A multi-stable memristor and its application in a neural network

Hairong  Lin; Chunhua Wang; Qinghui Hong; Yichuang Sun

doi:10.1109/TCSII.2020.3000492

A multi-stable memristor and its application in a neural network

Hairong Lin, Chunhua Wang, Qinghui Hong , Yichuang Sun

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16 Citations (Scopus)

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Abstract

Nowadays, there is a lot of study on memristorbased systems with multistability. However, there is no study on memristor with multistability. This brief constructs a mathematical memristor model with multistability. The origin of the multi-stable dynamics is revealed using standard nonlinear theory as well as circuit and system theory. Moreover, the multi-stable memristor is applied to simulate a synaptic connection in a Hopﬁeld neural network. The memristive neural network successfully generates inﬁnitely many coexisting chaotic attractors unobserved in previous Hopﬁeld-type neural networks. The results are also conﬁrmed in analog circuits based on commercially available electronic elements.

Original language	English
Number of pages	5
Journal	IEEE Transactions on Circuits and Systems II: Express Briefs
Early online date	8 Jun 2020
DOIs	https://doi.org/10.1109/TCSII.2020.3000492
Publication status	E-pub ahead of print - 8 Jun 2020

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abstract = "Nowadays, there is a lot of study on memristorbased systems with multistability. However, there is no study on memristor with multistability. This brief constructs a mathematical memristor model with multistability. The origin of the multi-stable dynamics is revealed using standard nonlinear theory as well as circuit and system theory. Moreover, the multi-stable memristor is applied to simulate a synaptic connection in a Hopﬁeld neural network. The memristive neural network successfully generates inﬁnitely many coexisting chaotic attractors unobserved in previous Hopﬁeld-type neural networks. The results are also conﬁrmed in analog circuits based on commercially available electronic elements. ",

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A multi-stable memristor and its application in a neural network

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