Integrate-and-fire (I&F) neuron circuit using resistive-switching random access memory (RRAM)

Min Woo Kwon, Sungjun Kim, Min Hwi Kim, Jungjin Park, Hyungjin Kim, Sungmin Hwang, Byung Gook Park

Research output: Contribution to journalArticlepeer-review

17 Scopus citations

Abstract

We proposed the analog integrate and fire (I&F) neuron circuit using resistive-switching random access memory (RRAM). And we emulated the essential characteristics of the biological neuron such as temporal integration, threshold triggering, output generation and refractory period. The RRAM cell was made by Ag/Si3N4/TiN structure and measured DC I-V curve and transient pulse characteristics. We modelled the RRAM operation by spice simulation. With the RRAM model and conventional CMOS device, we simulated the I&F neuron circuit using smart spice tool. It was possible to reduce the power consumption, delay and neuron circuit cell size effectively by using the RRAM without capacitor.

Original languageEnglish
Pages (from-to)3038-3041
Number of pages4
JournalJournal of Nanoscience and Nanotechnology
Volume17
Issue number5
DOIs
StatePublished - 2017

Keywords

  • Action-Potential
  • I&F Neuron Circuit
  • Neuromorphic
  • Resistive-Switching Random Access Memory

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