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Self-Organizing Maps pp 71–104Cite as

Neural Modeling

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Part of the book series: Springer Series in Information Sciences ((SSINF,volume 30))

Abstract

Two different motives are discernible in neural modeling. The original one is an attempt to describe biophysical phenomena that take place in real biological neurons, whereupon it may be expected that some primitives or basic elements of information processing by the brain could be isolated and identified. Another one is a direct attempt to develop new devices based on heuristically conceived, although biologically inspired simple components such as threshold-logic units or formal neurons. The circuits thereby designed are usually called artificial neural networks (ANNs).

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Authors and Affiliations

  1. Helsinki University of Technology Neural Networks Research Centre, 02015, P.O. Box 5400, HUT, Espoo, Finland

    Professor Teuvo Kohonen

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  1. Professor Teuvo Kohonen
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© 2001 Springer-Verlag Berlin Heidelberg

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Kohonen, T. (2001). Neural Modeling. In: Self-Organizing Maps. Springer Series in Information Sciences, vol 30. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-56927-2_2

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  • DOI: https://doi.org/10.1007/978-3-642-56927-2_2

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-67921-9

  • Online ISBN: 978-3-642-56927-2

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