Principles of Neural Information Theory: Computational Neuroscience and Metabolic Efficiency
Stone, James V.
ISBN 10: 0993367968 ISBN 13: 9780993367960
Published by Tutorial Introductions, 2018
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About this Item
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May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less. Seller Inventory # G0993367968I4N00
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.
About the Author: Dr James Stone is an Honorary Reader in Vision and Computational Neuroscience at the University of Sheffield, England.
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Bibliographic Details
Title: Principles of Neural Information Theory: ...
Publisher: Tutorial Introductions
Publication Date: 2018
Binding: Hardcover
Condition: Very Good
Dust Jacket Condition: No Jacket
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