Principles of Neural Information Theory: Computational Neuroscience and Metabolic Efficiency - Paperback

FormatBook

Language English

ISBN-13 / SKU 9780993367922

About this item

by James V. Stone (Author)

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.

Number of Pages: 214

Dimensions: 0.45 x 9 x 6 IN

Illustrated: Yes

Publication Date: June 05, 2018

$40.77

Temporarily out of stock.