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Principles of Neural Information Theory: Computational Neuroscience and Metabolic Efficiency

by James V. Stone
Save 17% Save 17%
Current price ₹10,320.00
Original price ₹12,384.00
Original price ₹12,384.00
Original price ₹12,384.00
(-17%)
₹10,320.00
Current price ₹10,320.00

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Book cover type: Hardcover
  • ISBN13: 9780993367960
  • Binding: Hardcover
  • Subject: N/A
  • Publisher: Tutorial Introductions
  • Publisher Imprint: Tutorial Introductions
  • Publication Date:
  • Pages: 214
  • Original Price: USD 95.0
  • Language: English
  • Edition: Annotated ed
  • Item Weight: 454 grams
  • BISAC Subject(s): Information Theory

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.

Stone, James V.: - Dr James Stone is an Honorary Reader in Vision and Computational Neuroscience at the University of Sheffield, England.

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