Condition: good. Gently used with minimal wear on the corners and cover. A few pages may contain light highlighting or writing, but the text remains fully legible. Dust jacket may be missing, and supplemental materials like CDs or codes may not be included. May be ex-library with library markings. Ships promptly!
Seller: Goodwill Southern California, Los Angeles, CA, U.S.A.
Condition: good. Paperback Book.
Condition: very_good. This book is in Very Good condition. The cover and pages have minor shelf wear. Binding is tight and pages are intact.
Condition: like_new. This book is in Like New condition. It is unused, but has a remainder mark on the edge of the pages. Otherwise it is a new book.
Condition: New. pp. 568.
Condition: As New. Unread book in perfect condition.
Language: English
Published by Penguin Random House, 2017
ISBN 10: 0262534681 ISBN 13: 9780262534680
Seller: INDOO, Avenel, NJ, U.S.A.
Condition: As New. Unread copy in mint condition.
Condition: New.
Language: English
Published by Penguin Random House, 2017
ISBN 10: 0262534681 ISBN 13: 9780262534680
Seller: INDOO, Avenel, NJ, U.S.A.
Condition: New. Brand New.
Language: English
Published by MIT Press Ltd, Cambridge, Mass., 2017
ISBN 10: 0262534681 ISBN 13: 9780262534680
Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.
Paperback. Condition: 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.
PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
Hardcover. Condition: As New. No Jacket. Pages are clean and are not marred by notes or folds of any kind. ~ ThriftBooks: Read More, Spend Less.
Hardcover. Condition: As New. No Jacket. Pages are clean and are not marred by notes or folds of any kind. ~ ThriftBooks: Read More, Spend Less.
Condition: NEW.
Paperback. Condition: New.
Paperback. Condition: New.
Condition: New. pp. 568.
Paperback. Condition: Brand New. reprint edition. 568 pages. 9.00x6.00x0.93 inches. In Stock.
Condition: New. pp. 568.
paperback. Condition: New.
Condition: New.
Condition: New. In.
Condition: As New. Unread book in perfect condition.
Paperback / softback. Condition: New. New copy - Usually dispatched within 4 working days.
Condition: Like New. Most items will be dispatched the same or the next working day. An apparently unread copy in perfect condition. Dust cover is intact with no nicks or tears. Spine has no signs of creasing. Pages are clean and not marred by notes or folds of any kind.
Condition: New. 2017. Reprint. Paperback. . . . . .
Condition: New. 2017. Reprint. Paperback. . . . . . Books ship from the US and Ireland.
Condition: NEW.
Condition: 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.
Language: English
Published by MIT Press Ltd, Cambridge, Mass., 2017
ISBN 10: 0262534681 ISBN 13: 9780262534680
Seller: CitiRetail, Stevenage, United Kingdom
Paperback. Condition: 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.