Skip to main content

Part of the book series: Springer Series in Information Sciences ((SSINF,volume 8))

Abstract

A property which is commonplace in the brain but which has always been ignored in the “learning machines” is a meaningful order of their processing units. “Ordering” thereby usually does not mean moving of units to new places. The units may even be structurally identical; the specialized role is determined by their internal parameters which are made to change in certain processes. It then appears as if specific units having a meaningful organization were produced.

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 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight 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. R.M. Sperry: Proc. Natl. Acad. Sci. USA 50,701 (1963)

    Article  Google Scholar 

  2. R.M. Gaze, M.J. Keating: Nature 237, 375 (1972)

    Article  PubMed  CAS  Google Scholar 

  3. R.A. Hope, B.J. Hammond, F.R.S. Gaze: Proc. Roy. Soc. London 194, 447 (1976)

    Article  CAS  Google Scholar 

  4. D.S. Olton: Scientific American 236, 82 (1977)

    Article  PubMed  CAS  Google Scholar 

  5. R.K. Hunt, N. Berman: J. Comp. Neurol. 162, 43 (1975)

    Article  Google Scholar 

  6. G.E. Schneider: In Neurosurgical Treatment in Psychiatry, Pain and Epilepsy, ed. by W.H. Sweet, S. Abrador, J.G. Martin-Rodriquez (Univ. Park Press, Baltimore 1977)

    Google Scholar 

  7. S.C. Sharma: Exp. Neurol. 34, 171 (1972)

    Article  PubMed  CAS  Google Scholar 

  8. S. Amari: Bull. Math. Biol. 42, 339 (1980)

    PubMed  CAS  Google Scholar 

  9. C.v.d. Malsburg, D. Willshaw: Proc. Natl. Acad. Sci. USA 74, 5176 (1977)

    Article  PubMed  Google Scholar 

  10. N.V. Swindale: Proc. Roy. Soc. Edinburgh Sect. B 208, 243 (1980)

    CAS  Google Scholar 

  11. D.J. Willshaw, C.v.d. Malsburg: Philos. Trans. Roy. Soc. London Ser. B287, 203 (1979)

    Google Scholar 

  12. T. Kohonen: In Proc. 2nd Semd. Conf, on Image Analysis, ed. by E. Oja, O. Simula (Suomen Hahmontunnistustutkimuksen Seura, Otaniemi, Finland 1981) p.214

    Google Scholar 

  13. T. Kohonen: In Cybernetie Systems: Recognition, Learning, Sei-Organization, ed. by E.R. Caianiello, G. Musso (Research Studies Press, Ltd., Letchworth, Hertfordshire, UK 1984) p.3

    Google Scholar 

  14. T. Kohonen: In Competition and Cooperation in Neural Nets, ed by S. Amari, M.A. Arbib, Lecture Notes in Biomath., Vol.45 (Springer, Berlin, Heidelberg 1982)

    Chapter  Google Scholar 

  15. T. Kohonen: Biol. Cyb. 43, 59 (1982)

    Article  Google Scholar 

  16. T. Kohonen: Biol. Cyb. 44, 135 (1982)

    Article  Google Scholar 

  17. T. Kohonen: In Proc, the 6th Int’l. Conf. on Pattern Recognition, ed. by M. Lang (IEEE Computer Soc. Press, Silver Spring, MD 1982) p. 114

    Google Scholar 

  18. D.W. DeMott: Med. Res. Eng. 5, 23 (1966)

    Google Scholar 

  19. T. Kohonen, H. Riittinen, M. Jälanko, E. Reuhkala, S. Haltsonen: In Proc. 5th Intl. Conf. on Pattern Recognition, ed. by R. Bajcsy (IEEE Computer Society, Los Alamitos, CA 1980) p. 158

    Google Scholar 

  20. U. Grenander: Private communication (1981)

    Google Scholar 

  21. S. Orey: Limit Theorems for Markov Chain Transition Probabilities (Van Nostrand, London 1971)

    Google Scholar 

  22. M. Cottrell, J.-C. Fort: Ann. Inst. Henri Poincaré 23, 1 (1987)

    Google Scholar 

  23. A.E. Albert, L.A. Gardner, Jr.: Stochastic Approximation and Nonlinear Regression (MIT Press, Cambridge, MA 1967)

    Google Scholar 

  24. R.M. Gray: IEEE ASSP Magazine 1, 4 (April 1984)

    Article  Google Scholar 

  25. G. Voronoi: J. reine angew. Math. 134, 198 (1908)

    Google Scholar 

  26. H. Ritter, K. Schulten: Biol. Cyb. 54, 99 (1986)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

Copyright information

© 1989 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Kohonen, T. (1989). Self-Organizing Feature Maps. In: Self-Organization and Associative Memory. Springer Series in Information Sciences, vol 8. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-88163-3_5

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-88163-3_5

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-51387-2

  • Online ISBN: 978-3-642-88163-3

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics