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Dynamic Neural Field Theory for Motion Perception
Martin A. Giese
€ 127.58
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Description for Dynamic Neural Field Theory for Motion Perception
Paperback. Series: The Springer International Series in Engineering and Computer Science. Num Pages: 276 pages, biography. BIC Classification: JMM; PH; UYQV. Category: (P) Professional & Vocational. Dimension: 234 x 156 x 14. Weight in Grams: 433.
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 ... Read more
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 ... Read more
Product Details
Format
Paperback
Publication date
2012
Publisher
Springer-Verlag New York Inc. United States
Number of pages
276
Condition
New
Series
The Springer International Series in Engineering and Computer Science
Number of Pages
257
Place of Publication
New York, NY, United States
ISBN
9781461375531
SKU
V9781461375531
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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