A Neuromorphic Digital Circuit for Neuronal Information Encoding Using Astrocytic Calcium Oscillations

Neurophysiological observations are clarifying how astrocytes can actively participate in information processing and how they can encode information through frequency and amplitude modulation of intracellular Ca2+ signals. Consequently, hardware realization of astrocytes is important for developing...

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Main Authors: Farnaz Faramarzi, Fatemeh Azad, Mahmood Amiri, Bernabé Linares-Barranco
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-10-01
Series:Frontiers in Neuroscience
Subjects:
Online Access:https://www.frontiersin.org/article/10.3389/fnins.2019.00998/full
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author Farnaz Faramarzi
Fatemeh Azad
Mahmood Amiri
Bernabé Linares-Barranco
author_facet Farnaz Faramarzi
Fatemeh Azad
Mahmood Amiri
Bernabé Linares-Barranco
author_sort Farnaz Faramarzi
collection DOAJ
description Neurophysiological observations are clarifying how astrocytes can actively participate in information processing and how they can encode information through frequency and amplitude modulation of intracellular Ca2+ signals. Consequently, hardware realization of astrocytes is important for developing the next generation of bio-inspired computing systems. In this paper, astrocytic calcium oscillations and neuronal firing dynamics are presented by De Pittà and IF (Integrated & Fire) models, respectively. Considering highly nonlinear equations of the astrocyte model, linear approximation and single constant multiplication (SCM) techniques are employed for efficient hardware execution while maintaining the dynamic of the original models. This low-cost hardware architecture for the astrocyte model is able to show the essential features of different types of Ca2+ modulation such as amplitude modulation (AM), frequency modulation (FM), or both modes (AFM). To show good agreement between the results of original models simulated in MATLAB and the proposed digital circuits executed on FPGA, quantitative, and qualitative analyses including phase plane are done. This new neuromorphic circuit of astrocyte is able to successfully demonstrate AM/FM/AFM calcium signaling in its real operation on FPGA and has applications in self-repairing systems. It also can be employed as a subsystem for linking biological cells to artificial neuronal networks using astrocytic calcium oscillations in future research.
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spelling doaj.art-6e0d78b1337c444a8e46316a5c794e4a2022-12-22T02:36:44ZengFrontiers Media S.A.Frontiers in Neuroscience1662-453X2019-10-011310.3389/fnins.2019.00998453882A Neuromorphic Digital Circuit for Neuronal Information Encoding Using Astrocytic Calcium OscillationsFarnaz Faramarzi0Fatemeh Azad1Mahmood Amiri2Bernabé Linares-Barranco3Department of Electronics, Amirkabir University of Technology, Tehran, IranMedical Technology Research Center, Kermanshah University of Medical Sciences, Kermanshah, IranMedical Technology Research Center, Kermanshah University of Medical Sciences, Kermanshah, IranInstituto de Microelectrónica de Sevilla (IMSE-CNM), CSIC and Univesity of Seville, Sevilla, SpainNeurophysiological observations are clarifying how astrocytes can actively participate in information processing and how they can encode information through frequency and amplitude modulation of intracellular Ca2+ signals. Consequently, hardware realization of astrocytes is important for developing the next generation of bio-inspired computing systems. In this paper, astrocytic calcium oscillations and neuronal firing dynamics are presented by De Pittà and IF (Integrated & Fire) models, respectively. Considering highly nonlinear equations of the astrocyte model, linear approximation and single constant multiplication (SCM) techniques are employed for efficient hardware execution while maintaining the dynamic of the original models. This low-cost hardware architecture for the astrocyte model is able to show the essential features of different types of Ca2+ modulation such as amplitude modulation (AM), frequency modulation (FM), or both modes (AFM). To show good agreement between the results of original models simulated in MATLAB and the proposed digital circuits executed on FPGA, quantitative, and qualitative analyses including phase plane are done. This new neuromorphic circuit of astrocyte is able to successfully demonstrate AM/FM/AFM calcium signaling in its real operation on FPGA and has applications in self-repairing systems. It also can be employed as a subsystem for linking biological cells to artificial neuronal networks using astrocytic calcium oscillations in future research.https://www.frontiersin.org/article/10.3389/fnins.2019.00998/fullcalcium modulationastrocyteinformation processingneuromorphic circuitFPGA
spellingShingle Farnaz Faramarzi
Fatemeh Azad
Mahmood Amiri
Bernabé Linares-Barranco
A Neuromorphic Digital Circuit for Neuronal Information Encoding Using Astrocytic Calcium Oscillations
Frontiers in Neuroscience
calcium modulation
astrocyte
information processing
neuromorphic circuit
FPGA
title A Neuromorphic Digital Circuit for Neuronal Information Encoding Using Astrocytic Calcium Oscillations
title_full A Neuromorphic Digital Circuit for Neuronal Information Encoding Using Astrocytic Calcium Oscillations
title_fullStr A Neuromorphic Digital Circuit for Neuronal Information Encoding Using Astrocytic Calcium Oscillations
title_full_unstemmed A Neuromorphic Digital Circuit for Neuronal Information Encoding Using Astrocytic Calcium Oscillations
title_short A Neuromorphic Digital Circuit for Neuronal Information Encoding Using Astrocytic Calcium Oscillations
title_sort neuromorphic digital circuit for neuronal information encoding using astrocytic calcium oscillations
topic calcium modulation
astrocyte
information processing
neuromorphic circuit
FPGA
url https://www.frontiersin.org/article/10.3389/fnins.2019.00998/full
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