Neuromorphic Systems Engineering

Tor Sverre Lande

ISBN 10: 0792381580 / ISBN 13: 9780792381587

Published by Springer US, Springer New York Apr 1998, 1998

About this Item

This item is printed on demand - Print on Demand Titel. Neuware -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 siliconneuromorphic siliconauditory (ear) and vision (eye) systems in siliconlearning and adaptation in siliconmerging biology and technologymicropower analog circuit designanalog memoryanalog 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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 484 pp. Englisch.

Seller Inventory # 9780792381587

Bibliographic Details

• Title: Neuromorphic Systems Engineering
• Publisher: Springer US, Springer New York Apr 1998
• Publication Date: 1998
• Language: English
• ISBN 10: 0792381580
• ISBN 13: 9780792381587
• Binding: Buch
• Condition: Neu

About this title

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.