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

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

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.
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    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.
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    9781475782981: Neuromorphic Systems Engineering: Neural Networks in Silicon: 447 (The Springer International Series in Engineering and Computer Science)

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    ISBN 10:  1475782985 ISBN 13:  9781475782981
    Verlag: Springer, 2013
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    Lande, Tor Sverre [Editor]
    ISBN 10: 0792381580 ISBN 13: 9780792381587
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    Hardcover. First Edition. Octavo, xvi, 462 pages. In Very Good condition. Faded blue spine with white and yellow lettering. Boards have mild shelving wear, a small dent on tail edge of rear board, a bend along tail corner of rear board, and mild wear along spine head and tail. Textblock has a pen inscription from previous owner on front end-page and mild wear along head and tail edges. Shelved ND-C. 1379905. FP New Rockville Stock. Artikel-Nr. 1379905

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    Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. Artikel-Nr. 9780792381587

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