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Dynamic Neural Field Theory for Motion Perception
     

Dynamic Neural Field Theory for Motion Perception

by Martin A. Giese
 
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

Overview

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.

Product Details

ISBN-13:
9781461375531
Publisher:
Springer US
Publication date:
04/30/2013
Series:
Springer International Series in Engineering and Computer Science , #469
Edition description:
Softcover reprint of the original 1st ed. 1999
Pages:
257
Product dimensions:
6.10(w) x 9.25(h) x 0.02(d)

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