Author
Listed:
- 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)
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.
Suggested Citation
Osman Taylan & Mona Abusurrah & Ehsan Eftekhari-Zadeh & Ehsan Nazemi & Farheen Bano & Ali Roshani, 2021.
"Controlling Effects of Astrocyte on Neuron Behavior in Tripartite Synapse Using VHDL–AMS,"
Mathematics, MDPI, vol. 9(21), pages 1-15, October.
Handle:
RePEc:gam:jmathe:v:9:y:2021:i:21:p:2700-:d:663946
Download full text from publisher
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jmathe:v:9:y:2021:i:21:p:2700-:d:663946. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.