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
Prodromakis, T.
d58c9c10-9d25-4d22-b155-06c8437acfbf
Toumazou, C.
52728165-8fe5-4c54-9fad-e9ccc4423dd6
2010
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.
.
(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.
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Published date: 2010
Organisations:
Nanoelectronics and Nanotechnology
Identifiers
Local EPrints ID: 351558
URI: http://eprints.soton.ac.uk/id/eprint/351558
ISBN: 978-1-4244-8155-2
PURE UUID: 64627570-fe68-4127-a921-5c1bc195eed5
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Date deposited: 25 Apr 2013 14:57
Last modified: 14 Mar 2024 13:41
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Author:
T. Prodromakis
Author:
C. Toumazou
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