-
Anglický jazyk
Principles of Neural Information Theory
Autor: James V Stone
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... Viac o knihe
Na objednávku, dodanie 2-4 týždne
31.86 €
bežná cena: 35.40 €
O knihe
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.
- Vydavateľstvo: Tutorial Introductions
- Rok vydania: 2018
- Formát: Paperback
- Rozmer: 229 x 152 mm
- Jazyk: Anglický jazyk
- ISBN: 9780993367922
Nemecký jazyk 
