Principles of Neural Design

Sterlin, Peter und Simon Laughlin:

ISBN 10: 0262028700 / ISBN 13: 9780262028707

Published by Cambridge, MIT Press, 2017

About this Item

XXIII/242 S. Seiten am Anfang unten gering wellig, viele Abbildungen, gut erhalten Sprache: Deutsch Gewicht in Gramm: 550.

Seller Inventory # 38985

Bibliographic Details

• Title: Principles of Neural Design
• Publisher: Cambridge, MIT Press
• Publication Date: 2017
• Language: German
• ISBN 10: 0262028700
• ISBN 13: 9780262028707
• Binding: 8° , Softcover/Paperback
• Weight: 550 grams
• Seller catalogs:
  • Medizin

About this title

Synopsis

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.

About the Author

Peter Sterling is Professor of Neuroscience at the University of Pennsylvania School of Medicine. Simon Laughlin is Professor of Neurobiology in the Department of Zoology at the University of Cambridge and a Fellow of the Royal Society.