Description: Please refer to the section BELOW (and NOT ABOVE) this line for the product details - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Title:Principles Of Neural Information Theory: Computational Neuroscience And Metabolic EfficiencyISBN13:9780993367922ISBN10:0993367925Author:Stone, James V. (Author)Description: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 Binding:Paperback, PaperbackPublisher:Tutorial IntroductionsPublication Date:2018-05-15Weight:0.64 lbsDimensions:0.45'' H x 9.02'' L x 5.98'' WNumber of Pages:214Language:English
Price: 18.53 USD
Location: USA
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Author: Stone, James V. (Author)
Book Title: Principles Of Neural Information Theory: Computational Neuro...
Language: English
Format: Paperback
Publisher: Tutorial Introductions
Publication Year: 2018
Item Weight: 0.64 lbs
