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Nonlinear-estimator-based robust synchronization of Hodgkin-Huxley neurons

Tian, L., Li, D. and Sun, Xianfang 2008. Nonlinear-estimator-based robust synchronization of Hodgkin-Huxley neurons. Neurocomputing 72 (1-3) , pp. 186-196. 10.1016/j.neucom.2008.04.051

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Abstract

A controller is designed to synchronize two modified Hodgkin–Huxley neuronal systems under the influence of externally injected current stimulus and extremely low frequency (ELF) external electrical field. By transforming the dynamics of the synchronization error into the canonical form, a robust adaptive stabilization technique with least prior knowledge is used to stabilize the discrepancy system at the origin. Without directly affecting the other three internal states, all of the four states can all be synchronized. The construction of the designed synchronization controller is easy to achieve and independent of the exact drift function of the system model. As a promising adaptive synchronization controller, it is expected to be applied to solve other synchronization problems effectively.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Computer Science & Informatics
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Uncontrolled Keywords: Hodgkin–Huxley neuron; Robust synchronization; Dynamic estimator
Additional Information: Machine Learning for Signal Processing (MLSP 2006) / Life System Modelling, Simulation, and Bio-inspired Computing (LSMS 2007)
Publisher: Elsevier
ISSN: 0925-2312
Last Modified: 04 Jun 2017 02:56
URI: http://orca.cf.ac.uk/id/eprint/14246

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