Self-organized formation of topologically correct feature maps
T. Kohonen. Biological Cybernetics, 43 (1):
59--69(1982)
Abstract
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.
%0 Journal Article
%1 Kohonen1982
%A Kohonen, Teuvo
%D 1982
%I Springer
%J Biological Cybernetics
%K cortex mapformation model selforganization
%N 1
%P 59--69
%T Self-organized formation of topologically correct feature maps
%V 43
%X 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.
@article{Kohonen1982,
abstract = {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.},
added-at = {2008-05-03T11:23:52.000+0200},
author = {Kohonen, Teuvo},
biburl = {https://www.bibsonomy.org/bibtex/2a41838af187d8c424cb09d76db62423c/tmalsburg},
interhash = {2a476d6ac197f6938cbbf3f2683df1b4},
intrahash = {a41838af187d8c424cb09d76db62423c},
journal = {Biological Cybernetics},
keywords = {cortex mapformation model selforganization},
number = 1,
pages = {59--69},
publisher = {Springer},
timestamp = {2008-05-03T11:23:52.000+0200},
title = {{Self-organized formation of topologically correct feature maps}},
volume = 43,
year = 1982
}