{"product_id":"principles-of-neural-information-theory-computational-neuroscience-and-metabolic-efficiency-9780993367960","title":"Principles of Neural Information Theory: Computational Neuroscience and Metabolic Efficiency","description":"\u003cp\u003e • Author(s): James V. Stone\u003cbr\u003e • Publisher: Tutorial Introductions\u003cbr\u003e • Publisher Imprint: Tutorial Introductions\u003cbr\u003e • BISAC: Information Theory\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\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","brand":"Tutorial Introductions","offers":[{"title":"Hardcover","offer_id":47780341383319,"sku":"9780993367960","price":10320.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9780993367960.webp?v=1778044571","url":"https:\/\/atlanticbooks.com\/products\/principles-of-neural-information-theory-computational-neuroscience-and-metabolic-efficiency-9780993367960","provider":"Atlantic Books","version":"1.0","type":"link"}