Titel: Principles of Neural Information Theory: Computational Neuroscience and Metabolic Efficiency (Tutorial Introductions)
Verlag: Sebtel Press (edition Annotated)
Erscheinungsjahr: 2018
Sprache: Englisch
ISBN-10: 0993367925
ISBN-13: 9780993367922
Einband: Paperback
Auflage: Annotated.
Zustand: Very Good

�ber diesen Titel

Inhaltsangabe

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.

�ber die Autorin bzw. den Autor

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

��ber diesen Titel� kann sich auf eine andere Ausgabe dieses Titels beziehen.

Anbieterinformationen

BooksRun helps to save money on textbooks. We are committed to providing each customer with the highest standard of customer service. Please pay close attention to the description of the book and its condition you are ordering. If you have any questions or issues, please make sure to contact us first so we could resolve them. All orders are shipped on the same or the next business day. It usually takes 1 to 5 business days to receive your item if you choose expedited shipping. All orders submitted are eligible for a return within 30 days after the delivery. Thanks for shopping with us!

Zur Homepage des Verk�ufers