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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.
Condition: New.
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.
Paperback. Condition: New.
Paperback. Condition: New.
Condition: New. pp. 568.
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Add to basketPaperback. Condition: Brand New. reprint edition. 568 pages. 9.00x6.00x0.93 inches. In Stock.
Condition: New. pp. 568.
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Condition: New. 2017. Reprint. Paperback. . . . . .
Condition: New. 2017. Reprint. Paperback. . . . . . Books ship from the US and Ireland.
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.
Paperback. Condition: New.
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Add to basketHardcover. Condition: Good. Good. Dust Jacket NOT present. CD WILL BE MISSING. . SHIPS FROM MULTIPLE LOCATIONS. book.
Published by The MIT Press, Cambridge, 2015
ISBN 10: 0262028700 ISBN 13: 9780262028707
Hardcover. Condition: Fair. Dust Jacket Condition: Fine. xxiii, 542 p. 24 cm. B&w illustrations. Black hardcover in dustjacket. Ink underlining and marginalia throughout.
Published by The MIT Press, Cambridge, Massachusetts, 2015
Seller: BIBLIOPE by Calvello Books, Oakland, CA, U.S.A.
First Edition
Hardcover. Condition: Near Fine(-). Large octavo in black, color illus jacket; xxiii, 542 pages: illustrations; 24 cm. Scarec in hardcaover. "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."--Publisher's descriptionContents: What engineers know about design. Why an animal needs a brain. Why a bigger brain? How bigger brains are organized. Information processing: from molecules to molecular circuits. Information processing in protein circuits. Design of neurons. How photoreceptors optimize the capture of visual information. The fly lamina: an efficient interface for high-speed vision. Design of neural circuits: recoding analogue signals to pulsatile. Principles of retinal design. Beyond the retina: pathways to perception and action. Principles of efficient wiring. Learning as design/design of learning. About near fine in near fine(-) jacket. Now in archival mylar. Shows very minor signs of exrternal wear. Biinding tight; pages free of markings. First ed., first printing (full number line).