Volume 17, Issue 3 (September 2021)                   IJEEE 2021, 17(3): 1626-1626 | Back to browse issues page


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Najafniya Z, Karimi G, Ranjbar M. Role of Astrocyte in Desynchronization Analogue Neural Network. IJEEE 2021; 17 (3) :1626-1626
URL: http://ijeee.iust.ac.ir/article-1-1626-en.html
Abstract:   (2533 Views)
Neural synchronization is considered as a key role in several neurological diseases, such as Parkinson’s and Epilepsy’s disease. During these diseases, there is increased synchronization of massive numbers of neurons. In addition, evidences show that astrocytes modulate the synaptic interactions of the neuronal population. The Astrocyte is an important part of a neural network that can be involved in the desynchronization of the neuronal population. In this paper, we design a new analog neuromorphic circuit to implement the effect of astrocyte in the desynchronization of neural networks. The simulation results demonstrate that the astrocyte circuit as a feedback path can be desynchronized to a synchronized neural population. In this circuit, as a first step, the population of twenty neurons is synchronized with the same input currents. Next, by involving an astrocyte feedback circuit, the synchronization of the neural network is disturbed. Then, the neuronal population will be desynchronized. The proposed circuit is designed and simulated using HSPICE simulator in 0.35 μm standard CMOS technology.
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  • Proposing a new analog neuromorphic circuit to implement the effect of astrocyte in desynchronization of the neural network;
  • Proposing a population of twenty neurons is synchronized with the same input currents;
  • By involving the astrocyte feedback circuit, the synchronization of the neural network is disturbed;
  • The proposed circuit is designed and simulated using HSPICE simulator in 0.35μm standard CMOS technology.

Type of Study: Research Paper | Subject: Biological Modeling & Simulation
Received: 2019/09/29 | Revised: 2020/12/09 | Accepted: 2020/12/24

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Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

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© 2022 by the authors. Licensee IUST, Tehran, Iran. This is an open access journal distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) license.