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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.
Author: James V. Stone
Publisher: Tutorial Introductions
Published: 05/15/2018
Pages: 214
Binding Type: Paperback
Weight: 0.64lbs
Size: 9.00h x 6.00w x 0.45d
ISBN13: 9780993367922
ISBN10: 0993367925
BISAC Categories:
- Computers | Information Theory
- Science | Life Sciences | Neuroscience
- Medical | Neuroscience
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