Stochastic resonance in feedforward acupuncture networks

Ying Mei Qin; Jiang Wang; Cong Men; Bin Deng; Xi Le Wei; Hai Tao Yu; Wai Lok Chan

doi:10.1016/j.cnsns.2014.03.010

Stochastic resonance in feedforward acupuncture networks

Ying Mei Qin, Jiang Wang, Cong Men, Bin Deng, Xi Le Wei, Hai Tao Yu, Wai Lok Chan

The Hong Kong Polytechnic University

Research output: Journal article publication › Journal article › Academic research › peer-review

17 Citations (Scopus)

Abstract

Effects of noises and some other network properties on the weak signal propagation are studied systematically in feedforward acupuncture networks (FFN) based on FitzHugh-Nagumo neuron model. It is found that noises with medium intensity can enhance signal propagation and this effect can be further increased by the feedforward network structure. Resonant properties in the noisy network can also be altered by several network parameters, such as heterogeneity, synapse features, and feedback connections. These results may also provide a novel potential explanation for the propagation of acupuncture signal.

Original language	English
Pages (from-to)	3660-3670
Number of pages	11
Journal	Communications in Nonlinear Science and Numerical Simulation
Volume	19
Issue number	10
DOIs	https://doi.org/10.1016/j.cnsns.2014.03.010
Publication status	Published - 1 Jan 2014

Keywords

Feedforward network
FitzHugh-Nagumo neuron
Heterogeneity
Stochastic resonance

ASJC Scopus subject areas

Modelling and Simulation
Numerical Analysis
Applied Mathematics

More information

10.1016/j.cnsns.2014.03.010

Cite this

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title = "Stochastic resonance in feedforward acupuncture networks",

abstract = "Effects of noises and some other network properties on the weak signal propagation are studied systematically in feedforward acupuncture networks (FFN) based on FitzHugh-Nagumo neuron model. It is found that noises with medium intensity can enhance signal propagation and this effect can be further increased by the feedforward network structure. Resonant properties in the noisy network can also be altered by several network parameters, such as heterogeneity, synapse features, and feedback connections. These results may also provide a novel potential explanation for the propagation of acupuncture signal.",

keywords = "Feedforward network, FitzHugh-Nagumo neuron, Heterogeneity, Stochastic resonance",

author = "Qin, {Ying Mei} and Jiang Wang and Cong Men and Bin Deng and Wei, {Xi Le} and Yu, {Hai Tao} and Chan, {Wai Lok}",

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T1 - Stochastic resonance in feedforward acupuncture networks

AU - Qin, Ying Mei

AU - Wang, Jiang

AU - Men, Cong

AU - Deng, Bin

AU - Wei, Xi Le

AU - Yu, Hai Tao

AU - Chan, Wai Lok

PY - 2014/1/1

Y1 - 2014/1/1

N2 - Effects of noises and some other network properties on the weak signal propagation are studied systematically in feedforward acupuncture networks (FFN) based on FitzHugh-Nagumo neuron model. It is found that noises with medium intensity can enhance signal propagation and this effect can be further increased by the feedforward network structure. Resonant properties in the noisy network can also be altered by several network parameters, such as heterogeneity, synapse features, and feedback connections. These results may also provide a novel potential explanation for the propagation of acupuncture signal.

AB - Effects of noises and some other network properties on the weak signal propagation are studied systematically in feedforward acupuncture networks (FFN) based on FitzHugh-Nagumo neuron model. It is found that noises with medium intensity can enhance signal propagation and this effect can be further increased by the feedforward network structure. Resonant properties in the noisy network can also be altered by several network parameters, such as heterogeneity, synapse features, and feedback connections. These results may also provide a novel potential explanation for the propagation of acupuncture signal.

KW - Feedforward network

KW - FitzHugh-Nagumo neuron

KW - Heterogeneity

KW - Stochastic resonance

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U2 - 10.1016/j.cnsns.2014.03.010

DO - 10.1016/j.cnsns.2014.03.010

M3 - Journal article

SN - 1007-5704

VL - 19

SP - 3660

EP - 3670

JO - Communications in Nonlinear Science and Numerical Simulation

JF - Communications in Nonlinear Science and Numerical Simulation

IS - 10

ER -

Stochastic resonance in feedforward acupuncture networks

Abstract

Keywords

ASJC Scopus subject areas

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