Neuromorphic Systems Engineering: Neural Networks in Silicon: 447 (The Springer International Series in Engineering and Computer Science) - Softcover

 
9781475782981: Neuromorphic Systems Engineering: Neural Networks in Silicon: 447 (The Springer International Series in Engineering and Computer Science)
Softcover
ISBN 10: 1475782985 ISBN 13: 9781475782981
Verlag: Springer, 2013

Inhaltsangabe

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.

    • Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.

    Reseña del editor

    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.

    • „Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.

    Verlag
    Springer
    Erscheinungsdatum
    2013
    Sprache
    Englisch
    ISBN 10 
    1475782985
    ISBN 13 
    9781475782981
    Einband
    Tapa blanda
    Anzahl der Seiten
    484
    Herausgeber
    Lande Tor Sverre
    Kontakt zum Hersteller
    Nicht verfügbar
    Verantwortliche Person
    CMN Printpool Inh. Mathis Neumann
    https://www.also.com/ec/cms5/en_6000/6000/index.jsp

    Friedrich-Karl-Str. 9
    Hamburg
    Deutschland

    Weitere beliebte Ausgaben desselben Titels

    9780792381587: Neuromorphic Systems Engineering: Neural Networks in Silicon: 447 (The Springer International Series in Engineering and Computer Science)

    Vorgestellte Ausgabe

    ISBN 10:  0792381580 ISBN 13:  9780792381587
    Verlag: Springer, 1998
    Hardcover