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Principles of Neural Information Theory：Computational Neuroscience and Metabolic Efficiency

Principles of Neural Information Theory：Computational Neuroscience and Metabolic Efficiency

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作者: James V Stone

出版社: Sebtel Press

出版时间: 2018-05

ISBN: 9780993367922

装帧: 其他

页数: 212页

分类: 外文古旧书>英文书>文学

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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, evidence from cutting-edge research is used to show how Shannon's information theory defines absolute limits on neural processing; limits which ultimately determine the neuroanatomical microstructure of the eye and brain. Written in an informal style, with a comprehensive glossary and tutorial appendices, this book is an ideal introduction to the principles of neural information theory.
内容简介:
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, evidence from cutting-edge research is used to show how Shannon's information theory defines absolute limits on neural processing; limits which ultimately determine the neuroanatomical microstructure of the eye and brain. Written in an informal style, with a comprehensive glossary and tutorial appendices, this book is an ideal introduction to the principles of neural information theory.

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