Skip to main content

A Memristor Circuit Using Basic Elements with Memory Capability

  • Conference paper
Recent Advances of Neural Network Models and Applications

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 26))

Abstract

After the introduction of the memory–resistor (i.e. memristor), a fundamental two-terminal circuit element defined as a nonlinear relationship between the integral of the voltage and the integral of the current, the class of memristor-based systems was extended by L.O. Chua and S. Kang in 1976. In the literature, the research interest devoted to the discover of novel physical systems with memristor behavior is growing. In 2012, an elementary electronic circuit discovered by F. Corinto and A. Ascoli, based on a Graetz bridge loaded with a RLC filter, was classified to be a memrisor-based system without memory capability. In this paper, the possibility of adding memory on the memristor-based system proposed in 2012 is exploited. In fact, the circuit proposed by F. Corinto and A. Ascoli does not have the memory capability, one of the more important characteristics of the memristor. The memory is added to the system using elementary components in a transfer charge circuit. Results show the memristor-based nature and the memory capability of the presented electronic system.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Chua, L.O.: Memristor: the missing circuit element. IEEE Transactions on Circuit Theory 18(5), 507–519 (1971)

    Article  Google Scholar 

  2. Chua, L.O., Kang, S.M.: Memristive devices and systems. Proc. IEEE 64(2), 209–223 (1976)

    Article  MathSciNet  Google Scholar 

  3. Strukov, D.B., Snider, G.S., Stewart, D.R., Williams, R.S.: The missing memristor found. Nature 14, 80–83 (2008)

    Article  Google Scholar 

  4. Pickett, M.D., Strukov, D.B., Borghetti, J.L., Yang, J.J., Snider, G.S., Stewart, D.R., Williams, R.S.: Switching Dynamics in Titanium Dioxide Memristive Devices. J. Appl. Phys. 106, 74508 (2009)

    Article  Google Scholar 

  5. Joglekar, Y.N., Wolf, S.T.: The elusive memristor: properties of basic electrical circuits. Eur. J. Phys. 30, 661–675 (2009)

    Article  MATH  Google Scholar 

  6. Biolek, Z., Biolek, D., BiolkovĂ¡, B.: Spice model of memristor with nonlinear dopant drift. Radio. Eng. 18(2), 210–214 (2009)

    Google Scholar 

  7. Corinto, F., Ascoli, A.: A boundary condition-based approach to the modeling of memristor nanostructures. IEEE Trans. Circuits Syst. I 59, 2713–2726 (2012), doi:10.1109/TCSI.2012.2190563

    Article  MathSciNet  Google Scholar 

  8. Kvatinsky, S., Friedman, E.G., Kolodny, A., Weiser, U.C.: TEAM - ThrEshold Adaptive Memristor Model. IEEE Trans. Circuits Syst. I 60(1), 211–221 (2013)

    Article  MathSciNet  Google Scholar 

  9. Ascoli, A., Corinto, F., Senger, V., Tetzlaff, R.: Memristor Model Comparison. IEEE Circuits and Systems Magazine 13(2), 89–105 (2013), doi:10.1109/MCAS.2013.2256272

    Article  Google Scholar 

  10. Abdalla, H., Pickett, M.D.: SPICE modeling of Memristors. In: IEEE International Symposium on Circuits and Systems, pp. 1832–1835 (2011)

    Google Scholar 

  11. Rak, A., Cserey, G.: Macromodeling of the Memristor in SPICE. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems 29(4), 632–636 (2010)

    Article  Google Scholar 

  12. Corinto, F., Ascoli, A., Gilli, M.: Analysis of current-voltage characteristics for memristor-based elements in pattern recognition systems. Int. J. Circuit Theory Appl. (2012), doi:10.1002/cta.1804

    Google Scholar 

  13. Corinto, F., Ascoli, A., Gilli, M.: Nonlinear dynamics of memristor oscillators. IEEE Trans. Circuits Syst. I 58(6), 1323–1336 (2011)

    Article  MathSciNet  Google Scholar 

  14. Talukdar, A., Radwan, A.G., Salama, K.N.: Nonlinear dynamics of memristor based 3rd order oscillatory system. Microelectronics Journal 43(3), 169–175 (2012)

    Article  Google Scholar 

  15. Strukov, D.B., Stewart, D.R., Borghetti, J.L., Li, X., Pickett, M., Ribeiro, G.M., Robinett, W., Snider, G.S., Strachan, J.P., Wu, W., Xia, Q., Yang, J.J., Williams, R.S.: Hybrid CMOS/memristor circuits. In: Int. Symp. on Circuits and Syst., pp. 1967–1970 (2010)

    Google Scholar 

  16. Versace, M., Chandler, B.: MoNETA: A Mind Made from Memristors. IEEE Spectrum (2010)

    Google Scholar 

  17. Johnsen, G.K.: An introduction to the memristor: a valuable circuit element in bioelectricity and bioimpedance. J. Electr. Bioimp. 3, 20–28 (2012)

    Google Scholar 

  18. Corinto, F., Ascoli, A.: Memristive diode bridge with LCR filter. Electronics Letters 48(14), 824–825 (2012)

    Article  Google Scholar 

  19. Troiano, A., Pasero, E., Mesin, L.: New System for Detecting Road Ice Formation. IEEE Transactions on Instrumentation and Measurement 60(3), 1091–1101 (2011)

    Article  Google Scholar 

  20. Chua, L.O.: Resistance switching memories are memristors. Appl. Phys. A 102(4), 765–783 (2011)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Amedeo Troiano .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer International Publishing Switzerland

About this paper

Cite this paper

Troiano, A., Corinto, F., Pasero, E. (2014). A Memristor Circuit Using Basic Elements with Memory Capability. In: Bassis, S., Esposito, A., Morabito, F. (eds) Recent Advances of Neural Network Models and Applications. Smart Innovation, Systems and Technologies, vol 26. Springer, Cham. https://doi.org/10.1007/978-3-319-04129-2_12

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-04129-2_12

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-04128-5

  • Online ISBN: 978-3-319-04129-2

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics