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Principles of Neural Information Theory: Computational Neuroscience and Metabolic Efficiency

Principles of Neural Information Theory: Computational Neuroscience and Metabolic Efficiency

Hardcover

Series: Tutorial Introductions

Medical ReferenceCognitionGeneral Computers

ISBN10: 0993367968
ISBN13: 9780993367960
Publisher: Lightning Source Inc
Published: May 26 2018
Pages: 214
Weight: 1.00
Height: 0.50 Width: 6.00 Depth: 9.00
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.

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General Computers