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Published in: Journal of Computational Electronics 3/2018

06-07-2018

Digital configuration of astrocyte stimulation as a new technique to strengthen the impaired astrocytes in the tripartite synapse network

Authors: Masoud Amiri, Soheila Nazari, Mahyar Janahmadi

Published in: Journal of Computational Electronics | Issue 3/2018

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Abstract

Recent findings have proven that glial cells and particularly astrocytes are responsible for some important roles in the central nervous system. Due to laboratory technical difficulties in the examination of astrocyte’s functions in information processing of neural systems, computational modeling is a suitable approach. In this paper, the process of synchronization in neuronal fluctuations in view of the role of astrocytes was investigated. Then, due to the destructive effects of hyper-synchronization, based on the dynamical model of the astrocyte biophysical model, a new bio-inspired stimulator was introduced. Many patients suffer from astrocyte-related epilepsy; however, drugs that affect astrocytes are not available currently. Therefore, here a new concept of “stimulating the impaired astrocytes to compensate for their malfunction” was introduced. This new mechanism was proposed to stimulate the impaired astrocytes in a population of tripartite synapses for restoration of the normal neural oscillations. Finally, a closed-loop interaction between the proposed stimulating method and a population of tripartite synapses was implemented on a Zynq system-on-chip (SoC) platform from Xilinx, because the Zynq SoC is an appropriate control platform in the implementation of the proposed architecture. Stimulator hardware design was optimized to attain a very low power consumption platform in real-time application. Results of hardware and software simulations confirmed that hyper-synchronization of a neuronal population caused by astrocytes dysfunction could be compensated by the bio-inspired stimulator.

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Metadata
Title
Digital configuration of astrocyte stimulation as a new technique to strengthen the impaired astrocytes in the tripartite synapse network
Authors
Masoud Amiri
Soheila Nazari
Mahyar Janahmadi
Publication date
06-07-2018
Publisher
Springer US
Published in
Journal of Computational Electronics / Issue 3/2018
Print ISSN: 1569-8025
Electronic ISSN: 1572-8137
DOI
https://doi.org/10.1007/s10825-018-1207-8

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