Memristive neuron model with an adapting synapse and its hardware experiments

Electromagnetic induction effect caused by neuron potential can be mimicked using memristor. This paper considers a flux-controlled memristor to imitate the electromagnetic induction effect of adapting feedback synapse and presents a memristive neuron model with the adapting synapse. The memristive...

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Bibliographic Details
Published in:Science China. Technological sciences 2021-05, Vol.64 (5), p.1107-1117
Main Authors: Bao, BoCheng, Zhu, YongXin, Ma, Jun, Bao, Han, Wu, HuaGan, Chen, Mo
Format: Article
Language:English
Subjects:
Circuits
Electromagnetic induction
Engineering
Hardware
Mathematical models
Memristors
Three dimensional models
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Summary:Electromagnetic induction effect caused by neuron potential can be mimicked using memristor. This paper considers a flux-controlled memristor to imitate the electromagnetic induction effect of adapting feedback synapse and presents a memristive neuron model with the adapting synapse. The memristive neuron model is three-dimensional and non-autonomous. It has the time-varying equilibria with multiple stabilities, which results in the global coexistence of multiple firing patterns. Multiple numerical plots are executed to uncover diverse coexisting firing patterns in the memristive neuron model. Particularly, a nonlinear fitting scheme is raised and a fitting activation function circuit is employed to implement the memristive mono-neuron model. Diverse coexisting firing patterns are observed from the hardware experiment circuit and the measured results verify the numerical simulations well.
ISSN:1674-7321
1869-1900
DOI:10.1007/s11431-020-1730-0