Skip to main content

A high-speed scalable CMOS current-mode Winner-Take-All network

  • Oral Presentations: Implementations Implementations: Dynamic and Massively Parallel Networks
  • Conference paper
  • First Online:
  • 203 Accesses

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1112))

Abstract

A CMOS modular high-speed current-mode 2-input Winner-Take-All (2-WTA) circuit for use in VLSI tree-structure WTA networks is described. The classification speed of the design is not input pattern dependent, but is a function of the value of the largest current input only. Simulations show that the new circuit can resolve input currents differing by less than 1μA with a negligible loss of operating speed. Detailed simulations and preliminary measured results of a single WTA cell and of a complete 8-input tree WTA network are presented.

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

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. R. Lippmann, “An introduction to computing with neural nets,” IEEE ASSP Mag., vol. 4, pp. 4–22, Apr 1987.

    Google Scholar 

  2. J. Ramirez-Angulo, “Building blocks for fuzzy processors,” IEEE Circuits & Devices Mag., vol. 10, pp. 48–50, Jul. 1994.

    Google Scholar 

  3. D. Grant, J. Taylor, and P. Houselander, “Design, implementation and evaluation of a high-speed integrated Hamming neural classifier,” IEEE J. Solid-State Circuits”, vol. 29, pp. 1154–1157, Sep. 1994.

    Google Scholar 

  4. J. Choi and B. Sheu, “A high-precision VLSI winner-take-all circuit for self-organising neural networks,” IEEE J. Solid-State Circuits, vol. 28, pp. 576–584, May 1993.

    Google Scholar 

  5. U. Cilingiroglu, “A charge-based neural Hamming classifier,” IEEE J. Solid-State Circuits, vol. 28, pp. 59–67, Jan. 1993.

    Google Scholar 

  6. S. Smedley, J. Taylor, and M. Wilby, “A scalable high-speed current-mode winner-take-all network for VLSI neural applications,” IEEE Trans. Circuits and Systems-Part I, vol. 42, pp. 289–291, May 1995.

    Google Scholar 

  7. K. Laker and W. Sansen, Design of Analog Integrated Circuits and Systems. USA: McGraw-Hill, 1994, pp. 385–386.

    Google Scholar 

  8. G. Di Cataldo, G. Palumbo and S. Stivala, “New CMOS current mirrors with improved high-frequency response,” Int. J. Circuit Theory and Applications, pp. 443–450, 1993.

    Google Scholar 

  9. C. Das, “MIETEC 2.4 μm CMOS MPC — Electrical parameters,” EUROCHIP Service Org. (RAL), Didcot, UK, Doc. MIE/F/02, Jan. 1993.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Christoph von der Malsburg Werner von Seelen Jan C. Vorbrüggen Bernhard Sendhoff

Rights and permissions

Reprints and permissions

Copyright information

© 1996 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Demosthenous, A., Taylor, J., Smedley, S. (1996). A high-speed scalable CMOS current-mode Winner-Take-All network. In: von der Malsburg, C., von Seelen, W., Vorbrüggen, J.C., Sendhoff, B. (eds) Artificial Neural Networks — ICANN 96. ICANN 1996. Lecture Notes in Computer Science, vol 1112. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-61510-5_65

Download citation

  • DOI: https://doi.org/10.1007/3-540-61510-5_65

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-61510-1

  • Online ISBN: 978-3-540-68684-2

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics