Dynamic Neural Field Theory for Motion Perception

Dynamic Neural Field Theory for Motion Perception by Martin A. Giese.

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...

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Bibliographic Details
Main Author: Giese, Martin A. (Author)
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: New York, NY : Springer US : Imprint: Springer, 1999.
Edition:1st ed. 1999.
Series:The Springer International Series in Engineering and Computer Science, 469
Springer eBook Collection.
Subjects:
Statistical physics.
Dynamical systems.
Optical data processing.
Neurosciences.
Neuropsychology.
Electronic resources (E-books)
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