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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Anbieter: Mahler Books, PFLUGERVILLE, TX, USA
Hardcover. Zustand: Good. 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. Bestandsnummer des Verkäufers 11GA19-288-067
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Buch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 284 pp. Englisch. Bestandsnummer des Verkäufers 9780792383000
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