A Behavioural Compact Model for Programmable Neuromorphic ReRAM

Publikation: Beitrag in Buch/Konferenzbericht/Sammelband/GutachtenBeitrag in KonferenzbandBeigetragenBegutachtung

Beitragende

Abstract

In this work, we present a compact memristor model for bipolar neuromorphic ReRAM devices. The proposed model focuses on a behavioural high level description of the device, and it reproduces some of the most important characteristics (i.e. conductance, energy dissipation), using the number of pulses as the input variable instead of any electrical. Its functionality is shown by using it to model the behavior of three different ReRAM devices that were fabricated and measured at the CNR-IMM, Agrate Brianza. Considering a train of identical pulses as an input voltage signal consisting of N pulses and where m is the pulse number. The conductance during depression or potentiation can be described.

Details

OriginalspracheEnglisch
TitelProceedings of the 18th ACM International Symposium on Nanoscale Architectures, NANOARCH 2023
Herausgeber (Verlag)Association for Computing Machinery
ISBN (elektronisch)9798400703256
PublikationsstatusVeröffentlicht - 18 Dez. 2023
Peer-Review-StatusJa

Publikationsreihe

ReiheNanoarch: IEEE/ACM International Symposium on Nanoscale Architectures

Konferenz

Titel18th ACM International Symposium on Nanoscale Architectures
KurztitelNANOARCH 2023
Veranstaltungsnummer18
Dauer18 - 20 Dezember 2023
Webseite
OrtTechnische Universität Dresden
StadtDresden
LandDeutschland

Externe IDs

ORCID /0000-0001-7436-0103/work/172081488
ORCID /0000-0001-8886-4708/work/172572515

Schlagworte

Schlagwörter

  • Memristor, Pulse Programming, Pulsed Neural Networks, ReRAM