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Principles of Neural Information Theory: Computational Neuroscience and Metabolic Efficiency (Tutorial Introductions) - Couverture souple

Stone, James V

 
9780993367922: Principles of Neural Information Theory: Computational Neuroscience and Metabolic Efficiency (Tutorial Introductions)
Couverture souple
ISBN 10 : 0993367925 ISBN 13 : 9780993367922
Editeur : Sebtel Press, 2018

Synopsis

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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À propos de l'auteur

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

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
Sebtel Press
Date d'édition
2018
Langue
anglais
ISBN 10 
0993367925
ISBN 13 
9780993367922
Reliure
Broché
Numéro d'édition
1
Nombre de pages
211
Coordonnées du fabricant
Printed by Amazon on behalf of the author
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