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 publicationJournal articleAcademic researchpeer-review

10 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 languageEnglish
Pages (from-to)230-238
Number of pages9
JournalNeurocomputing
Volume74
Issue number1-3
DOIs
Publication statusPublished - 1 Dec 2010

Keywords

  • Ghostburster
  • H control
  • Neural networks
  • Synchronization

ASJC Scopus subject areas

  • Computer Science Applications
  • Cognitive Neuroscience
  • Artificial Intelligence

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