Principles of Neural Information Theory: Computational Neuroscience and Metabolic Efficiency (Tutorial Introductions) - Couverture souple

Stone, James V

Couverture souple

ISBN 10 : 0993367925 ISBN 13 : 9780993367922

Editeur : Sebtel Press, 2018

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.

A propos du livre

À propos de l?auteur

Dr James Stone is an Honorary Reader in Vision and Computational Neuroscience at the University of Sheffield, England.

Détails de l'édition

• Éditeur: Sebtel Press
• Date d'édition: 2018
• Langue: anglais
• ISBN 10: 0993367925
• ISBN 13: 9780993367922
• Reliure: Broché
• Numéro d'édition: 1
• Nombre de pages: 211
• Coordonnées du fabricant: Manufactured by Amazon on behalf of the author; https://www.amazon.fr/hz/contact-us; ; c/o Amazon Media EU S.à.r.l., 38 Avenue John F. Kennedy; Luxembourg; L-1855; Luxembourg