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 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.

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: non disponible
• Personne responsable: non disponible