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Neural Computing and Applications
Erschienen in: Neural Computing and Applications 2/2018

19.11.2016 | Original Article

Study on electrical synapse coupling synchronization of Hindmarsh-Rose neurons under Gaussian white noise

verfasst von: Kaijun Wu, Tiejun Wang, Chunli Wang, Tiaotiao Du, Huaiwei Lu

Erschienen in: Neural Computing and Applications | Ausgabe 2/2018

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Abstract

This paper studies the electrical synapse coupling synchronization of Hindmarsh-Rose neurons as well as the effect that Gaussian white noise has on coupling neuron synchronization through theoretical analysis and numerical simulation. The study has found the coupling strength can affect the electrical activity of neuron coupling system and the synchronization status between coupling neurons. Adjusting the coupling strength between the neuron systems can make two asynchronous neuron systems synchronized. The study has also found that proper noise can prompt asynchronous Hindmarsh-Rose neuron electrical synapse coupling to be synchronous and evoke electrical synapse coupling neuron synchronization.
Vorheriger Artikel Delay-dependent performance state estimation of static delayed neural networks using sampled-data control
Nächster Artikel Probability multi-valued neutrosophic sets and its application in multi-criteria group decision-making problems

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Metadaten
Titel
Study on electrical synapse coupling synchronization of Hindmarsh-Rose neurons under Gaussian white noise
verfasst von
Kaijun Wu
Tiejun Wang
Chunli Wang
Tiaotiao Du
Huaiwei Lu
Publikationsdatum
19.11.2016
Verlag
Springer London
Erschienen in
Neural Computing and Applications / Ausgabe 2/2018
Print ISSN: 0941-0643
Elektronische ISSN: 1433-3058
DOI
https://doi.org/10.1007/s00521-016-2681-1

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