Enhanced Synaptic Features of ZnO/TaOxBilayer Invisible Memristor for Brain-Inspired Computing

Dayanand Kumar, Lai Boon Keong, Nazek El-Atab*, Tseung Yuen Tseng*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

In this letter, we present a transparent bilayer ZnO/TaOx memristive synapse for brain-inspired computing. The device shows excellent AC endurance (109 cycles) and high-temperature retention (104 s) without any degradation at 100 °C. The device exhibits highly stable repetitive 5130 potentiation (P) and depression (D) epochs with 1.026 M pulses. The multilevel characteristics (MLC) of the device are achieved by changing the pulse height from 0.7 to 1.1 V for long-term potentiation (LTP) and from -0.9 to -1.3 V for long-term depression (LTD) having gradual conductance change for both P and D cases. The synaptic features such as paired-pulse facilitation (PPF) and spike time-dependent plasticity (STDP) are measured using consecutive AC pulses. These unique features confirm that the synaptic device has excellent capability for the application in the brain-inspired computing systems.

Original languageEnglish
Pages (from-to)2093-2096
Number of pages4
JournalIeee Electron Device Letters
Volume43
Issue number12
DOIs
StatePublished - 1 Dec 2022

Keywords

  • Memristor
  • PPF
  • STDP
  • synapse

Fingerprint

Dive into the research topics of 'Enhanced Synaptic Features of ZnO/TaOxBilayer Invisible Memristor for Brain-Inspired Computing'. Together they form a unique fingerprint.

Cite this