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Neuromorphic Systems Engineering

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Neuromorphic Systems Engineering Synopsis

Neuromorphic Systems Engineering: Neural Networks in Silicon emphasizes three important aspects of this exciting new research field. The term neuromorphic expresses relations to computational models found in biological neural systems, which are used as inspiration for building large electronic systems in silicon. By adequate engineering, these silicon systems are made useful to mankind.
Neuromorphic Systems Engineering: Neural Networks in Silicon provides the reader with a snapshot of neuromorphic engineering today. It is organized into five parts viewing state-of-the-art developments within neuromorphic engineering from different perspectives.
Neuromorphic Systems Engineering: Neural Networks in Silicon provides the first collection of neuromorphic systems descriptions with firm foundations in silicon. Topics presented include:

  • large scale analog systems in silicon
  • neuromorphic silicon
  • auditory (ear) and vision (eye) systems in silicon
  • learning and adaptation in silicon
  • merging biology and technology
  • micropower analog circuit design
  • analog memory
  • analog interchipcommunication on digital buses £/LIST£
    Neuromorphic Systems Engineering: Neural Networks in Silicon serves as an excellent resource for scientists, researchers and engineers in this emerging field, and may also be used as a text for advanced courses on the subject.

  • About This Edition

    ISBN: 9781475782981
    Publication date:
    Author: Tor Sverre Lande
    Publisher: Springer an imprint of Springer US
    Format: Paperback
    Pagination: 462 pages
    Series: The Springer International Series in Engineering and Computer Science
    Genres: Electronics: circuits and components
    Cybernetics and systems theory
    Mathematical physics
    Electrical engineering
    Computer science

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