Title: Principles of Neural Information Theory: Computational Neuroscience and Metabolic Efficiency (Tutorial Introductions)
Publisher: Sebtel Press (edition Annotated)
Publication Date: 2018
Language: English
ISBN 10: 0993367925
ISBN 13: 9780993367922
Binding: Paperback
Edition: Annotated.
Condition: Very Good

About this title

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.

"About this title" may belong to another edition of this title.

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