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

Stone, James V

ISBN 10: 0993367925 / ISBN 13: 9780993367922

Verlag: Sebtel Press, 2018

Beschreibung

New.

Bestandsnummer des Verkäufers ERICA79009933679256

Bibliografische Details

• Titel: Principles of Neural Information Theory: Computational Neuroscience and Metabolic Efficiency (Tutorial Introductions)
• Verlag: Sebtel Press
• Erscheinungsjahr: 2018
• Sprache: Englisch
• ISBN-10: 0993367925
• ISBN-13: 9780993367922
• Einband: Paperback
• Zustand: New
• Buchtyp: book

Über diesen Titel

Inhaltsangabe

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 die Autorin bzw. den Autor

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