Principles of Neural Information Theory

James V Stone

ISBN 10: 0993367925 / ISBN 13: 9780993367922

Edité par Tutorial Introductions Mai 2018, 2018

A propos de cet article

This item is printed on demand - Print on Demand Titel. Neuware -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 metabolic efficiency of neurons, with special reference to visual perception. Evidence from a diverse range of research papers is used to show how information theory defines absolute limits on neural efficiency; limits which ultimately determine the neuroanatomical microstructure of the eye and brain. Written in an informal style, with a comprehensive glossary, tutorial appendices, explainer boxes, and a list of annotated Further Readings, this book is an ideal introduction to cutting-edge research in neural information theory.Libri GmbH, Europaallee 1, 36244 Bad Hersfeld 214 pp. Englisch. N° de réf. du vendeur 9780993367922

Détails bibliographiques

Titre : Principles of Neural Information Theory

Éditeur : Tutorial Introductions Mai 2018

Date d'édition : 2018

Reliure : Taschenbuch

Etat : Neu

A propos de ce titre

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.