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Published by Tutorial Introductions 5/15/2018, 2018
ISBN 10: 0993367925 ISBN 13: 9780993367922
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Published by Tutorial Introductions 2018-05, 2018
ISBN 10: 0993367925 ISBN 13: 9780993367922
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Published by Tutorial Introductions Mai 2018, 2018
ISBN 10: 0993367925 ISBN 13: 9780993367922
Language: English
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Add to basketTaschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 214 pp. Englisch.
Published by Tutorial Introductions, 2018
ISBN 10: 0993367925 ISBN 13: 9780993367922
Language: English
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Add to basketTaschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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.
Published by Tutorial Introductions, 2018
ISBN 10: 0993367925 ISBN 13: 9780993367922
Language: English
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Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Über den AutorDr James Stone is an Honorary Reader in Vision and Computational Neuroscience at the University of Sheffield, England.KlappentextrnrnThe brain is the most complex computational machine known to scie.
Published by Tutorial Introductions Mai 2018, 2018
ISBN 10: 0993367925 ISBN 13: 9780993367922
Language: English
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Add to basketTaschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.Libri GmbH, Europaallee 1, 36244 Bad Hersfeld 214 pp. Englisch.