By Martin A. Giese
This framework makes use of dynamic neural fields as a key mathematical idea. the writer demonstrates how neural fields will be utilized for the research of perceptual phenomena and its underlying neural techniques. additionally, comparable rules shape a foundation for the layout of desktop imaginative and prescient structures in addition to the layout of artificially behaving platforms. The publication discusses intimately the applying of this theoretical method of movement conception and should be of significant curiosity to researchers in imaginative and prescient technology, psychophysics, and organic visible systems.
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Dynamic Neural Field Theory for Motion Perception (The Springer International Series in Engineering and Computer Science) by Martin A. Giese