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Neuromorphic Systems Engineering

Name: Neuromorphic Systems Engineering
Brand: Springer-Verlag New York Inc.
SKU: 9781475782981
Price: 3426 CZK
Availability: InStock

Neural Networks in Silicon

Autor: Tor Sverre Lande

Jazyk:

Vazba: Brožovaná

Vydavatel: Springer-Verlag New York Inc.

Dostupnost: Skladem u dodavatele

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Neuromorphic Systems Engineering: Neural Networks in Silicon emphasizes three important aspects of t...

Informace o knize

Autor

Tor Sverre Lande

Jazyk

Angličtina

Vazba

Kniha - Brožovaná

Vydáno

2013

Stránek

462

EAN

9781475782981

ISBN

1475782985

Enbook ID

02254212

Vydavatel

Springer-Verlag New York Inc.

Hmotnost

735

Rozměry

155 x 235 x 27

Kompletní popis

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 Pds. /LIST Pds. §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

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