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）：大多数关于平滑追踪系统的研究都是使用孤立移动的单点目标进行的。这种方法是富有成效的，并产生了优雅的模型，与该系统的运动肢体的生理学是一致的。然而，在自然场景中，许多对象可以移动，每个对象都可以具有刺激多个运动检测器的空间结构和特征。现有的模型没有描述如何处理空间分布的运动信号以提供用于平滑追踪的驱动信号。该项目的长期目标是确定如何使用视觉运动信息来引导自然场景中的自愿平滑眼球运动，并了解眼球运动系统在跟踪具有许多关节组件的复杂移动目标时如何合作。我们的建议解决这些问题，使用的方法和洞察力从视觉心理物理学和眼科生理学领域借用，提供一个互补的，协作的方法来解决这个问题。具体目标是：确定处理视觉运动的单位的空间组织，以实现平稳的追求。确定普通运动处理是否限制了对两个对象的平滑追踪和感知。 确定信号影响的追求和扫视性能，同时遵循一个移动的对象，并检查其功能。结果应适用于正常视力的参数的表征，并诊断和治疗视力障碍，斜视和动态眼动控制。