Principles of Neural Information Theory: Computational Neuroscience and Metabolic Efficiency

Stone, James V.

ISBN 10: 0993367968 / ISBN 13: 9780993367960

Edité par Tutorial Introductions, 2018

Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less 1. N° de réf. du vendeur G0993367968I3N00

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 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.

À propos de l?auteur: Dr James Stone is an Honorary Reader in Vision and Computational Neuroscience at the University of Sheffield, England.

Détails bibliographiques

Titre : Principles of Neural Information Theory: ...
Éditeur : Tutorial Introductions
Date d'édition : 2018
Reliure : Hardcover
Etat : Good
Etat de la jaquette : No Jacket