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Type: Journal article
Title: Digital implementation of a biological astrocyte model and its application
Author: Soleimani, H.
Bavandpour, M.
Ahmadi, A.
Abbott, D.
Citation: IEEE Transactions on Neural Networks and Learning Systems, 2015; 26(1):127-139
Publisher: Institute of Electrical and Electronics Engineers
Issue Date: 2015
ISSN: 2162-237X
Statement of
Hamid Soleimani, Mohammad Bavandpour, Arash Ahmadi and Derek Abbott
Abstract: This paper presents a modified astrocyte model that allows a convenient digital implementation. This model is aimed at reproducing relevant biological astrocyte behaviors, which provide appropriate feedback control in regulating neuronal activities in the central nervous system. Accordingly, we investigate the feasibility of a digital implementation for a single astrocyte and a biological neuronal network model constructed by connecting two limit-cycle Hopf oscillators to an implementation of the proposed astrocyte model using oscillator-astrocyte interactions with weak coupling. Hardware synthesis, physical implementation on field-programmable gate array, and theoretical analysis confirm that the proposed astrocyte model, with considerably low hardware overhead, can mimic biological astrocyte model behaviors, resulting in desynchronization of the two coupled limit-cycle oscillators.
Keywords: Coupled limit-cycle oscillators; desynchronization; digital modified astrocyte model; field-programmable gate array (FPGA)
Rights: © 2014 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission. See for more information.
RMID: 0030014946
DOI: 10.1109/TNNLS.2014.2311839
Appears in Collections:Electrical and Electronic Engineering publications

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