Abstract Our ability to detect temporal asynchrony is sometimes an obstacle to multisensory integration. A seamless multisensory experience occurs when the temporal misalignment of two signals is within the allowance for subjective synchrony, referred to as the temporal window of integration (TWI). The TWI is most commonly measured with the temporal-order judgment task or the synchrony judgment task, which are single-presentation methods that confound sensory and decisional determinants of performance. Thus, data collected with these tasks are unsuitable for elucidating whether changes in the TWI observed in studies on prior entry or temporal recalibration have a sensory or a decisional origin. The indeterminacy can be resolved with a dual-presentation timing (2PT) task in which observers report their judgment with a ternary response format: whether the first or the second presentation was more synchronous or else that they were equally synchronous. Yet, the analysis of 2PT data suffers from the lack of a process model that captures sensory, decisional, and response components of performance via separate parameters whose estimation can identify the cause of prior entry or recalibration effects. The main goal of this paper is to present and validate such a model. Simulation studies reveal that model parameters are identifiable and not confounded under the ternary response format. The empirical validity of the model is demonstrated by showing its capability to account for published data collected with the 2PT task under binary response formats and for new data collected with the ternary format. The new data relate to a study on differences in speed of processing between magnocellular and parvocellular visual pathways, and our analysis revealed that low-spatial-frequency information is processed 20–30 ms faster than high-spatial-frequency information. Measures of the TWI and the point of subjective synchrony are presented for their estimation from ternary 2PT data. Software in matlab and R to fit the model to ternary 2PT data is made available with this paper.

中文翻译：

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使用双重呈现计时任务评估多感官整合和估计处理速度：模型和数据

摘要我们检测时间异步的能力有时是多感官整合的障碍。当两个信号的时间错位在主观同步允许范围内时，就会出现无缝的多感官体验，这被称为积分时间窗口 (TWI)。TWI 最常使用时间顺序判断任务或同步判断任务来衡量，它们是单一呈现方法，混淆了性能的感官和决策决定因素。因此，通过这些任务收集的数据不适合阐明在先前进入或时间重新校准的研究中观察到的 TWI 变化是否具有感官或决策起源。不确定性可以通过双重呈现时间 (2PT) 任务来解决，在该任务中，观察者以三元响应格式报告他们的判断：第一个或第二个演示文稿是否更同步，或者它们同样同步。然而，2PT 数据的分析缺乏一个过程模型，该模型通过单独的参数捕获性能的感官、决策和响应组件，这些参数的估计可以识别先前输入或重新校准影响的原因。本文的主要目标是展示和验证这样的模型。模拟研究表明，模型参数在三元响应格式下是可识别的且不会混淆。该模型的实证有效性通过显示其能够解释在二元响应格式下使用 2PT 任务收集的已发布数据以及使用三元格式收集的新数据的能力来证明。新数据与关于大细胞和小细胞视觉通路之间处理速度差异的研究有关，我们的分析表明，处理低空间频率信息比处理高空间频率信息快 20-30 毫秒。提出了 TWI 的测量值和主观同步点，用于根据三元 2PT 数据进行估计。本文提供了用于将模型拟合到三元 2PT 数据的 matlab 和 R 软件。