Keywords:	Spiking Response Model; Spiking Neural Network; Astrocytes
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
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:	14 Jan 2016 14:14
Last Modified:	18 Sep 2017 17:08
URI:	http://irep.iium.edu.my/id/eprint/47026

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