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Dynamic Neural Field Theory for Motion Perception (The Springer International Series in Engineering and Computer Science)

Martin A. Giese




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 | #9996146 in Books |  Springer |  1998-10-31 | Original language:English | PDF # 1 |  9.21 x.69 x6.14l,1.27 | File type: PDF | 257 pages

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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 sys...

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