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

Stone, James V

Hardcover

ISBN 10: 0993367968 ISBN 13: 9780993367960

Verlag: Tutorial Introductions, 2018

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 diesen Titel

Über die Autorin bzw. den Autor

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

Details zur Ausgabe

• Verlag: Tutorial Introductions
• Erscheinungsdatum: 2018
• Sprache: Englisch
• ISBN 10: 0993367968
• ISBN 13: 9780993367960
• Einband: Tapa dura
• Anzahl der Seiten: 214
• Kontakt zum Hersteller: Nicht verfügbar
• Verantwortliche Person: Nicht verfügbar