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 ...
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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.
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Add this copy of Dynamic Neural Field Theory for Motion Perception to cart. $51.95, good condition, Sold by Mahler Books rated 5.0 out of 5 stars, ships from Pflugerville, TX, UNITED STATES, published 1998 by Springer.
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Good. 0792383001. This book is in good condition; ex-library with usual stamps and tags. The book has some shelfwear. Inside pages are clean.; The Springer International Series In Engineering And Computer Science; 257 pages.
Add this copy of Dynamic Neural Field Theory for Motion Perception (the to cart. $101.69, good condition, Sold by Bonita rated 4.0 out of 5 stars, ships from Santa Clarita, CA, UNITED STATES, published 1998 by Springer.
