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This book introduces information theory for studying real and artificial neural complexes. Topics include neural information processing, memory, and storage in neural webs, neural network training, algorithmic representation of neural activity, information dynamics, and the semiotic framework of neural information representation and processing. TOC:Introduction.- Neural Complex: A Nonlinear Cl System?- Neural Complex vis-a-vis Statistical Mechanics, Entropy, Thermodynamics and Information Theory.- Neural Communication and Control in Information-Theoretic Plane.- Neural Complexity: An…mehr

Produktbeschreibung
This book introduces information theory for studying real and artificial neural complexes. Topics include neural information processing, memory, and storage in neural webs, neural network training, algorithmic representation of neural activity, information dynamics, and the semiotic framework of neural information representation and processing. TOC:Introduction.- Neural Complex: A Nonlinear Cl System?- Neural Complex vis-a-vis Statistical Mechanics, Entropy, Thermodynamics and Information Theory.- Neural Communication and Control in Information-Theoretic Plane.- Neural Complexity: An Algorithmic Representation.- Neural Information Dynamics, Semiotic Framework of Neural Information Processing.- Genetic Algorithmic Based Depiction of Neural Information.- Epilogue.- Appendix.
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Autorenporträt
P. S. Neelakanta