Principles of Neural Information Theory: Computational Neuroscience and Metabolic Efficiency

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.

Binding Type: Paperback
Publisher: Tutorial Introductions
Published: 05/15/2018
ISBN: 9780993367922
Pages: 214
Weight: 0.64lbs
Size: 9.00h x 6.00w x 0.45d