title: Experimental demonstration of a second-order memristor and its ability to biorealistically implement synaptic plasticity.
abstract: Memristors have been extensively studied for data storage and low-power computation applications. In this study, we show that memristors offer more than simple resistance change. Specifically, the dynamic evolutions of internal state variables allow an oxide-based memristor to exhibit Ca(2+)-like dynamics that natively encode timing information and regulate synaptic weights. Such a device can be modeled as a second-order memristor and allow the implementation of critical synaptic functions realistically using simple spike forms based solely on spike activity.
authors.affiliation: Department of Electrical Engineering and Computer Science, University of Michigan , Ann Arbor, Michigan 48109, United States.
authors.forename: Sungho
authors.initials: S
authors.lastname: Kim
authors.forename: Chao
authors.initials: C
authors.lastname: Du
authors.forename: Patrick
authors.initials: P
authors.lastname: Sheridan
authors.forename: Wen
authors.initials: W
authors.lastname: Ma
authors.forename: ShinHyun
authors.initials: S
authors.lastname: Choi
authors.forename: Wei D
authors.initials: WD
authors.lastname: Lu
mesh_terms: D000200:Action Potentials; D000818:Animals; D040761:Biomimetic Materials; D016248:Computer Storage Devices; D017076:Computer-Aided Design; D017097:Electric Impedance; D004867:Equipment Design; D019544:Equipment Failure Analysis; D006801:Humans; D008568:Memory / Q000502:physiology*; D009415:Nerve Net; D016571:Neural Networks, Computer; D009473:Neuronal Plasticity; D009435:Synaptic Transmission
keywords: Ca2+; Memristor; dynamics; resistive switching; second-order; synapse; synaptic plasticity