Description: Dynamic Neural Field Theory for Motion Perception, Paperback by Giese, Martin A., ISBN 1461375533, ISBN-13 9781461375531, Brand New, Free shipping in the US 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. Th 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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Book Title: Dynamic Neural Field Theory for Motion Perception
Number of Pages: Xix, 257 Pages
Language: English
Publication Name: Dynamic Neural Field Theory for Motion Perception
Publisher: Springer
Item Height: 0.2 in
Subject: Image Processing, Life Sciences / Anatomy & Physiology (See Also Life Sciences / Human Anatomy & Physiology), Neural Networks, System Theory, Computer Vision & Pattern Recognition
Publication Year: 2012
Item Weight: 15.3 Oz
Type: Textbook
Item Length: 9.3 in
Author: Martin A. Giese
Subject Area: Computers, Science
Item Width: 6.1 in
Series: The Springer International Series in Engineering and Computer Science Ser.
Format: Trade Paperback
