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Principles of Neural Information Theory
Computational Neuroscience and Metabolic Efficiency
Taschenbuch von James V Stone
Sprache: Englisch

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Beschreibung
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.
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.
Über den Autor
Dr James Stone is an Honorary Reader in Vision and Computational Neuroscience at the University of Sheffield, England.
Details
Erscheinungsjahr: 2018
Genre: Informatik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Seiten: 214
Reihe: Tutorial Introductions
ISBN-13: 9780993367922
ISBN-10: 0993367925
Sprache: Englisch
Ausstattung / Beilage: Paperback
Einband: Kartoniert / Broschiert
Autor: Stone, James V
Hersteller: Tutorial Introductions
Maße: 229 x 152 x 12 mm
Von/Mit: James V Stone
Erscheinungsdatum: 15.05.2018
Gewicht: 0,318 kg
preigu-id: 113953592
Über den Autor
Dr James Stone is an Honorary Reader in Vision and Computational Neuroscience at the University of Sheffield, England.
Details
Erscheinungsjahr: 2018
Genre: Informatik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Seiten: 214
Reihe: Tutorial Introductions
ISBN-13: 9780993367922
ISBN-10: 0993367925
Sprache: Englisch
Ausstattung / Beilage: Paperback
Einband: Kartoniert / Broschiert
Autor: Stone, James V
Hersteller: Tutorial Introductions
Maße: 229 x 152 x 12 mm
Von/Mit: James V Stone
Erscheinungsdatum: 15.05.2018
Gewicht: 0,318 kg
preigu-id: 113953592
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