Artificial Synapse Emulated by Indium Tin Oxide/SiN/TaN Resistive Switching Device for Neuromorphic System

Dongyeol Ju, Sunghun Kim, Sungjun Kim

Research output: Contribution to journalArticlepeer-review

9 Scopus citations

Abstract

In this paper, we fabricate an ITO/SiN/TaN memristor device and analyze its electrical characteristics for a neuromorphic system. The device structure and chemical properties are investigated using transmission electron microscopy and X-ray photoelectron spectroscopy. Uniform bipolar switching is achieved through DC sweep under a compliance current of 5 mA. Also, the analog reset phenomenon is observed by modulating the reset voltage for long-term memory. Additionally, short-term memory characteristics are obtained by controlling the strength of the pulse response. Finally, bio-inspired synaptic characteristics are emulated using Hebbian learning rules such as spike-rate-dependent plasticity (SRDP) and spike-timing-dependent plasticity (STDP). As a result, we believe that the coexistence of short-term and long-term memories in the ITO/SiN/TaN device can provide flexibility in device design in future neuromorphic applications.

Original languageEnglish
Article number2477
JournalNanomaterials
Volume13
Issue number17
DOIs
StatePublished - Sep 2023

Keywords

  • Hebbian learning rules
  • neuromorphic system
  • resistive switching
  • short-term memory
  • synaptic plasticity

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