Implementation of Logical and Memory Functions with Memristor Cellular Nonlinear Networks
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F20%3APU137708" target="_blank" >RIV/00216305:26220/20:PU137708 - isvavai.cz</a>
Result on the web
<a href="https://dx.doi.org/10.1109/ECCTD49232.2020.9218420" target="_blank" >https://dx.doi.org/10.1109/ECCTD49232.2020.9218420</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ECCTD49232.2020.9218420" target="_blank" >10.1109/ECCTD49232.2020.9218420</a>
Alternative languages
Result language
angličtina
Original language name
Implementation of Logical and Memory Functions with Memristor Cellular Nonlinear Networks
Original language description
The peculiar combined capability of nonvolatile resistance switching memories to store and process data within a common nanoscale physical medium allows to implement disruptive mem-computing paradigms in hybrid circuits leveraging the compatibility of CMOS and memristive technologies. This may pave the way toward the future development of minaturized, lightweight, ultra-dense, high-speed and low-power universal memcomputers with sensing functionality on board. Since the availability of technical products of this kind would respond to the current demands of the Internet-of-Things industry, it is timely to investigate the functionalities and limitations of memristive memcomputing structures, such as those arranged in cellular bio-inspired architectures. The adoption of memristors in circuit design brings new life to nonlinear system theory, since standard analysis and synthesis techniques from linear system theory are no longer applicable for the investigation of highlynonlinear electronic systems. This paper demonstrates how the use of standard and novel concepts from nonlinear system theory allow to design a Memristor Cellular Nonlinear Network for the execution of pixel-wise logical boolean functions on binary images, and the concurrent storage of input or output data into the memristive memory bank, providing clear evidence for the truly mem-computing character of its memristor-centered signal processing paradigm.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20201 - Electrical and electronic engineering
Result continuities
Project
<a href="/en/project/GA18-21608S" target="_blank" >GA18-21608S: Memristors and other unconventional circuit elements</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2020 European Conference on Circuit Theory and Design (ECCTD)
ISBN
9781728171838
ISSN
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e-ISSN
—
Number of pages
8
Pages from-to
1-8
Publisher name
IEEE
Place of publication
Sofia, Bulgaria
Event location
Sofia
Event date
Sep 7, 2020
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
000631927000055