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Principles of Neural Information Theory: Computational Neuroscience and Metabolic Efficiency

James V. Stone
4.9/5 (28607 ratings)
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 examples 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, and a list of annotated Further Readings, this book is an ideal introduction to the principles of neural information theory.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Principles of Neural Information Theory: Computational Neuroscience and Metabolic Efficiency. To get started finding Principles of Neural Information Theory: Computational Neuroscience and Metabolic Efficiency, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.
Pages
222
Format
PDF, EPUB & Kindle Edition
Publisher
Sebtel Press
Release
2018
ISBN

Principles of Neural Information Theory: Computational Neuroscience and Metabolic Efficiency

James V. Stone
4.4/5 (1290744 ratings)
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 examples 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, and a list of annotated Further Readings, this book is an ideal introduction to the principles of neural information theory.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Principles of Neural Information Theory: Computational Neuroscience and Metabolic Efficiency. To get started finding Principles of Neural Information Theory: Computational Neuroscience and Metabolic Efficiency, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.
Pages
222
Format
PDF, EPUB & Kindle Edition
Publisher
Sebtel Press
Release
2018
ISBN
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