Digital implementation of a biological astrocyte model and its application
Date
2015
Authors
Soleimani, H.
Bavandpour, M.
Ahmadi, A.
Abbott, D.
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Journal article
Citation
IEEE Transactions on Neural Networks and Learning Systems, 2015; 26(1):127-139
Statement of Responsibility
Hamid Soleimani, Mohammad Bavandpour, Arash Ahmadi and Derek Abbott
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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.
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© 2014 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission. See http://www.ieee.org/publications_standards/publications/rights/index.html for more information.