Noise-induced network bursts and coherence in a calcium-mediated neural network

Noise-induced population bursting has been widely identified to play important roles in information processes. We construct a mathematical model for a random and sparse heterogeneous neural network where bursting can be induced from a resting state by a global stochastic stimulus. Importantly, the n...

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Main Authors: Na Yu, Gurpreet Jagdev, Michelle Morgovsky
Format: Article
Language:English
Published: Elsevier 2021-12-01
Series:Heliyon
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844021027158
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author Na Yu
Gurpreet Jagdev
Michelle Morgovsky
author_facet Na Yu
Gurpreet Jagdev
Michelle Morgovsky
author_sort Na Yu
collection DOAJ
description Noise-induced population bursting has been widely identified to play important roles in information processes. We construct a mathematical model for a random and sparse heterogeneous neural network where bursting can be induced from a resting state by a global stochastic stimulus. Importantly, the noise-induced bursting dynamics of this network are mediated by calcium conductance. We use two spectral measures to evaluate network coherence in the context of the network bursts, the spike trains of all neurons, and the individual bursts of all neurons. Our results show that the coherence of the network is optimized by an optimal level of the stochastic stimulus, which is known as coherence resonance (CR). We also demonstrate that the interplay of the calcium conductance and noise intensity can modify the degree of CR.
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spelling doaj.art-dc59b4cc99f94aa3ae8867770c507b8f2022-12-22T04:03:24ZengElsevierHeliyon2405-84402021-12-01712e08612Noise-induced network bursts and coherence in a calcium-mediated neural networkNa Yu0Gurpreet Jagdev1Michelle Morgovsky2Department of Mathematics, Ryerson University, Toronto, Canada; Corresponding author.Department of Mathematics, Ryerson University, Toronto, CanadaDepartment of Chemistry and Biology, Ryerson University, Toronto, CanadaNoise-induced population bursting has been widely identified to play important roles in information processes. We construct a mathematical model for a random and sparse heterogeneous neural network where bursting can be induced from a resting state by a global stochastic stimulus. Importantly, the noise-induced bursting dynamics of this network are mediated by calcium conductance. We use two spectral measures to evaluate network coherence in the context of the network bursts, the spike trains of all neurons, and the individual bursts of all neurons. Our results show that the coherence of the network is optimized by an optimal level of the stochastic stimulus, which is known as coherence resonance (CR). We also demonstrate that the interplay of the calcium conductance and noise intensity can modify the degree of CR.http://www.sciencedirect.com/science/article/pii/S2405844021027158Noise-induced burst firingPopulation burstsCoherence resonanceHeterogeneous network
spellingShingle Na Yu
Gurpreet Jagdev
Michelle Morgovsky
Noise-induced network bursts and coherence in a calcium-mediated neural network
Heliyon
Noise-induced burst firing
Population bursts
Coherence resonance
Heterogeneous network
title Noise-induced network bursts and coherence in a calcium-mediated neural network
title_full Noise-induced network bursts and coherence in a calcium-mediated neural network
title_fullStr Noise-induced network bursts and coherence in a calcium-mediated neural network
title_full_unstemmed Noise-induced network bursts and coherence in a calcium-mediated neural network
title_short Noise-induced network bursts and coherence in a calcium-mediated neural network
title_sort noise induced network bursts and coherence in a calcium mediated neural network
topic Noise-induced burst firing
Population bursts
Coherence resonance
Heterogeneous network
url http://www.sciencedirect.com/science/article/pii/S2405844021027158
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