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. ��-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.
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.