{"product_id":"principles-of-neural-information-theory-computational-neuroscience-and-metabolic-efficiency-9780993367922","title":"Principles of Neural Information Theory: Computational Neuroscience and Metabolic Efficiency","description":"\u003cp\u003eThe 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. \u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAbout the Author\u003c\/b\u003e\u003cbr\u003e\u003cb\u003e\u003ci\u003eStone, James V.:\u003c\/i\u003e\u003c\/b\u003e - Dr James Stone is an Honorary Reader in Vision and Computational Neuroscience at the University of Sheffield, England.","brand":"Tutorial Introductions","offers":[{"title":"Default Title","offer_id":50414590263570,"sku":"9780993367922","price":20.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0831\/4771\/8930\/files\/img_de8da245-849a-4c15-b9d2-1067c720d199.jpg?v=1729374130","url":"https:\/\/surprise-castle.myshopify.com\/products\/principles-of-neural-information-theory-computational-neuroscience-and-metabolic-efficiency-9780993367922","provider":"Surprise Castle","version":"1.0","type":"link"}