Two suggested probabilistic and kinetic models for astrocytic network in spiking neural networks

Abdul-Rahman Abed, Bassam and Ayyoub, Belal and Ismail, Amelia Ritahani and Abdul Aziz, Normaziah and A. Hamdan, Mazen (2020) Two suggested probabilistic and kinetic models for astrocytic network in spiking neural networks. International Journal of Advanced Trends in Computer Science and Engineering, 9 (5). pp. 7951-7957. ISSN 2278-3091

PDF - Published Version Restricted to Registered users only Download (517kB) | Request a copy

Abstract

Astrocytes, the predominant glial cell type in the brain, were traditionallyconsidered as merely passive supportive cells without any important roles in synaptic information processing. In contrast, the contemporary view was given rise to show that astrocytes play active roles in synaptic neurotransmissionand information processing. Hence, recently two terms have been emerged, tripartite synapse, to describe the communication between an astrocyte and two neurons, and the term astrocytic syncytium or astrocytic network to describe the communication among the astrocytesby gap junction. Therefore, we propose mathematical models for tripartite synapseand astrocytic syncytium basedontwo-state kinetics models, several probabilistic methods and Spiking Neural Network (SNN) to introducenew Artificial Astrocytic Syncytium (AAS) model. The simulation results have shown that proposed model could represent the cellular intrinsic properties of astrocyte based on the spatial and temporal aspects to emulate the astrocytic network functions related to cognitive, learning and memory.

Item Type:	Article (Journal)
Additional Information:	5505/87452
Uncontrolled Keywords:	Astrocytic Syncytium, Gap Junction, Spiking Neural Network, Tripartite Synapse
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 Kulliyyah of Information and Communication Technology Kulliyyah of Information and Communication Technology
Depositing User:	Dr. Normaziah Abdul Aziz
Date Deposited:	31 Dec 2020 12:17
Last Modified:	31 Dec 2020 12:17
URI:	http://irep.iium.edu.my/id/eprint/87452

Actions (login required)

View Item