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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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 | #10662869 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...

You can specify the type of files you want, for your gadget.Dynamic Neural Field Theory for Motion Perception (The Springer International Series in Engineering and Computer Science)   |  Martin A. Giese.Not only was the story interesting, engaging and relatable, it also teaches lessons.

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