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CMOS Analog Neural Network Systems Based on Oscillatory Neurons

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Book cover Silicon Implementation of Pulse Coded Neural Networks

Part of the book series: The Springer International Series in Engineering and Computer Science ((SECS,volume 266))

Abstract

The area of Artificial Neural Networks consists of building machines and algorithms that are based somehow on the structure of natural brains. It has been shown during the past years that such type of machines are able to do human kind of tasks (associative memories, pattern recognition, feature extraction, ...) much more efficiently than conventional algorithms running on conventional computers.

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Author information

Authors and Affiliations

  1. Dept. of Analog Circuit Design, Ed. CICA, Centro Nacional de Microelectrónica, Av. Reina Mercedes s/n, 41012, Sevilla, Spain

    Bernabé Linares-Barranco, Angel Rodríguez-Vázquez & José L. Huertas

  2. Dept. of Electrical Engineering, Texas A&M University, College Station, 77843, TX, USA

    Edgar Sánchez-Sinencio

Authors
  1. Bernabé Linares-Barranco
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  2. Edgar Sánchez-Sinencio
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  3. Angel Rodríguez-Vázquez
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  4. José L. Huertas
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Editor information

Editors and Affiliations

  1. The George Washington University, USA

    Mona E. Zaghloul

  2. Washington State University, USA

    Jack L. Meador

  3. University of Maryland, USA

    Robert W. Newcomb

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© 1994 Springer Science+Business Media New York

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Linares-Barranco, B., Sánchez-Sinencio, E., Rodríguez-Vázquez, A., Huertas, J.L. (1994). CMOS Analog Neural Network Systems Based on Oscillatory Neurons. In: Zaghloul, M.E., Meador, J.L., Newcomb, R.W. (eds) Silicon Implementation of Pulse Coded Neural Networks. The Springer International Series in Engineering and Computer Science, vol 266. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-2680-3_10

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  • DOI: https://doi.org/10.1007/978-1-4615-2680-3_10

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4613-6152-7

  • Online ISBN: 978-1-4615-2680-3

  • eBook Packages: Springer Book Archive

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