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首页> 外文期刊>Journal of vision >Parameter recovery for the time-window-of-integration (TWIN) model of multisensory integration in focused attention
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Parameter recovery for the time-window-of-integration (TWIN) model of multisensory integration in focused attention

机译:多传感器集成的时间窗积分(TWIN)模型的参数恢复备受关注

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Abstract Abstract: Abstract?? In multisensory settings such as the focused attention paradigm (FAP), subjects are instructed to respond to stimuli of the target modality only, yet reaction times tend to be shorter if an unattended stimulus is presented within a certain spatiotemporal vicinity of the target. The time window of integration (TWIN) model predicts successfully these observed cross-modal reaction time effects. It proposes that all the initially unimodal information must arrive at a point of integration within a certain time window in order to be integrated and thus to initiate response enhancements like the observed reaction time reductions. Here we conducted a parameter recovery study of the TWIN model for focused attention tasks, with five parameters (the durations of the visual and auditory unimodal and the integrated second stage, the width of the time window, and the effect size). Results show that parameter estimates were highly accurate (unbiased, constant error less than 5 ms) and precise (variable error less than 8 ms) throughout, speaking to a high reliability and criterion validity of the process. Further analyses ensured that the estimation procedure is consistent and sufficiently robust against contamination (faulty integration). It can thus be used to estimate reliably the point of integration and the width of the time window.
机译:摘要摘要:摘要?在诸如集中注意力范式(FAP)之类的多感官环境中,指示对象仅对目标模态的刺激做出响应,但是如果在目标的特定时空附近出现无人看管的刺激,则反应时间往往会更短。积分时间窗口(TWIN)模型成功预测了这些观察到的交叉峰反应时间效应。它提出,所有最初的单峰信息必须在某个时间窗口内到达积分点,以便进行积分,从而启动响应增强,例如观察到的反应时间减少。在这里,我们对TWIN模型的参数恢复研究进行了重点关注任务的研究,其中包括五个参数(视觉和听觉单峰的持续时间以及集成的第二阶段,时间窗口的宽度和效果大小)。结果表明,参数估计在整个过程中都是高度准确的(无偏,恒定误差小于5 ms)和精确的(可变误差小于8 ms),表明该过程具有很高的可靠性和标准有效性。进一步的分析确保了估算程序是一致的,并且对污染(故障积分)具有足够的鲁棒性。因此,它可以用来可靠地估计积分点和时间窗口的宽度。

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