Principles of Neural Information Theory Computational Neuroscience and Metabolic Efficiency Tutorial Introductions

James V. Stone

ISBN 10: 0993367925 / ISBN 13: 9780993367922

Edité par Sebtel Press, 2018

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Synopsis :

The brain is the most complex computational machine known to science, even though its components (neurons) are slow and unreliable compared to a laptop computer. In this richly illustrated book, Shannon's mathematical theory of information is used to explore the computational efficiency of neurons, with special reference to visual perception and the efficient coding hypothesis. Evidence from a diverse range of research papers is used to show how information theory defines absolute limits on neural processing; limits which ultimately determine the neuroanatomical microstructure of the eye and brain. Written in an informal style, with a comprehensive glossary, tutorial appendices, and a list of annotated Further Readings, this book is an ideal introduction to the principles of neural information theory.

À propos de l?auteur: Dr James Stone is an Honorary Reader in Vision and Computational Neuroscience at the University of Sheffield, England.

Détails bibliographiques

Titre : Principles of Neural Information Theory ...
Éditeur : Sebtel Press
Date d'édition : 2018
Reliure : PAP
Etat : New