Self-Organizing Feature Maps

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


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.


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  1. 5.1
    R.M. Sperry: Proc. Natl. Acad. Sci. USA 50, 701 (1963)ADSCrossRefGoogle Scholar
  2. 5.2
    R.M. Gaze, M.J. Keating: Nature 237, 375 (1972)ADSCrossRefGoogle Scholar
  3. 5.3
    R.A. Hope, B.J. Hammond, F.R.S. Gaze: Proc. Roy. Soc. London 194, 447 (1976)ADSCrossRefGoogle Scholar
  4. 5.4
    D.S. Olton: Scientific American 236, 82 (1977)CrossRefGoogle Scholar
  5. 5.5
    R.K. Hunt, N. Berman: J. Comp. Neurol. 162, 43 (1975)CrossRefGoogle Scholar
  6. 5.6
    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. 5.7
    S.C. Sharma: Exp. Neurol. 34, 171 (1972)CrossRefGoogle Scholar
  8. 5.8
    S. Amari: Bull. Math. Biol. 42, 339 (1980)MathSciNetMATHGoogle Scholar
  9. 5.9
    C.v.d. Malsburg, D. Willshaw: Proc. Natl. Acad. Sci. USA 74, 5176 (1977)ADSCrossRefGoogle Scholar
  10. 5.10
    N.V. Swindale: Proc. Roy. Soc. Edinburgh Sect. B 208, 243 (1980)Google Scholar
  11. 5.
    D.J. Willshaw, C.v.d. Malsburg: Philos. Trans. Roy. Soc. London Ser. B287Google Scholar
  12. 203.
  13. 5.12
    T. Kohonen: In Proc. 2nd Scand. Conf. on Image Analysis, ed. by E. Oja, Simula ( Suomen Hahmontunnistustutkimuksen Seura, Otaniemi, Finland 1981 ) p. 214Google Scholar
  14. 5.13
    T. Kohonen: In Cybernetic Systems: Recognition, Learning, Self-Organization, ed. by E.R. Caianiello, G. Musso ( Research Studies Press, Ltd., Letchworth, Hertfordshire, UK 1984 ) p. 3Google Scholar
  15. 5.
    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)Google Scholar
  16. 5.15
    T. Kohonen: Biol. Cyb. 43, 59 (1982)MathSciNetMATHCrossRefGoogle Scholar
  17. 5.16
    T. Kohonen: Biol. Cyb. 44, 135 (1982)MathSciNetMATHCrossRefGoogle Scholar
  18. 5.17
    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. 114Google Scholar
  19. 5.18
    D.W. DeMott: Med. Res. Eng. 5, 23 (1966)Google Scholar
  20. 5.19
    T. Kohonen, H. Riittinen, M. Jalanko, E. Reuhkala, S. Haltsonen: In Proc. 5th Int’l. Conf. on Pattern Recognition, ed. by R. Bajcsy ( IEEE Computer Society, Los Alamitos, CA 1980 ) p. 158Google Scholar
  21. 5.
    U. Grenander: Private communication (1981)Google Scholar
  22. 5.21
    S. Orey: Limit Theorems for Markov Chain Transition Probabilities ( Van Nostrand, London 1971 )MATHGoogle Scholar
  23. 5.22
    M. Cottrell, J.-C. Fort: Ann. Inst. Henri Poincaré 23, 1 (1987)MathSciNetMATHGoogle Scholar
  24. 5.23
    A.E. Albert, L.A. Gardner, Jr.: Stochastic Approximation and Nonlinear Regression ( MIT Press, Cambridge, MA 1967 )Google Scholar
  25. 5.24
    R.M. Gray: IEEE ASSP Magazine 1, 4 (April 1984)CrossRefGoogle Scholar
  26. 5.25
    G. Voronoi: J. reine angew. Math. 134, 198 (1908)MATHGoogle Scholar
  27. 5.26
    H. Ritter, K. Schulten: Biol. Cyb. 54, 99 (1986)MATHCrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1988

Authors and Affiliations

  • Teuvo Kohonen
    • 1
  1. 1.Laboratory of Computer and Information SciencesHelsinki University of TechnologyEspoo 15Finland

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