Experimental Demonstration of a Second-Order Memristor and Its Ability to Biorealistically Implement Synaptic Plasticity

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.

• DA
  Defense Advanced Research Projects Agency

  Award: HR0011-13-2-0015
• DO
  Division of Computing and Communication Foundations

  Award: CCF-1217972
• DO
  Division of Electrical, Communications and Cyber Systems

  Award: ECCS-0954621
• AF
  Air Force Office of Scientific Research

  Award: FA9550-12-1-0038