Simple SPICE memristor model for neuromorphic system

Gyumin Choi, Byeong Jun Park, Gi Hong Rue, Sung Ho Hahm

Research output: Contribution to journalArticlepeer-review

Abstract

A simple memristor model is proposed for the neuromorphic system in the Simulation Program for Integrated Circuits Emphasis (SPICE). The memristive I-V characteristics with different voltage and frequencies were analyzed. And with the model, we configured a learning and inference system with 4 by 4 memristor array to show the practical use of the model. We examined the applicability by configuring the simplest neuromorphic circuit. The total simulation time for the proposed model was 18% lesser than that for the onememristor model. When compared with more memristor models in a circuit, the time became even shorter.

Original languageEnglish
Pages (from-to)261-266
Number of pages6
JournalJournal of Sensor Science and Technology
Volume30
Issue number4
DOIs
StatePublished - Jul 2021

Keywords

  • Inference
  • Learning
  • Memristor
  • Neuromorphic
  • ReRAM
  • RRAM
  • SPICE

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