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Principles of Neural Information Theory: Computational Neuroscience and Metabolic Efficiency

by Principles of Neural Information Theory: Computational Neuroscience and Metabolic Efficiency

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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.

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Product Details

  • Sebtel Press Brand
  • May 15, 2018 Pub Date:
  • 9780993367922 ISBN-13:
  • 0993367925 ISBN-10:
  • English Language
  • 9 in * 0.48 in * 6 in Dimensions:
  • 1 lb Weight: