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Librería: Big River Books, Powder Springs, GA, Estados Unidos de America
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Añadir al carritopaperback. Condición: Very Good. Principles of Neural Design (The MIT Press) This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping.
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Añadir al carritopaperback. Condición: Very Good. This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping.
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Añadir al carritoCondición: New. pp. 568.
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Librería: INDOO, Avenel, NJ, Estados Unidos de America
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Añadir al carritoCondición: New. Brand New.
Idioma: Inglés
Publicado por MIT Press Ltd, Cambridge, Mass., 2017
ISBN 10: 0262534681 ISBN 13: 9780262534680
Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de America
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Añadir al carritoPaperback. Condición: new. Paperback. Two distinguished neuroscientists distil general principles from more than a century of scientific study, "reverse engineering" the brain to understand its design.Neuroscience research has exploded, with more than fifty thousand neuroscientists applying increasingly advanced methods. A mountain of new facts and mechanisms has emerged. And yet a principled framework to organize this knowledge has been missing. In this book, Peter Sterling and Simon Laughlin, two leading neuroscientists, strive to fill this gap, outlining a set of organizing principles to explain the whys of neural design that allow the brain to compute so efficiently.Setting out to "reverse engineer" the brain-disassembling it to understand it-Sterling and Laughlin first consider why an animal should need a brain, tracing computational abilities from bacterium to protozoan to worm. They examine bigger brains and the advantages of "anticipatory regulation"; identify constraints on neural design and the need to "nanofy"; and demonstrate the routes to efficiency in an integrated molecular system, phototransduction. They show that the principles of neural design at finer scales and lower levels apply at larger scales and higher levels; describe neural wiring efficiency; and discuss learning as a principle of biological design that includes "save only what is needed."Sterling and Laughlin avoid speculation about how the brain might work and endeavor to make sense of what is already known. Their distinctive contribution is to gather a coherent set of basic rules and exemplify them across spatial and functional scales. Two distinguished neuroscientists distil general principles from more than a century of scientific study, reverse engineering the brain to understand its design. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Añadir al carritoPaperback. Condición: Brand New. reprint edition. 568 pages. 9.00x6.00x0.93 inches. In Stock.
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Añadir al carritoCondición: New. pp. 568.
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Añadir al carritoCondición: New. pp. 568.
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Añadir al carritoPaperback / softback. Condición: New. New copy - Usually dispatched within 4 working days.
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Añadir al carritoCondición: New. 2017. Reprint. Paperback. . . . . .
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Idioma: Inglés
Publicado por MIT Press Ltd, Cambridge, Mass., 2017
ISBN 10: 0262534681 ISBN 13: 9780262534680
Librería: CitiRetail, Stevenage, Reino Unido
EUR 50,08
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Añadir al carritoPaperback. Condición: new. Paperback. Two distinguished neuroscientists distil general principles from more than a century of scientific study, "reverse engineering" the brain to understand its design.Neuroscience research has exploded, with more than fifty thousand neuroscientists applying increasingly advanced methods. A mountain of new facts and mechanisms has emerged. And yet a principled framework to organize this knowledge has been missing. In this book, Peter Sterling and Simon Laughlin, two leading neuroscientists, strive to fill this gap, outlining a set of organizing principles to explain the whys of neural design that allow the brain to compute so efficiently.Setting out to "reverse engineer" the brain-disassembling it to understand it-Sterling and Laughlin first consider why an animal should need a brain, tracing computational abilities from bacterium to protozoan to worm. They examine bigger brains and the advantages of "anticipatory regulation"; identify constraints on neural design and the need to "nanofy"; and demonstrate the routes to efficiency in an integrated molecular system, phototransduction. They show that the principles of neural design at finer scales and lower levels apply at larger scales and higher levels; describe neural wiring efficiency; and discuss learning as a principle of biological design that includes "save only what is needed."Sterling and Laughlin avoid speculation about how the brain might work and endeavor to make sense of what is already known. Their distinctive contribution is to gather a coherent set of basic rules and exemplify them across spatial and functional scales. Two distinguished neuroscientists distil general principles from more than a century of scientific study, reverse engineering the brain to understand its design. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Añadir al carritoPaperback. Condición: New.
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Añadir al carritoCondición: New. Peter Sterling is Professor of Neuroscience at the University of Pennsylvania School of Medicine. He is the coauthor (with Simon Laughlin) of Principles of Neural Design (MIT Press). Simon Laughlin is Emeritus Professor of Neurobiology in the.
Idioma: Inglés
Publicado por MIT Press Ltd Jun 2017, 2017
ISBN 10: 0262534681 ISBN 13: 9780262534680
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 44,21
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Añadir al carritoTaschenbuch. Condición: Neu. Neuware - Two distinguished neuroscientists distil general principles from more than a century of scientific study, reverse engineering the brain to understand its design.Neuroscience research has exploded, with more than fifty thousand neuroscientists applying increasingly advanced methods. A mountain of new facts and mechanisms has emerged. And yet a principled framework to organize this knowledge has been missing. In this book, Peter Sterling and Simon Laughlin, two leading neuroscientists, strive to fill this gap, outlining a set of organizing principles to explain the whys of neural design that allow the brain to compute so efficiently. Setting out to reverse engineer the brain disassembling it to understand it Sterling and Laughlin first consider why an animal should need a brain, tracing computational abilities from bacterium to protozoan to worm. They examine bigger brains and the advantages of anticipatory regulation ; identify constraints on neural design and the need to nanofy ; and demonstrate the routes to efficiency in an integrated molecular system, phototransduction. They show that the principles of neural design at finer scales and lower levels apply at larger scales and higher levels; describe neural wiring efficiency; and discuss learning as a principle of biological design that includes save only what is needed. Sterling and Laughlin avoid speculation about how the brain might work and endeavor to make sense of what is already known. Their distinctive contribution is to gather a coherent set of basic rules and exemplify them across spatial and functional scales.
Idioma: Inglés
Publicado por MIT Press Ltd, Cambridge, Mass., 2017
ISBN 10: 0262534681 ISBN 13: 9780262534680
Librería: AussieBookSeller, Truganina, VIC, Australia
EUR 79,49
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Añadir al carritoPaperback. Condición: new. Paperback. Two distinguished neuroscientists distil general principles from more than a century of scientific study, "reverse engineering" the brain to understand its design.Neuroscience research has exploded, with more than fifty thousand neuroscientists applying increasingly advanced methods. A mountain of new facts and mechanisms has emerged. And yet a principled framework to organize this knowledge has been missing. In this book, Peter Sterling and Simon Laughlin, two leading neuroscientists, strive to fill this gap, outlining a set of organizing principles to explain the whys of neural design that allow the brain to compute so efficiently.Setting out to "reverse engineer" the brain-disassembling it to understand it-Sterling and Laughlin first consider why an animal should need a brain, tracing computational abilities from bacterium to protozoan to worm. They examine bigger brains and the advantages of "anticipatory regulation"; identify constraints on neural design and the need to "nanofy"; and demonstrate the routes to efficiency in an integrated molecular system, phototransduction. They show that the principles of neural design at finer scales and lower levels apply at larger scales and higher levels; describe neural wiring efficiency; and discuss learning as a principle of biological design that includes "save only what is needed."Sterling and Laughlin avoid speculation about how the brain might work and endeavor to make sense of what is already known. Their distinctive contribution is to gather a coherent set of basic rules and exemplify them across spatial and functional scales. Two distinguished neuroscientists distil general principles from more than a century of scientific study, reverse engineering the brain to understand its design. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.