Information Theoretic Neural Computation

Information Theoretic Neural Computation

By: Ryotaro Kamimura (author)Hardback

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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. alpha-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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Information in neural networks; information minimization; information maximization; constrained information maximization; neural feature detectors; information maximization and minimization; information controller; information control by alpha-entropy; integrated information processing systems.

Product Details

  • publication date: 01/12/2002
  • ISBN13: 9789810240752
  • Format: Hardback
  • Number Of Pages: 220
  • ID: 9789810240752
  • weight: 445
  • ISBN10: 9810240759

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