Dear Hoover,
Could you please post the following announcement?
Thanks,
Martin Giese
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New book available at Kluwer Academic Publishers, Boston
Dynamic Neural Field Theory of Motion Perception
by Martin A. Giese
Ruhr-Universitaet Bochum and
Center for Biological and Computational Learning,
Massachusetts Institute of Technology
Abstract:
"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.
Contents:
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1. Introduction
I. BASIC CONCEPTS
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2. Visual perception of motion
3. Basic principles of the dynamic approach
4. Dynamic neural fields
II. MODEL FOR MOTION PERCEPTION
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5. Dynamic neural field model for motion perception
6. Necessity of the concepts: Model for the motion quartet
7. Sufficiency of the concepts: Field model for 2D-motion perception
8. Relationships: Neural fields and computational algorithms
9. Identification of field models from neurophysiological data
II. OTHER APPLICATIONS OF NEURAL FIELDS
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10. Neural field model for the motor planning of eye movements
11. Technical applications of neural fields
12. Discussion
For further details consult the web site:
http://www.wkap.nl/book.htm/0-7923-8300-1
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Martin Giese
Center for Biological and Computational Learning
Massachusetts Institute of Technology
Cambridge, Massachusetts 02139-4307
USA
email: giese@ai.mit.edu
Tel: +001-617-253 0549 (office)
+001-617-253 0551 (lab secretary)
+001-617-491 5538 (home)
Fax: +001-617-253 2964
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