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Integrated artificial neural networks: components for higher level architectures with new properties

  • Conference paper
Neurocomputing

Part of the book series: NATO ASI Series ((NATO ASI F,volume 68))

Abstract

Artificial neural network architectures exhibit properties (associative memory, classification, generalization,…) which roughly approximate some of our elementary brain properties. Classical or parallel computer simulations have been, and still are, invaluable tools for investigating their behavior, but require more and more power, becoming increasingly costly. The regularity of most networks architecture make them good candidates for hardwiring, and even better, integration in silicon. In this case, it is also expected to take advantage of the intrinsic robustness of neural architectures, which could make acceptable some defective circuits which would otherwise be rejected by current standards. One can expect to gain orders of magnitude in overall efficiency when simulations are done on these specialized circuits. We shall quickly review some current developments in silicon, especially the digital 64 neurons feedback network with included learning circuitry that we develop in cooperation with the ESPCI group. We shall also give some information on a long term project of wafer-scale integration.

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Author information

Authors and Affiliations

  1. Laboratoire d’Informatique, Ecole Polytechnique, 91128, Palaiseau Cedex, France

    Michel Weinfeld

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  1. Michel Weinfeld
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Editor information

Editors and Affiliations

  1. Laboratoire de Recherche en Informatique, Université de Paris Sud, Bâtiment 490, F-91405, Orsay Cedex, France

    Françoise Fogelman Soulié

  2. Institut National Polytechnique de Grenoble, LTIRF, 46, avenue Félix Viallet, F-38031, Grenoble Cedex, France

    Jeanny Hérault

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© 1990 Springer-Verlag Berlin Heidelberg

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Weinfeld, M. (1990). Integrated artificial neural networks: components for higher level architectures with new properties. In: Soulié, F.F., Hérault, J. (eds) Neurocomputing. NATO ASI Series, vol 68. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-76153-9_15

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  • DOI: https://doi.org/10.1007/978-3-642-76153-9_15

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-76155-3

  • Online ISBN: 978-3-642-76153-9

  • eBook Packages: Springer Book Archive

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