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Appl. Phys. Lett. 97, 093502 (2010); http://dx.doi.org/10.1063/1.3485060 (3 pages)

Memristive adaptive filters

T. Driscoll1, J. Quinn1, S. Klein1, H. T. Kim2, B. J. Kim2, Yu. V. Pershin3, M. Di Ventra1, and D. N. Basov1

1Department of Physics, University of California–San Diego, La Jolla, California 92093, USA
2Metal-Insulator Transition Laboratory, Electronics and Telecommunications Research Institute (ETRI), Daejeon 305-350, Republic of Korea
3Department of Physics and Astronomy and USC NanoCenter, University of South Carolina, Columbia, South Carolina 29208, USA

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(Received 11 June 2010; accepted 11 August 2010; published online 1 September 2010)

Using the memristive properties of vanadium dioxide, we experimentally demonstrate an adaptive filter by placing a memristor into an LC contour. This circuit reacts to the application of select frequency signals by sharpening the quality factor of its resonant response, and thus “learns” according to the input waveform. The proposed circuit employs only analog passive elements, and may find applications in biologically inspired processing and information storage. We also extend the learning-circuit framework mathematically to include memory-reactive elements, such as memcapacitors and meminductors, and show how this expands the functionality of adaptive memory filters.

© 2010 American Institute of Physics

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KEYWORDS and PACS

PACS

  • 84.30.Vn

    Filters

  • 84.32.Ff

    Conductors, resistors (including thermistors, varistors, and photoresistors)

ARTICLE DATA

PUBLICATION DATA

ISSN

0003-6951 (print)  
1077-3118 (online)

For access to fully linked references, you need to log in.
    W. R. Hiatt and T. W. Hickmott, Appl. Phys. Lett. 6, 106 (1965)APPLAB000006000006000106000001.

    S. R. Ovshinsky, Phys. Rev. Lett. 21, 1450 (1968).

    Y. V. Pershin, S. La Fontaine, and M. Di Ventra, Phys. Rev. E 80, 021926 (2009).

    T. Driscoll, H. -T. Kim, B. -G. Chae, M. Di Ventra, and D. N. Basov, Appl. Phys. Lett. 95, 043503 (2009)APPLAB000095000004043503000001.


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