title: Associative memory realized by a reconfigurable memristive Hopfield neural network.
abstract: Although synaptic behaviours of memristors have been widely demonstrated, implementation of an even simple artificial neural network is still a great challenge. In this work, we demonstrate the associative memory on the basis of a memristive Hopfield network. Different patterns can be stored into the memristive Hopfield network by tuning the resistance of the memristors, and the pre-stored patterns can be successfully retrieved directly or through some associative intermediate states, being analogous to the associative memory behaviour. Both single-associative memory and multi-associative memories can be realized with the memristive Hopfield network.
authors.affiliation: State Key Laboratory of Electronic Thin Films and Integrated Devices, University of Electronic Science and Technology of China, Chengdu 610054, China.
authors.forename: S G
authors.initials: SG
authors.lastname: Hu
authors.affiliation: State Key Laboratory of Electronic Thin Films and Integrated Devices, University of Electronic Science and Technology of China, Chengdu 610054, China.
authors.forename: Y
authors.initials: Y
authors.lastname: Liu
authors.affiliation: School of Materials and Energy, Guangdong University of Technology, Guangzhou 510006, China.
authors.forename: Z
authors.initials: Z
authors.lastname: Liu
authors.affiliation: School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore 639798, Singapore.
authors.forename: T P
authors.initials: TP
authors.lastname: Chen
authors.affiliation: State Key Laboratory of Electronic Thin Films and Integrated Devices, University of Electronic Science and Technology of China, Chengdu 610054, China.
authors.forename: J J
authors.initials: JJ
authors.lastname: Wang
authors.affiliation: State Key Laboratory of Electronic Thin Films and Integrated Devices, University of Electronic Science and Technology of China, Chengdu 610054, China.
authors.forename: Q
authors.initials: Q
authors.lastname: Yu
authors.affiliation: State Key Laboratory of Electronic Thin Films and Integrated Devices, University of Electronic Science and Technology of China, Chengdu 610054, China.
authors.forename: L J
authors.initials: LJ
authors.lastname: Deng
authors.affiliation: Graduate School of Engineering, Gunma University, 1-5-1Tenjin, Kiryu, Gunma 376-8515, Japan.
authors.forename: Y
authors.initials: Y
authors.lastname: Yin
authors.affiliation: Graduate School of Engineering, Gunma University, 1-5-1Tenjin, Kiryu, Gunma 376-8515, Japan.
authors.forename: Sumio
authors.initials: S
authors.lastname: Hosaka
mesh_terms: D000465:Algorithms; D000818:Animals; D001245:Association Learning / Q000502:physiology; D002490:Central Nervous System / Q000502:physiology*; D003198:Computer Simulation; D008568:Memory; D016571:Neural Networks, Computer; D010363:Pattern Recognition, Automated