Experimental demonstration of a second-order memristor and its ability to biorealistically implement synaptic plasticity

Nano Lett. 2015 Mar 11;15(3):2203-11. doi: 10.1021/acs.nanolett.5b00697. Epub 2015 Mar 2.

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.

Keywords: Ca2+; Memristor; dynamics; resistive switching; second-order; synapse; synaptic plasticity.

Publication types

  • Research Support, Non-U.S. Gov't
  • Research Support, U.S. Gov't, Non-P.H.S.

MeSH terms

  • Action Potentials
  • Animals
  • Biomimetic Materials*
  • Computer Storage Devices*
  • Computer-Aided Design
  • Electric Impedance
  • Equipment Design
  • Equipment Failure Analysis
  • Humans
  • Memory / physiology*
  • Nerve Net
  • Neural Networks, Computer*
  • Neuronal Plasticity*
  • Synaptic Transmission*