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Biologically-Inspired Electronics with Memory Circuit Elements

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Advances in Neuromorphic Memristor Science and Applications

Part of the book series: Springer Series in Cognitive and Neural Systems ((SSCNS,volume 4))

Abstract

Several unique properties of biological systems, such as adaptation to natural environment, or of animals to learn patterns when appropriately trained, are features that are extremely useful, if emulated by electronic circuits, in applications ranging from robotics to solution of complex optimization problems, traffic control, etc. In this chapter, we discuss several examples of biologically-inspired circuits that take advantage of memory circuit elements, namely, electronic elements whose resistive, capacitive or inductive characteristics depend on their past dynamics. We provide several illustrations of what can be accomplished with these elements including learning circuits and related adaptive filters, neuromorphic and cellular computing circuits, analog massively-parallel computation architectures, etc. We also give examples of experimental realizations of memory circuit elements and discuss opportunities and challenges in this new field.

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Notes

  1. 1.

    There is no such dependence for traditional basic circuit elements—resistors, capacitors and inductors.

  2. 2.

    Several designs of memristor [7, 46–48] as well as memcapacitor and meminductor [47, 49–51] emulators are known in the literature. These emulators serve as an important practical tool to build small-scale circuits with memory circuit elements.

  3. 3.

    Fast sub-nanosecond switching has been recently reported in tantalum oxide memristive systems [62].

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Acknowledgement

M.D. acknowledges partial support from the NSF Grant No. DMR-0802830.

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Authors and Affiliations

  1. Department of Physics, University of California, La Jolla, 92093, San Diego, CA, USA

    Massimiliano Di Ventra

  2. Department of Physics and Astronomy and USC Nanocenter, University of South Carolina, 29208, Columbia, SC, USA

    Yuriy V. Pershin

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  1. Massimiliano Di Ventra
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  2. Yuriy V. Pershin
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Correspondence to Massimiliano Di Ventra .

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Editors and Affiliations

  1. Dept. Mathematical Sciences, University of Memphis, Memphis, 38152, Tennessee, USA

    Robert Kozma

  2. , RITC, Information Directorate, Air Force Research Laboratory, Electronics Parkway 26, Rome, 13441-4514, New York, USA

    Robinson E. Pino

  3. , Mathematical Sciences, The University of Memphis, Dunn Hall 373, Memphis, 38152, Tennessee, USA

    Giovanni E. Pazienza

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Di Ventra, M., Pershin, Y.V. (2012). Biologically-Inspired Electronics with Memory Circuit Elements. In: Kozma, R., Pino, R., Pazienza, G. (eds) Advances in Neuromorphic Memristor Science and Applications. Springer Series in Cognitive and Neural Systems, vol 4. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-4491-2_3

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