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Dynamic Neural Field Theory for Motion Perception (Hardcover, 1999 ed.) Loot Price: R2,801
Discovery Miles 28 010
Repayment Terms: R262 pm x 12*
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Dynamic Neural Field Theory for Motion Perception (Hardcover, 1999 ed.): Martin A. Giese

Dynamic Neural Field Theory for Motion Perception (Hardcover, 1999 ed.)

Martin A. Giese

Series: The Springer International Series in Engineering and Computer Science, 469

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Loot Price R2,801 Discovery Miles 28 010 | Repayment Terms: R262 pm x 12*

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Dynamic Neural Field Theory for Motion Perception provides a new theoretical framework that permits a systematic analysis of the dynamic properties of motion perception. This framework uses dynamic neural fields as a key mathematical concept. The author demonstrates how neural fields can be applied for the analysis of perceptual phenomena and its underlying neural processes. Also, similar principles form a basis for the design of computer vision systems as well as the design of artificially behaving systems. The book discusses in detail the application of this theoretical approach to motion perception and will be of great interest to researchers in vision science, psychophysics, and biological visual systems.

General

Imprint: Springer
Country of origin: Netherlands
Series: The Springer International Series in Engineering and Computer Science, 469
Release date: 2001
First published: 1999
Authors: Martin A. Giese
Dimensions: 235 x 155 x 17mm (L x W x T)
Format: Hardcover
Pages: 257
Edition: 1999 ed.
ISBN-13: 978-0-7923-8300-0
Categories: Books > Computing & IT > Applications of computing > Artificial intelligence > Neural networks
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LSN: 0-7923-8300-1
Barcode: 9780792383000

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