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Probabilistic Model of Onset Detection Explains Paradoxes in Human Time Perception

机译:发病率检测的概率模型解释了人类时间知觉中的悖论

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摘要

A very basic computational model is proposed to explain two puzzling findings in the time perception literature. First, spontaneous motor actions are preceded by up to 1–2 s of preparatory activity (Kornhuber and Deecke, ). Yet, subjects are only consciously aware of about a quarter of a second of motor preparation (Libet et al., ). Why are they not aware of the early part of preparation? Second, psychophysical findings (Spence et al., ) support the principle of attention prior entry (Titchener, ), which states that attended stimuli are perceived faster than unattended stimuli. However, electrophysiological studies reported no or little corresponding temporal difference between the neural signals for attended and unattended stimuli (McDonald et al., ; Vibell et al., ). We suggest that the key to understanding these puzzling findings is to think of onset detection in probabilistic terms. The two apparently paradoxical phenomena are naturally predicted by our signal detection theoretic model.
机译:提出了一个非常基本的计算模型来解释时间感知文献中的两个令人困惑的发现。首先,在进行自发运动之前,要进行多达1-2秒的准备活动(Kornhuber和Deecke,)。然而,受试者只是有意识地意识到运动准备的大约四分之一秒(Libet等,)。为什么他们不了解准备工作的早期阶段?其次,心理生理学发现(Spence等人)支持注意力先入原则(Titchener,),该原则指出,与无人参与的刺激相比,参与刺激的状态感知速度更快。然而,电生理学研究报道,对于有人参与和无人参与的刺激,神经信号之间没有或只有很少的时间差异(McDonald等,Vibell等)。我们建议理解这些令人费解的发现的关键是考虑概率性的发病检测。我们的信号检测理论模型自然地预测了这两个明显的自相矛盾现象。

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