OFFRE LISEUSES
Une liseuse achetée = une housse offerte* jusqu'au 21 juin
Principles of Neural Design
Par : ,Formats :
Disponible dans votre compte client Decitre ou Furet du Nord dès validation de votre commande. Le format ePub protégé est :
- Compatible avec une lecture sur My Vivlio (smartphone, tablette, ordinateur)
- Compatible avec une lecture sur liseuses Vivlio
- Pour les liseuses autres que Vivlio, vous devez utiliser le logiciel Adobe Digital Edition. Non compatible avec la lecture sur les liseuses Kindle, Remarkable et Sony
- Non compatible avec un achat hors France métropolitaine
, qui est-ce ?Notre partenaire de plateforme de lecture numérique où vous retrouverez l'ensemble de vos ebooks gratuitement
Pour en savoir plus sur nos ebooks, consultez notre aide en ligne ici
C'est si simple ! Lisez votre ebook avec l'app Vivlio sur votre tablette, mobile ou ordinateur :
- Nombre de pages568
- FormatePub
- ISBN978-0-262-32732-9
- EAN9780262327329
- Date de parution12/06/2015
- Protection num.Adobe DRM
- Taille20 Mo
- Infos supplémentairesepub
- ÉditeurThe MIT Press
Résumé
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.
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.
