Image Mem-Processing Bio-Inspired Cellular Arrays with Bistable and Analogue Dynamic Memristors

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

Beitragende

Abstract

By introducing memristors into circuit design, the limitations of traditional purely-CMOS hardware may be overcome. However, an extension of standard techniques for the analysis and design of conventional computing structures may be necessary to allow their applicability to the memristive counterparts. This paper adopts a generalization of the Dynamic Route Map system-theoretic concept to elucidate the mechanisms by which bio-inspired arrays of locally-coupled circuits, employing memristors with either bistable-like or analogue dynamic switching behaviours, accomplish image mem-processing tasks through the dynamical evolution of their states toward predefined equilibria.

Details

OriginalspracheEnglisch
Titel2020 9th International Conference on Modern Circuits and Systems Technologies (MOCAST)
Herausgeber (Verlag)Wiley-IEEE Press
Seiten1-6
Seitenumfang6
ISBN (Print)978-1-7281-6688-9
PublikationsstatusVeröffentlicht - 9 Sept. 2020
Peer-Review-StatusJa

Konferenz

Titel9th International Conference on Modern Circuits and Systems Technologies
KurztitelMOCAST 2020
Veranstaltungsnummer9
Dauer7 - 9 September 2020
Ortonline
StadtBremen
LandDeutschland

Externe IDs

Scopus 85093848101
ORCID /0000-0001-7436-0103/work/142240290

Schlagworte

Schlagwörter

  • Memristors, Capacitors, Mathematical model, Standards, Nonlinear dynamical systems, Tools, Biomedical imaging