The temporal context in bayesian models of interval timing: Recent advances and future directions.
The temporal context in bayesian models of interval timing: Recent advances and future directions.
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DOI：
10.1037/bne0000513
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发表时间：
2022-10
影响因子：
1.9
通讯作者：
Terhune, Devin B.
中科院分区：
文献类型：
--
作者：
Sadibolova, Renata;Terhune, Devin B.
感官知觉、运动控制和认知需要毫秒到秒范围内的可靠计时，这意味着存在高度精确的计时系统。然而，部分由于时间处理受到情境因素的调节，感知时间与物理时间并不同构。时间估计表现出对区间分布平均值的回归（全局背景），并且还受到先前试验（局部背景）的影响。最近的间隔计时贝叶斯模型提供了有关这些观察的重要见解，但关于过去间隔如何影响感知时间的问题仍然存在。在本文中，我们简要概述了间隔计时的贝叶斯模型及其对当前对上下文效应的理解的贡献。然后，我们继续重点介绍健康时序和疾病中贝叶斯证据的精确加权以及时序预测误差的神经生理学和神经化学特征领域的最新进展。我们进一步的目标是引起人们对间隔时间贝叶斯模型当前悬而未决的问题的关注，例如可能性概念化。
Sensory perception, motor control, and cognition necessitate reliable timing in the range of milliseconds to seconds, which implies the existence of a highly accurate timing system. Yet, partly owing to the fact that temporal processing is modulated by contextual factors, perceived time is not isomorphic to physical time. Temporal estimates exhibit regression to the mean of an interval distribution (global context) and are also affected by preceding trials (local context). Recent Bayesian models of interval timing have provided important insights regarding these observations, but questions remain as to how exposure to past intervals shapes perceived time. In this article, we provide a brief overview of Bayesian models of interval timing and their contribution to current understanding of context effects. We then proceed to highlight recent developments in the field concerning precision weighting of Bayesian evidence in both healthy timing and disease and the neurophysiological and neurochemical signatures of timing prediction errors. We further aim to bring attention to current outstanding questions for Bayesian models of interval timing, such as the likelihood conceptualization.
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