论文标题
具有内部反馈和扫视速度跟踪的随机最佳控制模型
A Stochastic Optimal Control Model with Internal Feedback and Velocity Tracking for Saccades
论文作者
论文摘要
本文介绍了具有速度跟踪的随机最佳控制模型和用于Saccadic眼动的内部反馈。来自上丘的神经生理研究的最新证据表明，对扫视速度的扫视产生系统有动态输入，而不仅仅是扫视幅度和方向。新证据必须测试扫视控制是否可以使用所需的速度输入，这是提议的速度跟踪模型的基础。使用健康人类受试者产生的扫视的行为数据验证该模型。它产生了对不同幅度的水平扫视轨迹，并预测了垂直和倾斜的扫视行为。本文使用基于速度的控制的替代解释在最佳控制框架中介绍了Saccadic系统的第一个模型，这与文献中可用的基于端点的主要模型相反。
A stochastic optimal control based model with velocity tracking and internal feedback for saccadic eye movements is presented in this paper. Recent evidence from neurophysiological studies of superior colliculus suggests the presence of a dynamic input to the saccade generation system that encodes saccade velocity, rather than just the saccade amplitude and direction. The new evidence makes it imperative to test if saccade control can use a desired velocity input which is the basis for the proposed velocity tracking model. The model is validated using behavioral data of saccades generated by healthy human subjects. It generates trajectories of horizontal saccades made to different amplitudes as well as predicts vertical and oblique saccade behavior. This paper presents the first-ever model of the saccadic system in an optimal control framework using an alternate interpretation of velocity-based control, contrary to the dominant end-point based models available in the literature.
