Moving in time: Bayesian causal inference explains movement coordination to auditory beats.
Moving in time: Bayesian causal inference explains movement coordination to auditory beats.
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DOI：
10.1098/rspb.2014.0751
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发表时间：
2014-07-07
期刊：
影响因子：
--
通讯作者：
Welchman AE
中科院分区：
文献类型：
--
作者：
Elliott MT;Wing AM;Welchman AE
许多日常技能动作依赖于与嵌入在复杂听觉流中的信号一起及时移动（例如音乐表演，跳舞或简单地进行对话）。这种行为显然是毫不费力的;然而，人类如何结合联合收割机听觉信号来支持运动产生和协调尚不清楚。在这里，我们测试参与者如何同步他们的动作时，有潜在的冲突的听觉目标，以指导他们的行动。参与者用两个同时呈现的节拍器敲击他们的手指，节拍器的克里思相同，但相位和时间规律不同。因此，同步取决于将两个时间线索整合到单一事件估计中，或者将这些线索视为独立的，从而选择一个信号。我们表明，贝叶斯推理过程解释的情况下，参与者选择整合或分离信号，并预测电机定时错误。这种因果推理过程的模拟表明，该模型提供了一个更好的描述的数据比其他合理的模型。我们的研究结果表明，人类利用贝叶斯推理过程来控制运动的时间在听觉信号的起源需要解决的情况下。
Many everyday skilled actions depend on moving in time with signals that are embedded in complex auditory streams (e.g. musical performance, dancing or simply holding a conversation). Such behaviour is apparently effortless; however, it is not known how humans combine auditory signals to support movement production and coordination. Here, we test how participants synchronize their movements when there are potentially conflicting auditory targets to guide their actions. Participants tapped their fingers in time with two simultaneously presented metronomes of equal tempo, but differing in phase and temporal regularity. Synchronization therefore depended on integrating the two timing cues into a single-event estimate or treating the cues as independent and thereby selecting one signal over the other. We show that a Bayesian inference process explains the situations in which participants choose to integrate or separate signals, and predicts motor timing errors. Simulations of this causal inference process demonstrate that this model provides a better description of the data than other plausible models. Our findings suggest that humans exploit a Bayesian inference process to control movement timing in situations where the origin of auditory signals needs to be resolved.
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DOI：
10.1098/rspb.2006.3578
发表时间：
2006-09-07
期刊：
Proceedings. Biological sciences
影响因子：
--
作者：
Roach NW;Heron J;McGraw PV
通讯作者：
McGraw PV
影响因子：
2.9
作者：
Sato, Yoshiyuki;Toyoizumi, Taro;Aihara, Kazuyuki
通讯作者：
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影响因子：
1.8
作者：
Knill, DC;Saunders, JA
通讯作者：
Saunders, JA
影响因子：
9.2
作者：
Alais, D;Burr, D
通讯作者：
Burr, D
影响因子：
2
作者：
Elliott, Mark T.;Wing, Alan M.;Welchman, Andrew E.
通讯作者：
Welchman, Andrew E.