Engineering synaptic plasticity through the control of oxygen vacancy concentration for the improvement of learning accuracy in a Ta2O5 memristor

Hyun Gyu Hwang, Yeon Pyo, Jong Un Woo, In Su Kim, Sun Woo Kim, Dae Su Kim, Bumjoo Kim, Jichai Jeong, Sahn Nahm

Research output: Contribution to journalArticlepeer-review

Abstract

Ta2O5 memristors exhibit bipolar switching properties attributable to the growth and destruction of oxygen vacancy filaments (OVFs). The transmission properties of biological synapse are mimicked in these memristors. The Ta2O5 memristor that contains numerous oxygen vacancies (OVs) is heated under N2 at 10 Torr, and it shows high conductance modulation linearity (CML) because the variation of OVF is governed by the redox reaction. The recognition accuracy of artificial neural networks (ANNs) is affected significantly by the CML of the memristor. Simulation using a convolutional neural network reveals that this Ta2O5 memristor exhibits a high learning accuracy of 93% because of its high CML. Spike-timing-dependent plasticity (STDP) was realized in Ta2O5 memristors. The change rate of synaptic weight variation in the STDP curve, which is also related to the learning accuracy of ANNs, is large in the Ta2O5 memristor heated under N2 at 10 Torr; this confirms that this memristor has a good learning accuracy. Spike rate-dependent plasticity and the transition from short-term plasticity to long-term plasticity are observed in Ta2O5 memristors. Further, they were obtained at a small potentiation spike in a Ta2O5 memristor heated under N2 at 10 Torr because numerous OVs exist in this memristor.

Original languageEnglish
Article number163764
JournalJournal of Alloys and Compounds
Volume902
DOIs
Publication statusPublished - 2022 May 5

Keywords

  • Artificial synapse
  • Memristor
  • Oxygen vacancy
  • Synaptic plasticity
  • Tantalum oxide

ASJC Scopus subject areas

  • Mechanics of Materials
  • Mechanical Engineering
  • Metals and Alloys
  • Materials Chemistry

Fingerprint

Dive into the research topics of 'Engineering synaptic plasticity through the control of oxygen vacancy concentration for the improvement of learning accuracy in a Ta2O5 memristor'. Together they form a unique fingerprint.

Cite this