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Chaotic resonance in Izhikevich neural network motifs under electromagnetic induction by Guowei Wang; Lijian Yang; Xuan Zhan; Anbang Li; Ya Jia is a Engineering article available to read on EtoBox.

What is Chaotic resonance in Izhikevich neural network motifs under electromagnetic induction about?

Chaotic resonance (CR) is the response of a nonlinear system to weak signals enhanced by internal or external chaotic activity (such as the signal derived from Lorenz system). The triple-neuron feedforward loop (FFL) Izhikevich neural network motifs with eight types are constructed as the nonlinear systems in this paper, and the effects of EMI on CR phenomenon in FFL neuronal network motifs are studied. It is found that both the single Izhikevich neural model under electromagnetic induction (EMI) and its network motifs exhibit CR phenomenon depending on the chaotic current intensity. There exists an optimal chaotic current intensity ensuring the best detection of weak signal in single Izhikevich neuron or its network motifs via CR. The EMI can enhance the ability of neuron to detect weak signals. For T1-FFL and T2-FFL motifs, the adjustment of EMI parameters makes T2-FFL show a more obvious CR phenomenon than that for T1-FFL motifs, which is different from the impact of system parameters (e.g., the weak signal frequency, the coupling strength, and the time delay) on CR. Another interesting phenomenon is that the variation of CR with time delay exhibits quasi-periodic characteristic

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Author

Guowei Wang; Lijian Yang; Xuan Zhan; Anbang Li; Ya Jia

Publisher

Springer Science and Business Media LLC

Published

2022

Language

EN

Field

Engineering (Physical Sciences)