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:
| ISBN: | 9781475782981 |
| Publication date: | 6th May 2013 |
| 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 |
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.
Neuromorphic Systems Engineering features in the following genres: Electronics: circuits and components, Cybernetics and systems theory, Mathematical physics, Electrical engineering, Computer science
Paperback, Hardback. Not Available.
Neuromorphic Systems Engineering was written by Tor Sverre Lande and published by Springer an imprint of Springer US
Neuromorphic Systems Engineering has 462 pages
Yes it is part of The Springer International Series in Engineering and Computer Science series