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Illusory motion reveals velocity matching not foveation drives smooth pursuit of large objects

机译:虚幻的运动揭示了速度匹配而不是偏心推动了对大物体的平稳跟踪

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摘要

When small objects move in a scene, we keep them foveated with smooth pursuit eye movements. Although large objects such as people and animals are common, it is nonetheless unknown how we pursue them since they cannot be foveated. It might be that the brain calculates an object's centroid, and then centers the eyes on it during pursuit as a foveation mechanism might. Alternatively, the brain merely matches the velocity by motion integration. We test these alternatives with an illusory motion stimulus that translates at a speed different from its retinal motion. The stimulus was a Gabor array that translated at a fixed velocity, with component Gabors that drifted with motion consistent or inconsistent with the translation. Velocity matching predicts different pursuit behaviors across drift conditions, while centroid matching predicts no difference. We also tested whether pursuit can segregate and ignore irrelevant local drifts when motion and centroid information are consistent by surrounding the Gabors with solid frames. Finally, observers judged the global translational speed of the Gabors to determine whether smooth pursuit and motion perception share mechanisms. We found that consistent Gabor motion enhanced pursuit gain while inconsistent, opposite motion diminished it, drawing the eyes away from the center of the stimulus and supporting a motion-based pursuit drive. Catch-up saccades tended to counter the position offset, directing the eyes opposite to the deviation caused by the pursuit gain change. Surrounding the Gabors with visible frames canceled both the gain increase and the compensatory saccades. Perceived speed was modulated analogous to pursuit gain. The results suggest that smooth pursuit of large stimuli depends on the magnitude of integrated retinal motion information, not its retinal location, and that the position system might be unnecessary for generating smooth velocity to large pursuit targets.
机译:当小物体在场景中移动时,我们会以平稳的追逐眼球运动保持它们的前进状态。尽管大型物体(例如人和动物)很常见,但由于它们无法被人追捕,因此我们如何追求它们仍是未知的。可能是大脑计算了对象的质心,然后在追赶过程中将眼睛视在它的中心,就像是一个偏心机制一样。或者,大脑仅通过运动积分来匹配速度。我们用错觉的运动刺激测试了这些替代方法,该运动以不同于其视网膜运动的速度平移。刺激是一个以固定速度平移的Gabor阵列,其中Gabors分量随与平移一致或不一致的运动而漂移。速度匹配预测在漂移条件下的不同追随行为,而质心匹配则预测没有差异。我们还测试了当运动和形心信息一致时,通过用实心框架围绕Gabor,追踪是否可以隔离并忽略无关紧要的局部漂移。最后,观察者判断了Gabors的整体平移速度,以确定平稳的追踪和运动感知是否共享机制。我们发现一致的Gabor运动会增加追踪增益,而不一致的相反运动会降低追踪增益,使眼睛远离刺激中心,并支持基于运动的追踪驱动。追赶扫视趋向于抵消位置偏移,使眼睛与追赶增益变化引起的偏移相对。用可见帧包围Gabors,可以抵消增益的增加和补偿性的扫视。感知速度的调制类似于追赶增益。结果表明,对大刺激的平稳跟踪取决于完整的视网膜运动信息的大小,而不是其视网膜位置,并且对于向大跟踪目标产生平稳速度而言,可能不需要位置系统。

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