Neural dynamics of saccadic and smooth pursuit eye movement coordination during visual tracking of unpredictably moving targets

固定(群体遗传学) 跟踪(教育) 运动(音乐) 弹道 人工神经网络 动力学(音乐)
作者
Stephen Grossberg,Krishna Srihasam,Daniel Bullock
出处
期刊:Neural Networks [Elsevier]
卷期号:27: 1-20 被引量:24
标识
DOI:10.1016/j.neunet.2011.10.011
摘要

How does the brain coordinate saccadic and smooth pursuit eye movements to track objects that move in unpredictable directions and speeds? Saccadic eye movements rapidly foveate peripheral visual or auditory targets, and smooth pursuit eye movements keep the fovea pointed toward an attended moving target. Analyses of tracking data in monkeys and humans reveal systematic deviations from predictions of the simplest model of saccade-pursuit interactions, which would use no interactions other than common target selection and recruitment of shared motoneurons. Instead, saccadic and smooth pursuit movements cooperate to cancel errors of gaze position and velocity, and thus to maximize target visibility through time. How are these two systems coordinated to promote visual localization and identification of moving targets? How are saccades calibrated to correctly foveate a target despite its continued motion during the saccade? The neural model proposed here answers these questions. Modeled interactions encompass motion processing areas MT, MST, FPA, DLPN and NRTP; saccade planning and execution areas FEF, LIP, and SC; the saccadic generator in the brain stem; and the cerebellum. Simulations illustrate the model's ability to functionally explain and quantitatively simulate anatomical, neurophysiological and behavioral data about coordinated saccade-pursuit tracking.
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