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International Work-Conference on Artificial Neural Networks

IWANN 1999: Engineering Applications of Bio-Inspired Artificial Neural Networks pp 188–197Cite as

Analog electronic system for simulating biological neurons

  • Artificial Neural Nets Simulation and Implementation
  • Conference paper
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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1607))

Abstract

This paper deals with the implementation of an analog electronic system capable of emulating and/or characterizing the electrical activity of biological neurons. We detail the main characteristics and performances of the system, and point out its litheness as an experimentation tool:

  • • high level of modeling accuracy, validated by simple and hybrid experiments.

  • • analog modeling principle, and possibility to emulate, in real time a large range of neurons or neural networks, thanks to a set of programmable parameters,

  • • model implementation simplicity, owing to a dedicated hardware and software interface.

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Author information

Authors and Affiliations

  1. IXL Microelectronics Laboratory, CNRS UMR 1126, ENSERB-Université Bordeaux 1, 351 cours de la Libération, 33405, Talence Cedex, France

    Vincent Douence, Arnaud Laflaquière & Sylvie Le Masson

  2. Institut Alfred Fessard, CNRS UPR 2212, av. de la Terrasse, 91198, Gif-sur-Yvette, France

    Thierry Bal

  3. Institut de Neurosciences François Magendie, INSERM U378, 1 rue Camille Saint-Saens, 33077, Bordeaux Cedex, France

    Gwendal Le Masson

Authors
  1. Vincent Douence
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  2. Arnaud Laflaquière
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  3. Sylvie Le Masson
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  4. Thierry Bal
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  5. Gwendal Le Masson
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Editor information

José Mira Juan V. Sánchez-Andrés

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© 1999 Springer-Verlag Berlin Heidelberg

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Douence, V., Laflaquière, A., Le Masson, S., Bal, T., Le Masson, G. (1999). Analog electronic system for simulating biological neurons. In: Mira, J., Sánchez-Andrés, J.V. (eds) Engineering Applications of Bio-Inspired Artificial Neural Networks. IWANN 1999. Lecture Notes in Computer Science, vol 1607. Springer, Berlin, Heidelberg . https://doi.org/10.1007/BFb0100485

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  • DOI: https://doi.org/10.1007/BFb0100485

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-66068-2

  • Online ISBN: 978-3-540-48772-2

  • eBook Packages: Springer Book Archive

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