NEUROMORPHIC SYSTEMS ENGINEERING: NEURAL NETWORKS IN SILICON

Lande, Tor Sverre [Editor]

ISBN 10: 0792381580 / ISBN 13: 9780792381587

Edité par Kluwer Academic Publishing, Boston, MA, 1998

A propos de cet article

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.

N° de réf. du vendeur 1379905

Détails bibliographiques

• Titre: NEUROMORPHIC SYSTEMS ENGINEERING: NEURAL NETWORKS IN SILICON
• Éditeur: Kluwer Academic Publishing, Boston, MA
• Date de parution: 1998
• Langue: anglais
• ISBN à 10 chiffres: 0792381580
• ISBN à 13 chiffres: 9780792381587
• Reliure: Hardcover
• Édition: First Edition.
• Catalogues du vendeur:
  • Sciences, Math, Medicine, & Natural History

A propos de ce titre

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.