Principles of Neural Information Theory: Computational Neuroscience and Metabolic Efficiency - Brossura

Stone, James V

 
9780993367922: Principles of Neural Information Theory: Computational Neuroscience and Metabolic Efficiency
Brossura
ISBN 10: 0993367925 ISBN 13: 9780993367922
Casa editrice: Sebtel Press, 2018

Sinossi

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 computational efficiency of neurons, with special reference to visual perception and the efficient coding hypothesis. Evidence from a diverse range of research papers is used to show how information theory defines absolute limits on neural processing; limits which ultimately determine the neuroanatomical microstructure of the eye and brain. Written in an informal style, with a comprehensive glossary, tutorial appendices, and a list of annotated Further Readings, this book is an ideal introduction to the principles of neural information theory.

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Informazioni sull?autore

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

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Editore
Sebtel Press
Data di pubblicazione
2018
Lingua
Inglese
ISBN 10 
0993367925
ISBN 13 
9780993367922
Rilegatura
Copertina flessibile
Numero edizione
1
Numero di pagine
226
Contatto del produttore
Manufactured by Amazon on behalf of the author
https://www.amazon.it/hz/contact-us

c/o Amazon Media EU S.à.r.l., 38 Avenue John F. Kennedy
Luxembourg
L-1855
Lussemburgo

Altre edizioni note dello stesso titolo

9780993367960: Principles of Neural Information Theory: Computational Neuroscience and Metabolic Efficiency

Edizione in evidenza

ISBN 10:  0993367968 ISBN 13:  9780993367960
Casa editrice: Tutorial Introductions, 2018
Rilegato