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Focused attention vs. crossmodal signals paradigm: deriving predictions from the time-window-of-integration model

机译:集中注意力与交叉模式信号范式:从时间窗积分模型得出的预测

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摘要

In the crossmodal signals paradigm (CSP) participants are instructed to respond to a set of stimuli from different modalities, presented more or less simultaneously, as soon as a stimulus from any modality has been detected. In the focused attention paradigm (FAP), on the other hand, responses should only be made to a stimulus from a pre-defined target modality and stimuli from non-target modalities should be ignored. Whichever paradigm is being applied, a typical result is that responses tend to be faster to crossmodal stimuli than to unimodal stimuli, a phenomenon often referred to as “crossmodal interaction.” Here, we investigate predictions of the time-window-of-integration (TWIN) modeling framework previously proposed by the authors. It is shown that TWIN makes specific qualitative and quantitative predictions on how the two paradigms differ with respect to the probability of multisensory integration and the amount of response enhancement, including the effect of stimulus intensity (“inverse effectiveness”). Introducing a decision-theoretic framework for TWIN further allows comparing the two paradigms with respect to the predicted optimal time window size and its dependence on the prior probability that the crossmodal stimulus information refers to the same event. In order to test these predictions, experimental studies that systematically compare crossmodal effects under stimulus conditions that are identical except for the CSP-FAP instruction should be performed in the future.
机译:在跨模态信号范式(CSP)中,一旦检测到来自任何模态的刺激,就应指示参与者对一组或多或少同时出现的,来自不同模态的刺激做出响应。另一方面,在集中注意力范式(FAP)中,应仅对来自预定义目标模式的刺激做出响应,而应忽略非目标模式的刺激。无论采用哪种范式,一个典型的结果是对交叉模式刺激的响应往往比对单峰刺激的响应要快,而单峰刺激通常被称为“跨峰交互”。在这里,我们调查作者先前提出的集成时间窗口(TWIN)建模框架的预测。结果表明,TWIN对两种范例在多感官整合的可能性和反应增强的数量(包括刺激强度的影响)方面的差异做出了具体的定性和定量预测。引入针对TWIN的决策理论框架,还可以比较两种范式相对于预测的最佳时间窗口大小及其对交叉模式刺激信息引用同一事件的先验概率的依赖性。为了检验这些预测,将来应该进行实验研究,系统地比较在相同刺激条件下的交叉峰效应,除了CSP-FAP指令。

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