Work

A Multi-Stable Memristor and its Application in a Neural Network

Year: 2020

Type: article

Abstract: Nowadays, there is a lot of study on memristor-based 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.

Source: IEEE Transactions on Circuits & Systems II Express Briefs

DOI: 10.1109/tcsii.2020.3000492

Authors: Hairong Lin, Chunhua Wang, Qinghui Hong, Yichuang Sun

Institutions: Hunan University, University of Hertfordshire

Language: English

Topic: Advanced Memory and Neural Computing

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: green

Funder: National Natural Science Foundation of China

Awards: G4012533036, G6307145916