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portada Principles of Neural Information Theory: Computational Neuroscience and Metabolic Efficiency (Tutorial Introductions)
Type
Physical Book
Author
Publisher
Year
2018
Language
English
Pages
212
Format
Paperback
Dimensions
22.9 x 15.2 x 1.1 cm
Weight
0.29 kg.
ISBN13
9780993367922
Edition No.
1
Categories

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

James V. Stone (Author) · Tutorial Introductions · Paperback

Principles of Neural Information Theory: Computational Neuroscience and Metabolic Efficiency (Tutorial Introductions) - Stone, James V.

New Book Imported to New Zealand
Delivery: 07 Jul - 14 Jul Shipping: 5 to 6 business days.
NZ$ 68.05
Import costs and 15% GST included in the price ✅
NZ$ 68.05

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Synopsis "Principles of Neural Information Theory: Computational Neuroscience and Metabolic Efficiency (Tutorial Introductions) "

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.

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