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Stone J Principles of Neural Information Theory Computational Neuroscience 2018

Category: eBooks



Stone J  Principles of Neural Information Theory Computational Neuroscience 2018

Stone J Principles of Neural Information Theory Computational Neuroscience 2018 | 9.71 MB
211 Pages

Title: Principles of Neural Information Theory: Computational Neuroscience and Metabolic Efficiency
Author: James Stone




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.

DOWNLOAD:

https://rapidgator.net/file/87c4ed830a5d45c5d2581837fb8669d4/Stone_J._Principles_of_Neural_Information_Theory.Computational_Neuroscience_2018.rar
https://k2s.cc/file/49ee0e9ba953c/Stone_J._Principles_of_Neural_Information_Theory.Computational_Neuroscience_2018.rar


   
   
   


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