Information theoretic neural computation
In order to develop new types of information media and technology, it is essential to model complex and flexible information processing in living systems. This book presents a new approach to modeling complex information processing in living systems. Traditional information-theoretic methods in neur...
| Основен автор: | Kamimura, Ryotaro. |
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| Формат: | Електронен |
| Език: | English |
| Публикувано: |
Singapore ; River Edge, N.J. :
World Scientific,
℗♭2002.
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| Предмети: | |
| Онлайн достъп: |
http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=514089 |
| Резюме: |
In order to develop new types of information media and technology, it is essential to model complex and flexible information processing in living systems. This book presents a new approach to modeling complex information processing in living systems. Traditional information-theoretic methods in neural networks are unified in one framework, i.e. a-entropy. This new approach will enable information systems such as computers to imitate and simulate human complex behavior and to uncover the deepest secrets of the human mind. |
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| Физически характеристики: |
1 online resource. |
| Библиография: |
Includes bibliographical references (pages 197-203). |
| ISBN: |
9789812778598 9812778594 |