Dynamic Neural Field Theory for Motion Perception - The Springer International Series in Engineering and Computer Science 469 (Paperback)Martin A. Giese (author)
- We can order this
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.
Publisher: Springer-Verlag New York Inc.
Number of pages: 257
Weight: 433 g
Dimensions: 235 x 155 x 14 mm
Edition: Softcover reprint of the original 1st ed. 199
You may also be interested in...
Please sign in to write a review