Biological Cybernetics

, Volume 43, Issue 1, pp 59–69 | Cite as

Self-organized formation of topologically correct feature maps

  • Teuvo Kohonen


This work contains a theoretical study and computer simulations of a new self-organizing process. The principal discovery is that in a simple network of adaptive physical elements which receives signals from a primary event space, the signal representations are automatically mapped onto a set of output responses in such a way that the responses acquire the same topological order as that of the primary events. In other words, a principle has been discovered which facilitates the automatic formation of topologically correct maps of features of observable events. The basic self-organizing system is a one- or two-dimensional array of processing units resembling a network of threshold-logic units, and characterized by short-range lateral feedback between neighbouring units. Several types of computer simulations are used to demonstrate the ordering process as well as the conditions under which it fails.


Computer Simulation Primary Event Output Response Observable Event Signal Representation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag 1982

Authors and Affiliations

  • Teuvo Kohonen
    • 1
  1. 1.Department of Technical PhysicsHelsinki University of TechnologyEspooFinland

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