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Computational Maps in the Visual Cortex

Computational Maps in the Visual Cortex

Computational Maps in the Visual Cortex
Stock photo: cover may vary

Computational Maps in the Visual Cortex Hardback - 2005

by Choe, Yoonsuck, Sirosh, Joseph, Miikkulainen, Risto, Bednar, James A

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Springer New York. Used - Good. Former library copy. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.
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Details

  • Title Computational Maps in the Visual Cortex
  • Author Choe, Yoonsuck, Sirosh, Joseph, Miikkulainen, Risto, Bednar, James A
  • Binding Hardback
  • Edition U. S. EDITION
  • Condition Used - Good
  • Pages 538
  • Volumes 1
  • Language ENG
  • Publisher Springer New York, ^^ in Stock: we Ship at Once fr. IL USA;
  • Publication date 2005-08-09
  • Illustrated Yes
  • Features Bibliography, Illustrated, Index, Maps, Table of Contents
  • Bookseller's Inventory # 11724934-6
  • ISBN 9780387220246 / 0387220240
  • Weight 2.45 lbs (1.11 kg)
  • Dimensions 9.3 x 6.3 x 1.2 in (23.62 x 16.00 x 3.05 cm)
  • Category Medical / Nursing
  • Library of Congress subjects Visual cortex - Computer simulation
  • Library of Congress Catalogue Number 2004052202
  • Dewey Decimal Code 152.14
  • Quantity available 1

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From the publisher

Biological structures can be seen as collections of special devices coordinated by a matrix of organization. Devices are dif?cult to evolve and are meticulously conserved through the eons. Organization is a ?uid medium capable of rapid adaptation. The brain carries organizational ?uidity to the extreme. In its context, typical devices are ion channels, transmitters and receptors, signaling pathways, whole individual neurons or speci?c circuit patterns. The border line between what is to be called device and what a feat of organization is ?owing, given that in time organized s- systems solidify into devices. In spite of the neurosciences' traditional concentration on devices, their aiming point on the horizon must be to understand the principles by which the nervous system ties vast arrays of internal and external variables into one coherent purposeful functional whole -- to understand the brain's mechanism of organization. For that purpose a crucial methodology is in silico experimentation. Computer simulation is a convenient tool for testing functional ideas, a sharp weapon for d- tinguishing those that work from those that don't. To be sure, many alternatives can only be decided by direct experiment on the substrate, not by modeling. However, if a functional idea can be debunked as ?awed once tried in silico it would be a waste to make it the subject of a decade of experimentation or discussion. The venture of understanding the function and organization of the visual system illustrates this danger.

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