Principles of Neural Information Theory: Computational Neuroscience and Metabolic Efficiency (Tutorial Introductions) por James V Stone

Principles of Neural Information Theory: Computational Neuroscience and Metabolic Efficiency (Tutorial Introductions) por James V Stone

Titulo del libro: Principles of Neural Information Theory: Computational Neuroscience and Metabolic Efficiency (Tutorial Introductions)

Autor: James V Stone

Número de páginas: 212 páginas

Fecha de lanzamiento: May 23, 2018

ISBN: 0993367925

Editor: Sebtel Press

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James V Stone con Principles of Neural Information Theory: Computational Neuroscience and Metabolic Efficiency (Tutorial Introductions)

Páginas: 214 Géneros: 12:UYZM:Information architecture 12:PSAN:Neurosciences Sinopsis: 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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