Motion Detector Networks for Smooth Pursuit

用于平稳追踪的运动检测器网络

• 批准号: 7120351
• 负责人: STEPHEN J HEINEN
• 金额: $ 3.52万
• 依托单位: SMITH-KETTLEWELL EYE RESEARCH INSTITUTE
• 依托单位国家: 美国
• 财政年份: 2003
• 资助国家: 美国
• 起止时间: 2003-08-01 至 2007-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7120351
• 关键词: behavior test; behavioral /social science research tag; clinical research; human subject; mathematical model; model design /development; motion perception; neural information processing; saccades; smooth pursuit eye movement; visual tracking

DESCRIPTION (provided by applicant): Most research on the smooth pursuit system has been conducted using a single spot target moving in isolation. This approach has been productive, and has resulted in elegant models that are consistent with the physiology of the motor limb of this system. However, in a natural scene many objects can move, each of which can have spatial structure and features that stimulate multiple motion detectors. Prevailing models do not describe how spatially distributed motion signals are processed to provide the driving signal for smooth pursuit. The long-term goal of this project is to determine how visual motion information is used to guide voluntary smooth eye movements in natural scenes, and to understand how eye movement systems cooperate when tracking complex moving targets with many articulated components. Our proposal addresses these issues using methodology and insight borrowed from the fields of visual psychophysics and oculomotor physiology to provide a complementary, collaborative approach to this problem. Specific aims are to: Determine the spatial organization of units that process visual motion for smooth pursuit. Determine if common motion processing limits smooth pursuit and perception of two objects. Determine signals affecting pursuit and saccadic performance while following a moving object and inspecting its features. The results should be applicable to the characterization of parameters of normal vision, and to the diagnosis and treatment of disorders of vision, strabismus and dynamic eye movement control.

描述（由申请人提供）：大多数关于平滑追击系统的研究都是使用单个点目标进行的。这种方法是有效的，并且产生了与该系统运动四肢生理学一致的优雅模型。但是，在自然场景中，许多物体都可以移动，每个物体都具有刺激多个运动探测器的空间结构和特征。盛行的模型没有描述如何处理空间分布的运动信号，以提供平滑追击的驱动信号。该项目的长期目标是确定如何使用视觉运动信息来指导自然场景中的自愿平稳眼动，并了解眼睛运动系统在跟踪与许多铰接组件的复杂移动目标时如何配合。我们的建议使用从视觉心理物理学和动眼生理学领域借用的方法和洞察力来解决这些问题，以解决此问题的补充，协作方法。具体目的是：确定处理视觉运动以进行平稳追求的单位的空间组织。确定常见运动处理是否限制了两个对象的平滑追求和感知。 在遵循移动对象并检查其功能的同时，确定影响追捕和伴随性能的信号。结果应适用于正常视力参数的表征，以及视力，斜视和动态眼动控制的疾病的诊断和治疗。