Dynamic Neural Field Theory for Motion Perception /
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...
| Main Author: | |
|---|---|
| Corporate Author: | |
| Format: | eBook |
| Language: | English |
| Published: |
Boston, MA :
Springer US,
1999.
|
| Series: | International series in engineering and computer science ;
469. |
| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
| Summary: | 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. |
|---|---|
| Item Description: | Electronic resource. |
| Physical Description: | 1 online resource (xix, 257 pages) |
| ISBN: | 9781461555810 (electronic bk.) 1461555817 (electronic bk.) |
| ISSN: | 0893-3405 ; |