Principles of Neural Information Theory - Computational Neuroscience and Metabolic Efficiency (Broché)

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 determine the neuroanatomical microstructure of the eye and brain.