Synchronization of Ghostburster neurons under external electrical stimulation via adaptive neural network H control

H. Y. Li; Y. K. Wong; Wai Lok Chan; K. M. Tsang

doi:10.1016/j.neucom.2010.03.004

Synchronization of Ghostburster neurons under external electrical stimulation via adaptive neural network H control

H. Y. Li, Y. K. Wong, Wai Lok Chan, K. M. Tsang

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

9 Citations (Scopus)

Abstract

In this paper, an adaptive neural network H control is proposed to realize the synchronization of two Ghostburster neurons under external electrical stimulation. We first analyze the periodic and chaotic dynamics of individual Ghostburster neuron under different external electrical stimulations, then design a H controller via adaptive neural networks to synchronize two Ghostburster neurons and drive the slave neuron to act as the master one. Asymptotic synchronization can be obtained by proper choice of the control parameters. Simulation results demonstrate the effectiveness of the proposed control method.

Original language	English
Pages (from-to)	230-238
Number of pages	9
Journal	Neurocomputing
Volume	74
Issue number	1-3
DOIs	https://doi.org/10.1016/j.neucom.2010.03.004
Publication status	Published - 1 Dec 2010

Keywords

Ghostburster
H control
Neural networks
Synchronization

ASJC Scopus subject areas

Computer Science Applications
Cognitive Neuroscience
Artificial Intelligence

More information

10.1016/j.neucom.2010.03.004

Scopus Link

Cite this

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abstract = "In this paper, an adaptive neural network H control is proposed to realize the synchronization of two Ghostburster neurons under external electrical stimulation. We first analyze the periodic and chaotic dynamics of individual Ghostburster neuron under different external electrical stimulations, then design a H controller via adaptive neural networks to synchronize two Ghostburster neurons and drive the slave neuron to act as the master one. Asymptotic synchronization can be obtained by proper choice of the control parameters. Simulation results demonstrate the effectiveness of the proposed control method.",

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AB - In this paper, an adaptive neural network H control is proposed to realize the synchronization of two Ghostburster neurons under external electrical stimulation. We first analyze the periodic and chaotic dynamics of individual Ghostburster neuron under different external electrical stimulations, then design a H controller via adaptive neural networks to synchronize two Ghostburster neurons and drive the slave neuron to act as the master one. Asymptotic synchronization can be obtained by proper choice of the control parameters. Simulation results demonstrate the effectiveness of the proposed control method.

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KW - Synchronization

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