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.