Provides different 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. This book demonstrates how neural fields can be applied for the analysis of perceptual phenomena and its underlying neural processes. Series: The Springer International Series in Engineering and Computer Science. Num Pages: 276 pages, biography. BIC Classification: UYQN. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 234 x 156 x 17. Weight in Grams: 576. . 1998. 1999th Edition. hardcover. . . . . Books ship from the US and Ireland.

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T�tulo: Dynamic Neural Field Theory for Motion Perception
Editor: Springer
Fecha de publicaci�n: 1998
Idioma: Ingl�s
ISBN 10: 0792383001
ISBN 13: 9780792383000
Encuadernaci�n: Encuadernaci�n de tapa dura
Estado: New

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Sinopsis

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.

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