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<図書>
Dynamic neural field theory for motion perception

責任表示 by Martin A. Giese
シリーズ The Kluwer international series in engineering and computer science ; SECS 469
データ種別 図書
出版情報 Boston : Kluwer Academic Publishers , c1999
本文言語 英語
大きさ xix, 257 p. : ill. ; 25 cm
概要 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 n...ural 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. 続きを見る

所蔵情報



芸工図 2F 工学図書室 548.13/G42 1999
072032199001288

書誌詳細

一般注記 Includes bibliographical references (p. [237]-250) and index
著者標目 *Giese, Martin A.
件 名 LCSH:Neural networks (Computer science)
LCSH:Motion perception (Vision)
分 類 LCC:QA76.87
DC21:006.3/2
書誌ID 1000987437
ISBN 0792383001
NCID BA38840970
巻冊次 ISBN:0792383001
登録日 2009.09.16
更新日 2009.09.16

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