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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...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Kamimura, Ryotaro
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Singapore ; River Edge, N.J. : World Scientific, ©2002.
Temas:
Acceso en línea:Texto completo

MARC

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245 1 0 |a Information theoretic neural computation /  |c Ryotaro Kamimura. 
260 |a Singapore ;  |a River Edge, N.J. :  |b World Scientific,  |c ©2002. 
300 |a 1 online resource 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
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504 |a Includes bibliographical references (pages 197-203). 
505 0 |a 1. Introduction -- 2. Information in Neural Networks -- 3. Information Minimization -- 4. Information Maximization -- 5. Constrained Information Maximization -- 6. Neural Feature Detectors -- 7. Information Maximization and Minimization -- 8. Information Controller -- 9. Information Control by [alpha]-Entropy -- 10. Integrated Information Processing Systems -- App. A. Data Description -- App. B. Sonority. 
520 |a 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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650 6 |a Reconnaissance automatique de la parole. 
650 6 |a Entropie (Théorie de l'information) 
650 6 |a Ordinateurs neuronaux. 
650 6 |a Réseaux neuronaux (Informatique) 
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