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
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