Principles of Neural Information Theory: Computational Neuroscience and Metabolic Efficiency - James V Stone |
|
 Книги
|
Рейтинг публикации: 0 (голосов: 0) |
|
|
https://i123.fastpic.org/big/2024/0725/68/81b41ced46f3c0a52a7e4ad752510968.jpg
pdf | 16.64 MB | English | Isbn: 9780993367922 | Author: James V Stone | Year: 2018
About ebook : Principles of Neural Information Theory: Computational Neuroscience and Metabolic Efficiency
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.
https://filestore.me/9p258ei1chjj
- Добавлено: 25/07/2024
- Автор: 0dayhome
- Просмотрено: 5
Общий размер публикации: 16,65 МБ
|
