Motion Detector Networks for Smooth Pursuit

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运动的单点目标进行的。这种方法是富有成效的，并且已经产生了与该系统运动肢体的生理学一致的优雅模型。然而，在自然场景中，许多物体可以移动，每个物体都有空间结构和特征，可以刺激多个运动检测器。主流模型没有描述如何处理空间分布的运动信号，以提供平稳追击的驱动信号。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滑眼球运动，并了解眼球运动系统在跟踪具有许多铰接组件的复杂运动目标时如何合作。我们的建议利用从视觉心理物理学和眼动生理学领域借来的方法和见解来解决这些问题，为这个问题提供一个互补的、协作的方法。具体目标是：确定处理视觉运动的单元的空间组织，以实现平滑的追求。确定共同的运动处理是否限制了对两个物体的平滑追求和感知。在跟踪移动物体并检查其特征时，确定影响追踪和扫视性能的信号。该结果应适用于正常视力参数的表征，以及视力障碍、斜视和动态眼动控制的诊断和治疗。

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.