Image Mem-Processing Bio-Inspired Cellular Arrays with Bistable and Analogue Dynamic Memristors
Publikation: Beitrag in Buch/Konferenzbericht/Sammelband/Gutachten › Beitrag in Konferenzband › Beigetragen › Begutachtung
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
| Originalsprache | Englisch |
|---|---|
| Titel | 2020 9th International Conference on Modern Circuits and Systems Technologies (MOCAST) |
| Herausgeber (Verlag) | Wiley-IEEE Press |
| Seiten | 1-6 |
| Seitenumfang | 6 |
| ISBN (Print) | 978-1-7281-6688-9 |
| Publikationsstatus | Veröffentlicht - 9 Sept. 2020 |
| Peer-Review-Status | Ja |
Konferenz
| Titel | 9th International Conference on Modern Circuits and Systems Technologies |
|---|---|
| Kurztitel | MOCAST 2020 |
| Veranstaltungsnummer | 9 |
| Dauer | 7 - 9 September 2020 |
| Ort | online |
| Stadt | Bremen |
| Land | Deutschland |
Externe IDs
| Scopus | 85093848101 |
|---|---|
| ORCID | /0000-0001-7436-0103/work/142240290 |
Schlagworte
Schlagwörter
- Memristors, Capacitors, Mathematical model, Standards, Nonlinear dynamical systems, Tools, Biomedical imaging