Principles of Neural Information Theory: Computational Neuroscience and Metabolic Efficiency

The brain is the most complex computational machine known to science, even though its components (neurons) are...
¥9,599 JPY
¥9,599 JPY
SKU: 9780993367922
Product Type: Books
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Author: James V. Stone
Format: Paperback
Language: English
Subtotal: ¥9,599
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Principles of Neural Information Theory: Computational Neuroscience and Metabolic Efficiency by Stone, James V.

Principles of Neural Information Theory: Computational Neuroscience and Metabolic Efficiency

¥9,599

Principles of Neural Information Theory: Computational Neuroscience and Metabolic Efficiency

¥9,599
Author: James V. Stone
Format: Paperback
Language: English

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.



Author: James V. Stone
Publisher: Tutorial Introductions
Published: 05/15/2018
Pages: 214
Binding Type: Paperback
Weight: 0.64lbs
Size: 9.00h x 6.00w x 0.45d
ISBN: 9780993367922

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

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