Justification of Neural Modeling

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Self-Organizing Maps

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, whereby 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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© 1997 Springer-Verlag Berlin Heidelberg

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Kohonen, T. (1997). Justification of Neural Modeling. In: Self-Organizing Maps. Springer Series in Information Sciences, vol 30. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-97966-8_2

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  • DOI: https://doi.org/10.1007/978-3-642-97966-8_2

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-62017-4

  • Online ISBN: 978-3-642-97966-8

  • eBook Packages: Springer Book Archive

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