{"product_id":"models-of-the-mind-how-physics-engineering-and-mathematics-have-shaped-our-understanding-of-the-brain-9781472966438","title":"Models of the Mind: How Physics, Engineering and Mathematics Have Shaped Our Understanding of the Brain","description":"\u003cp\u003e\u003cb\u003eThe human brain is made up of 85 billion neurons, which are connected by over 100 trillion synapses. \u003c\/b\u003e \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003eFor more than a century, a diverse array of researchers searched for a language that could be used to capture the essence of what these neurons do and how they communicate - and how those communications create thoughts, perceptions and actions. The language they were looking for was mathematics, and we would not be able to understand the brain as we do today without it. \u003cp\u003e\u003c\/p\u003eIn \u003ci\u003eModels of the Mind\u003c\/i\u003e, author and computational neuroscientist Grace Lindsay explains how mathematical models have allowed scientists to understand and describe many of the brain's processes, including decision-making, sensory processing, quantifying memory, and more. She introduces readers to the most important concepts in modern neuroscience, and highlights the tensions that arise when the abstract world of mathematical modelling collides with the messy details of biology. \u003cp\u003e\u003c\/p\u003eEach chapter of \u003ci\u003eModels of the Mind\u003c\/i\u003e focuses on mathematical tools that have been applied in a particular area of neuroscience, progressing from the simplest building block of the brain - the individual neuron - through to circuits of interacting neurons, whole brain areas and even the behaviours that brains command. \u003cp\u003e\u003c\/p\u003eLindsay examines the history of the field, starting with experiments done on frog legs in the late eighteenth century and building to the large models of artificial neural networks that form the basis of modern artificial intelligence. Throughout, she reveals the value of using the elegant language of mathematics to describe the machinery of neuroscience.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAuthor:\u003c\/b\u003e \u003ca href=\"https:\/\/sureshotbooks-com.myshopify.com\/search?type=product%2Carticle%2Cpage\u0026amp;q=AUTH-13279368\"\u003eGrace Lindsay\u003c\/a\u003e\u003cbr\u003e\u003cb\u003ePublisher:\u003c\/b\u003e Bloomsbury SIGMA\u003cbr\u003e\u003cb\u003ePublished:\u003c\/b\u003e 11\/29\/2022\u003cbr\u003e\u003cb\u003ePages:\u003c\/b\u003e 400\u003cbr\u003e\u003cb\u003eBinding Type:\u003c\/b\u003e Paperback\u003cbr\u003e\u003cb\u003eWeight:\u003c\/b\u003e 0.90lbs\u003cbr\u003e\u003cb\u003eSize:\u003c\/b\u003e 8.43h x 5.28w x 1.34d\u003cbr\u003e\u003cb\u003eISBN13:\u003c\/b\u003e 9781472966438\u003cbr\u003e\u003cb\u003eISBN10:\u003c\/b\u003e 1472966430\u003cbr\u003e\u003cb\u003eBISAC Categories:\u003c\/b\u003e\u003cbr\u003e- \u003ca href=\"https:\/\/sureshotbooks-com.myshopify.com\/search?type=product%2Carticle%2Cpage\u0026amp;q=CAT-MAT\"\u003eMathematics\u003c\/a\u003e | \u003ca href=\"https:\/\/sureshotbooks-com.myshopify.com\/search?type=product%2Carticle%2Cpage\u0026amp;q=BISAC-MAT034000\"\u003eMathematical Analysis\u003c\/a\u003e\u003cbr\u003e- \u003ca href=\"https:\/\/sureshotbooks-com.myshopify.com\/search?type=product%2Carticle%2Cpage\u0026amp;q=CAT-SCI\"\u003eScience\u003c\/a\u003e | \u003ca href=\"https:\/\/sureshotbooks-com.myshopify.com\/search?type=product%2Carticle%2Cpage\u0026amp;q=BISAC-SCI089000\"\u003eLife Sciences | Neuroscience\u003c\/a\u003e\u003cbr\u003e- \u003ca href=\"https:\/\/sureshotbooks-com.myshopify.com\/search?type=product%2Carticle%2Cpage\u0026amp;q=CAT-SCI\"\u003eScience\u003c\/a\u003e | \u003ca href=\"https:\/\/sureshotbooks-com.myshopify.com\/search?type=product%2Carticle%2Cpage\u0026amp;q=BISAC-SCI040000\"\u003ePhysics | Mathematical \u0026amp; Computational\u003c\/a\u003e\u003cbr\u003e\u003cbr\u003e\u003cp\u003e\u003cb\u003eAbout the Author\u003c\/b\u003e\u003cbr\u003e\u003cb\u003eGrace Lindsay\u003c\/b\u003e is a computational neuroscientist currently based at University College London. She completed her PhD at the Center for Theoretical Neuroscience at Columbia University, where her research focused on building mathematical models of how the brain controls sensory processing. Before that, she earned a bachelor's degree in Neuroscience from the University of Pittsburgh and received a research fellowship to study at the Bernstein Center for Computational Neuroscience in Freiburg, Germany. She was awarded a Google PhD Fellowship in Computational Neuroscience in 2016 and has spoken at several international conferences.\u003c\/p\u003e","brand":"Bloomsbury SIGMA","offers":[{"title":"Default Title","offer_id":44481742340333,"sku":"9781472966438","price":18.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0550\/8097\/6621\/files\/img_fc52bae9-ad09-4545-ab9a-ab6040bda22c.jpg?v=1747498990","url":"https:\/\/sureshotbooks.com\/products\/models-of-the-mind-how-physics-engineering-and-mathematics-have-shaped-our-understanding-of-the-brain-9781472966438","provider":"SureShot Books Publishing LLC","version":"1.0","type":"link"}