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Titlebook: Dynamic Neural Field Theory for Motion Perception; Martin A. Giese Book 1999 Springer Science+Business Media New York 1999 algorithms.comp

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發(fā)表于 2025-3-21 19:40:04 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Dynamic Neural Field Theory for Motion Perception
編輯Martin A. Giese
視頻videohttp://file.papertrans.cn/284/283683/283683.mp4
叢書名稱The Springer International Series in Engineering and Computer Science
圖書封面Titlebook: Dynamic Neural Field Theory for Motion Perception;  Martin A. Giese Book 1999 Springer Science+Business Media New York 1999 algorithms.comp
描述.Dynamic Neural Field Theory for Motion Perception.provides a new theoretical framework that permits a systematicanalysis of the dynamic properties of motion perception. .This framework uses dynamic neural fields as a key mathematicalconcept. The author demonstrates how neural fields can be applied forthe analysis of perceptual phenomena and its underlying neuralprocesses. Also, similar principles form a basis for the design ofcomputer vision systems as well as the design of artificially behavingsystems. The book discusses in detail the application of thistheoretical approach to motion perception and will be of greatinterest to researchers in vision science, psychophysics, andbiological visual systems.
出版日期Book 1999
關(guān)鍵詞algorithms; computer vision; perception
版次1
doihttps://doi.org/10.1007/978-1-4615-5581-0
isbn_softcover978-1-4613-7553-1
isbn_ebook978-1-4615-5581-0Series ISSN 0893-3405
issn_series 0893-3405
copyrightSpringer Science+Business Media New York 1999
The information of publication is updating

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Basic principles of the dynamic approach to behaviorhis is an approach for the description and analysis of behavior that has been developed in investigation of motor coordination by KELSO, SCH?NER, HAKEN, and others (e.g. [80, 170, 172], see [101] for a more detailed introduction). The central idea of the dynamic approach is that behavior can be mapp
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Dynamic neural field model for motion perceptionhat are derived from results in the fields of motion vision, dynamic neural networks, and the dynamic approach to behavior (cf. chapter 3). These concepts will play a central role in the following chapters. This chapter first introduces the concepts and explains how they are implemented. In the foll
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Neural field model for the motor planning of eye movementsical concepts are applicable to other psychological phenomena. This chapter reviews a theory for the motor planning of saccadic eye movements by KOPECZ and SCH?NER [113, 112], and illustrates how some central theoretical ideas, that were also underlying the model for motion perception, can be applie
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