Titre: Principles of Neural Information Theory: Computational Neuroscience and Metabolic Efficiency (Paperback or Softback)
�diteur: Tutorial Introductions 5/15/2018
Date de parution: 2018
Langue: anglais
ISBN � 10 chiffres: 0993367925
ISBN � 13 chiffres: 9780993367922
Reliure: Paperback or Softback
�tat de l'article: New
Poids: 0,64�livre
Type de livre: Book

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.

� propos de l?auteur

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

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