Description

Book Synopsis
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. α-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.

Table of Contents
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.

Information Theoretic Neural Computation

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    A Hardback by Ryotaro Kamimura

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      Publisher: World Scientific Publishing Co Pte Ltd
      Publication Date: Publication Date: 23/12/2002
      ISBN13: 9789810240752, 978-9810240752
      ISBN10: 9810240759

      Description

      Book Synopsis
      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. α-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.

      Table of Contents
      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.

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