標(biāo)題: Titlebook: Dynamic Neural Field Theory for Motion Perception; Martin A. Giese Book 1999 Springer Science+Business Media New York 1999 algorithms.comp [打印本頁] 作者: FAULT 時(shí)間: 2025-3-21 19:40
書目名稱Dynamic Neural Field Theory for Motion Perception影響因子(影響力)
書目名稱Dynamic Neural Field Theory for Motion Perception影響因子(影響力)學(xué)科排名
書目名稱Dynamic Neural Field Theory for Motion Perception網(wǎng)絡(luò)公開度
書目名稱Dynamic Neural Field Theory for Motion Perception網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Dynamic Neural Field Theory for Motion Perception被引頻次
書目名稱Dynamic Neural Field Theory for Motion Perception被引頻次學(xué)科排名
書目名稱Dynamic Neural Field Theory for Motion Perception年度引用
書目名稱Dynamic Neural Field Theory for Motion Perception年度引用學(xué)科排名
書目名稱Dynamic Neural Field Theory for Motion Perception讀者反饋
書目名稱Dynamic Neural Field Theory for Motion Perception讀者反饋學(xué)科排名
作者: 豪華 時(shí)間: 2025-3-21 22:08 作者: filial 時(shí)間: 2025-3-22 02:52
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作者: Instantaneous 時(shí)間: 2025-3-22 04:47 作者: Interregnum 時(shí)間: 2025-3-22 12:21
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作者: 蔓藤圖飾 時(shí)間: 2025-3-22 14:47 作者: 蔓藤圖飾 時(shí)間: 2025-3-22 20:50 作者: Infinitesimal 時(shí)間: 2025-3-23 00:00 作者: Allege 時(shí)間: 2025-3-23 03:27 作者: 紋章 時(shí)間: 2025-3-23 09:35
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作者: olfction 時(shí)間: 2025-3-23 12:24 作者: bile648 時(shí)間: 2025-3-23 14:39 作者: 蒼白 時(shí)間: 2025-3-23 22:02 作者: idiopathic 時(shí)間: 2025-3-24 02:00 作者: ARIA 時(shí)間: 2025-3-24 03:50
Dynamic Neural Field Theory for Motion Perception978-1-4615-5581-0Series ISSN 0893-3405 作者: anagen 時(shí)間: 2025-3-24 06:49 作者: Self-Help-Group 時(shí)間: 2025-3-24 13:45 作者: 商店街 時(shí)間: 2025-3-24 15:20
O,is book. On the other hand it is intended as a short tutorial introduction into some basic psychological results on motion perception. Motion perception has been a topic of psychological research since more than 100 years. Just within the last thirty years the emerging field of machine vision has be作者: nephritis 時(shí)間: 2025-3-24 20:24 作者: 山間窄路 時(shí)間: 2025-3-25 00:47 作者: Inexorable 時(shí)間: 2025-3-25 04:18 作者: 名字 時(shí)間: 2025-3-25 10:18 作者: 跑過 時(shí)間: 2025-3-25 11:47 作者: 去掉 時(shí)間: 2025-3-25 16:27 作者: gerrymander 時(shí)間: 2025-3-25 21:11 作者: 原告 時(shí)間: 2025-3-26 00:57 作者: 招惹 時(shí)間: 2025-3-26 05:10 作者: 水獺 時(shí)間: 2025-3-26 12:27 作者: dry-eye 時(shí)間: 2025-3-26 13:57
0893-3405 perties 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 作者: Brittle 時(shí)間: 2025-3-26 18:03 作者: mendacity 時(shí)間: 2025-3-26 22:37 作者: 淡紫色花 時(shí)間: 2025-3-27 02:52
R, and tested with a variety of apparent motion stimuli. This non-simplified neural field model permits also a more detailed evaluation of the basic concepts perceptive space, specification by the stimulus, and cooperativity, than was possible in the context of the motion quartet.作者: stratum-corneum 時(shí)間: 2025-3-27 06:27
P,to multiple behaviors. In this way, they account for the organization of multiple behavioral patterns in biological organisms. This chapter gives an introduction in some fundamental concepts of the dynamic approach that are relevant as basis for the neural field theory. The presentation follows the basic ideas in SCH?NER and KELSO [172].作者: 現(xiàn)實(shí) 時(shí)間: 2025-3-27 13:12
S,ional methods it is crucial that a . can be derived for homogeneous neural fields with symmetric interaction function. To give the reader some intuitive ideas about the meaning of Lyapunov functionals first a short introduction in Lyapunov functions for the discrete neural network dynamics is given.作者: 絕緣 時(shí)間: 2025-3-27 13:47
S,implemented by B. CUBALESKA [33, 61] are described. The algorithm is illustrated with data on the representation of position in area 17 of the cat that has been measured by JANCKE, AKHAVAN and collaborators [98].作者: 褲子 時(shí)間: 2025-3-27 18:07 作者: TRACE 時(shí)間: 2025-3-27 22:42 作者: 發(fā)源 時(shí)間: 2025-3-28 03:50 作者: 嘮叨 時(shí)間: 2025-3-28 08:30 作者: 獨(dú)特性 時(shí)間: 2025-3-28 11:48
Neural field model for the motor planning of eye movementspublications, and to the review article [114] with respect to these issues. The aim of this chapter is rather to illustrate some central aspects of the theory by KOPECZ and SCH?NER on an intuitive level.作者: farewell 時(shí)間: 2025-3-28 17:28
Necessity of the concepts: Model for the perceptual organization of the motion quartet. This model is suitable for a detailed quantitative comparison between the theory and experimental data. This permits an evaluation of the ”necessity” of the central theoretical concepts in sense that was defined in chapter 5.作者: GAVEL 時(shí)間: 2025-3-28 22:37
Technical applications of neural fields planning of an autonomous robot. The second example demonstrates how neural fields can be used to integrate multiple vision modules. The presented system constructs a depth map by an integration of motion and disparity information. Finally, some ideas for a computationally efficient implementation of neural fields are discussed.作者: 殖民地 時(shí)間: 2025-3-29 01:28 作者: CIS 時(shí)間: 2025-3-29 05:54 作者: 煩躁的女人 時(shí)間: 2025-3-29 08:17
Book 1999 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 sys作者: 肉身 時(shí)間: 2025-3-29 14:43
