article

On the role of astrocyte analog circuit in neural frequency adaptation

Authors:

Mahnaz Ranjbar,

Mahmood AmiriAuthors Info & Claims

Neural Computing and Applications, Volume 28, Issue 5

Pages 1109 - 1121

https://doi.org/10.1007/s00521-015-2112-8

Published: 01 May 2017 Publication History

Abstract

In the present study, we develop an analog neuromorphic circuit to implement the astrocyte dynamics. The intracellular calcium waves produced by astrocytes are modeled by a simplified dynamical model which considers the main pathways of neuron---astrocyte interactions. Then, a simple CMOS circuit implementation that maps the model on hardware is proposed. It is designed and simulated using HSPICE simulator in 0.35 μm standard CMOS technology. The simulation results illustrate that the proposed astrocyte circuit is a good candidate for applications in neuromorphic devices which implement biologically plausible neural circuits. Finally, the proposed astrocyte analog circuit is used to study neural frequency adaptation. The results of simulations demonstrate that in low frequency range, the astrocyte circuit can have a significant role in the frequency adaptation of the neuronal model. The low power consumption (205 μW) and the compactness of the circuit make it a practical solution for the implementation of dense arrays of spiking neurons and astrocytes in a single chip.

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Cited By

Zou XCao JSun WGuo QWen T(2019)Flow data processing paradigm and its application in smart city using a cluster analysis approachCluster Computing10.1007/s10586-018-2839-y22:2(435-444)Online publication date: 25-May-2019
https://dl.acm.org/doi/10.1007/s10586-018-2839-y
Karimi GRanjbar MAmirian MShahim-aeen A(2018)A neuromorphic real-time VLSI design of Ca2+ dynamic in an astrocyteNeurocomputing10.1016/j.neucom.2017.06.071272:C(197-203)Online publication date: 10-Jan-2018
https://dl.acm.org/doi/10.1016/j.neucom.2017.06.071

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Published In

cover image Neural Computing and Applications

Neural Computing and Applications Volume 28, Issue 5

May 2017

321 pages

ISSN:0941-0643

EISSN:1433-3058

Issue’s Table of Contents

Copyright © Copyright © 2017 The Natural Computing Applications Forum.

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Springer-Verlag

Berlin, Heidelberg

Publication History

Published: 01 May 2017

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Cited By

Zou XCao JSun WGuo QWen T(2019)Flow data processing paradigm and its application in smart city using a cluster analysis approachCluster Computing10.1007/s10586-018-2839-y22:2(435-444)Online publication date: 25-May-2019
https://dl.acm.org/doi/10.1007/s10586-018-2839-y
Karimi GRanjbar MAmirian MShahim-aeen A(2018)A neuromorphic real-time VLSI design of Ca2+ dynamic in an astrocyteNeurocomputing10.1016/j.neucom.2017.06.071272:C(197-203)Online publication date: 10-Jan-2018
https://dl.acm.org/doi/10.1016/j.neucom.2017.06.071

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