Controlling Effects of Astrocyte on Neuron Behavior in Tripartite Synapse Using VHDL–AMS

Osman Taylan, Mona Abusurrah, Ehsan Eftekhari-Zadeh, Ehsan Nazemi, Farheen Bano and Ali Roshani
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Osman Taylan: Department of Industrial Engineering, Faculty of Engineering, King Abdulaziz University, P.O. Box 80204, Jeddah 21589, Saudi Arabia
Mona Abusurrah: Department of Management and Information Systems, College of Business Administration, Taibah University, Medina 42353, Saudi Arabia
Ehsan Eftekhari-Zadeh: Institute of Optics and Quantum Electronics, Friedrich Schiller University Jena, Max-Wien-Platz 1, 07743 Jena, Germany
Ehsan Nazemi: Imec-Vision Lab, Department of Physics, University of Antwerp, 2610 Antwerp, Belgium
Farheen Bano: Department of Industrial Engineering, Faculty of Engineering, King Abdulaziz University, P.O. Box 80204, Jeddah 21589, Saudi Arabia
Ali Roshani: Computer Engineering Department, Kermanshah University of Technology, Kermanshah 6715685420, Iran

Mathematics, 2021, vol. 9, issue 21, 1-15

Abstract: Astrocyte cells form the largest cell population in the brain and can influence neuron behavior. These cells provide appropriate feedback control in regulating neuronal activities in the Central Nervous System (CNS). This paper presents a set of equations as a model to describe the interactions between neurons and astrocyte. A VHDL–AMS-based tripartite synapse model that includes a pre-synaptic neuron, the synaptic terminal, a post-synaptic neuron, and an astrocyte cell is presented. In this model, the astrocyte acts as a controller module for neurons and can regulates the spiking activity of them. Simulation results show that by regulating the coupling coefficients of astrocytes, spiking frequency of neurons can be reduced and the activity of neuronal cells is modulated.

Keywords: neuron; astrocyte; tripartite synapse (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2021
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