Tor Sverre Lande Neuromorphic Systems Engineering 9781475782981

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Автор: Tor Sverre Lande
Название: Neuromorphic Systems Engineering
ISBN: 9781475782981
Издательство: Springer
Классификация:

Статистическая физика

Электротехническое машиностроение

Электроника

Схемы и компоненты

Теория вычислительных машин и систем, кибернетика

ISBN-10: 1475782985
Обложка/Формат: Soft cover
Страницы: 462
Вес: 0.74 кг.
Дата издания: 06.05.2013
Серия: The Springer International Series in Engineering and Computer Science
Язык: English
Издание: Softcover reprint of
Иллюстрации: Xvii, 462 p.
Размер: 234 x 156 x 25
Читательская аудитория: Professional & vocational
Основная тема: Circuits and Systems
Подзаголовок: Neural Networks in Silicon
Ссылка на Издательство: Link
Рейтинг:
Поставляется из: Германии
Описание: 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.

Neuromorphic Systems Engineering, Tor Sverre Lande