Dynamic Neural Field Theory for Motion Perception (Paperback, Softcover reprint of the original 1st ed. 1999)


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.

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Product Description

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.

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Product Details

General

Imprint

Springer-Verlag New York

Country of origin

United States

Series

The Springer International Series in Engineering and Computer Science, 469

Release date

March 2013

Availability

Expected to ship within 10 - 15 working days

First published

1999

Authors

Dimensions

235 x 155 x 14mm (L x W x T)

Format

Paperback

Pages

257

Edition

Softcover reprint of the original 1st ed. 1999

ISBN-13

978-1-4613-7553-1

Barcode

9781461375531

Categories

LSN

1-4613-7553-3



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