The University of Southampton
University of Southampton Institutional Repository

A review on memristive devices and applications

A review on memristive devices and applications
A review on memristive devices and applications
Recent discovery of the memristor has sparked a new wave of enthusiasm and optimism in revolutionising circuit design, marking a new era for the advancement of neuromorphic and analogue applications. In this work, we consider practical applications in which the highly non-linear dynamic response of the memristor can be employed. It is shown that the device can be utilised as a non-volatile memory element and/or a programmable dynamic load, with particular emphasis given into bio-inspired analog implementations that typically exploit the ability of the memristor to support both logic and memory simultaneously. Finally, a novel concept is presented demonstrating the capacity of memristive networks in realising demanding image processing algorithms and more specifically edge detection.
978-1-4244-8155-2
934-937
IEEE
Prodromakis, T.
d58c9c10-9d25-4d22-b155-06c8437acfbf
Toumazou, C.
52728165-8fe5-4c54-9fad-e9ccc4423dd6
Prodromakis, T.
d58c9c10-9d25-4d22-b155-06c8437acfbf
Toumazou, C.
52728165-8fe5-4c54-9fad-e9ccc4423dd6

Prodromakis, T. and Toumazou, C. (2010) A review on memristive devices and applications. In Proceedings of the 2010 IEEE International Conference on Electronics, Circuits, and Systems. IEEE. 1261 pp, pp. 934-937. (doi:10.1109/ICECS.2010.5724666).

Record type: Conference or Workshop Item (Paper)

Abstract

Recent discovery of the memristor has sparked a new wave of enthusiasm and optimism in revolutionising circuit design, marking a new era for the advancement of neuromorphic and analogue applications. In this work, we consider practical applications in which the highly non-linear dynamic response of the memristor can be employed. It is shown that the device can be utilised as a non-volatile memory element and/or a programmable dynamic load, with particular emphasis given into bio-inspired analog implementations that typically exploit the ability of the memristor to support both logic and memory simultaneously. Finally, a novel concept is presented demonstrating the capacity of memristive networks in realising demanding image processing algorithms and more specifically edge detection.

Full text not available from this repository.

More information

Published date: 2010
Organisations: Nanoelectronics and Nanotechnology

Identifiers

Local EPrints ID: 351558
URI: https://eprints.soton.ac.uk/id/eprint/351558
ISBN: 978-1-4244-8155-2
PURE UUID: 64627570-fe68-4127-a921-5c1bc195eed5

Catalogue record

Date deposited: 25 Apr 2013 14:57
Last modified: 18 Jul 2017 04:25

Export record

Altmetrics

Contributors

Author: T. Prodromakis
Author: C. Toumazou

University divisions

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Library staff edit
Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of https://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×