T�tulo: Principles of Neural Information Theory: Computational Neuroscience and Metabolic Efficiency (Tutorial Introductions)
Editor: Sebtel Press
Fecha de publicaci�n: 2018
Idioma: Ingl�s
ISBN 10: 0993367925
ISBN 13: 9780993367922
Encuadernaci�n: Encuadernaci�n de tapa blanda
Estado: New

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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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Dr James Stone is an Honorary Reader in Vision and Computational Neuroscience at the University of Sheffield, England.

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