首页> 美国卫生研究院文献>The Journal of Neuroscience >Predicting the Unpredictable: Weighted Averaging of Past Stimulus Timing Facilitates Ocular Pursuit of Randomly Timed Stimuli
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Predicting the Unpredictable: Weighted Averaging of Past Stimulus Timing Facilitates Ocular Pursuit of Randomly Timed Stimuli

机译:预测不可预测:过去刺激时间的加权平均有助于对随机定时刺激的眼动追踪

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摘要

In motor control, prediction of future events is vital for overcoming sensory-motor processing delays and facilitating rapid and accurate responses in a dynamic environment. In human ocular pursuit this is so pervasive that prediction of future target motion cannot easily be eliminated by randomizing stimulus parameters. We investigated the prediction of temporally randomized events during pursuit of alternating constant-velocity (ramp) stimuli in which the timing of direction changes varied unpredictably over a given range. Responses were not reactive; instead, smooth eye velocity began to decelerate in anticipation of each target reversal. In the first experiment, using a continuous-motion stimulus, we found that the time at which this occurred was relatively constant regardless of ramp duration, but increased as mean ramp duration of the range increased. Regression analysis revealed a quantitative association between deceleration timing and the previous two or three ramp durations in a trial, suggesting that recent stimulus history was used to create a running average of anticipatory timing. In the second experiment, we used discrete motion stimuli, with intervening periods of fixation, which allowed both target velocity and reversal timing to be varied, thereby decoupling ramp duration and displacement. This enabled us to confirm that the timing of anticipatory deceleration was based on the history of timing, rather than displacement, within the stimulus. We conclude that this strategy is used to minimize error amid temporal uncertainty, while simultaneously overcoming inherent delays in visuomotor processing.
机译:在运动控制中,对未来事件的预测对于克服感觉运动处理延迟并促进在动态环境中快速准确地响应至关重要。在人类的视觉追求中,这是如此普遍,以至于无法通过随机化刺激参数来轻易地消除对未来目标运动的预测。我们研究了在追求交替恒速(斜坡)刺激过程中时间随机事件的预测,其中方向变化的时间在给定范围内发生了不可预测的变化。反应不是被动的。取而代之的是,在预期每次目标反转时,平滑的眼速度开始降低。在第一个实验中,使用连续运动刺激,我们发现发生此事件的时间相对恒定,与斜坡持续时间无关,但是随着范围的平均斜坡持续时间增加而增加。回归分析显示,在试验中,减速时间与之前的两个或三个斜坡持续时间之间存在定量关联,这表明最近的刺激历史可用于创建预期时间的运行平均值。在第二个实验中,我们使用了离散的运动刺激,并在中间进行了固定,这使得目标速度和反转时间都可以改变,从而使斜坡持续时间与位移脱钩。这使我们能够确定预期减速的时机是基于时机的历史,而不是刺激内的位移。我们得出的结论是,该策略用于最小化时间不确定性中的误差,同时克服视觉运动过程中的固有延迟。

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