Skip to main content
SpringerLink
Log in

Getting more information out of SDM

  • Poster Presentations 1
  • Conference paper
  • First Online:
Artificial Neural Networks — ICANN 96 (ICANN 1996)

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

Included in the following conference series:

Abstract

A more efficient way of reading the SDM memory is presented. This is accomplished by using implicit information, hitherto not utilized, to find the information-carrying units and thus removing unnecessary noise when reading the memory.

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

Access this chapter

Log in via an institution

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Jaeckel, L.A. An alternative design for a Sparse Distributed Memory. Technical Report TR-89.28, RIACS, 1989.

    Google Scholar 

  2. Kanerva, P. Sparse Distributed Memory. The MIT Press, 1988.

    Google Scholar 

  3. Kanerva, P. Associative-memory models of the cerebellum. In I. Alexander and J. Taylor, editors, Artificial Neural Networks, 2, Proceedings ICANN '92. Elsevier, 1992.

    Google Scholar 

  4. Kanerva, P. Sparse distributed memory and related models. In Mohamad H. Hassoun, editor, Associative Neural Memories. Oxford University Press, 1993.

    Google Scholar 

  5. Karlsson, R. A fast activation mechanism for the Kanerva SDM memory, 1995. SICS Research Report R95:10, Swedish Institute of Computer Science.

    Google Scholar 

  6. Kristoferson, J. Best probabilities of activation and performance comparisons for several designs of Kanerva's SDM (Sparse Distributed Memory), 1995. SICS Research Report R95:09, Swedish Institute of Computer Science.

    Google Scholar 

  7. Kristoferson, J. Some comments on the information stored in sparse distributed memory, 1995. SICS Research Report R95:11, Swedish Institute of Computer Science.

    Google Scholar 

  8. Rogers, D. Using data tagging to improve the performance of Kanerva's sparse distributed memory. Technical Report TR-88.1, RIACS, 1988.

    Google Scholar 

  9. Sjödin, G. Convergence and new operations in SDM, 1995. SICS Research Report R95:13, Swedish Institute of Computer Science.

    Google Scholar 

  10. Sjödin, G. Improving the capacity of SDM, 1995. SICS Research Report R95:12, Swedish Institute of Computer Science.

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Real World Computing Partnership Neuro Swedish Institute of Computer Science Laboratory, Box 1263, S-164 28, Kista, Sweden

    Gunnar Sjödin

Authors
  1. Gunnar Sjödin
    View author publications

    You can also search for this author in PubMed Google Scholar

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

Sjödin, G. (1996). Getting more information out of SDM. 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_82

Download citation

  • DOI: https://doi.org/10.1007/3-540-61510-5_82

  • 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

Search

Navigation