Principles of Neural Information Theory: Computational Neuroscience and Metabolic Efficiency

Stone, James V,

ISBN 10: 0993367925 / ISBN 13: 9780993367922

Edité par Tutorial Introductions 2018-05, 2018

A propos de cet article

N° de réf. du vendeur 6666-IUK-9780993367922

Détails bibliographiques

• Titre: Principles of Neural Information Theory: Computational Neuroscience and Metabolic Efficiency
• Éditeur: Tutorial Introductions 2018-05
• Date de parution: 2018
• Langue: anglais
• ISBN à 10 chiffres: 0993367925
• ISBN à 13 chiffres: 9780993367922
• Reliure: PF
• État de l'article: New

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 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.

À propos de l?auteur

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