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Principles of neural design

Sterling, Peter, - Personal Name; Laughlin, Simon, - Personal Name;

"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"--MIT CogNet.OCLC-licensed vendor bibliographic record.

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Series Title: -
Call Number: -
Publisher: : The MIT Press., 2015
Collation: 1 online resource (xxiii, 542 pages) :illustrations
Language: English
ISBN/ISSN: 9780262327312
Classification: NONE
Content Type: text
Media Type: computer
Carrier Type: online resource
Edition: -
Subject(s): Neural circuitry.
Brain
Learning.
Specific Detail Info: -
Statement of Responsibility: Peter Sterling and Simon Laughlin.

Other Information

Cataloger: Rudy k
Source: -
Validator: -
Digital Object Identifier (DOI): https://direct.mit.edu/books/monograph/3078/Principles-of-Neural-Design
Journal Volume: -
Journal Issue: -
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Parallel Title: -

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