Principles of Neural Information Theory Computational Neuroscience and Metabolic Efficiency Tutor
by [Stone, James V]
$105.21
Description
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.
Product Details
- Tutorial Introductions Brand
- May 26, 2018 Pub Date:
- 9780993367960 ISBN-13:
- 0993367968 ISBN-10:
- 214.0 pages Hardcover
- English Language
- 9 in * 0.5 in * 6 in Dimensions:
- 1 lb Weight:
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