Neural Encoding and Representation of Time for Sensorimotor Control and Learning

Neural Encoding and Representation of Time for Sensorimotor Control and Learning
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DOI:
10.1523/jneurosci.1652-20.2020
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发表时间:
2021-02-03
影响因子:
5.3
通讯作者:
Song, Joo-Hyun
Song, Joo-Hyun
中科院分区:
医学1区
文献类型:
--
作者:
Balasubramaniam, Ramesh;Haegens, Saskia;Song, Joo-Hyun

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在真实的世界中感知和产生运动并精确计时的能力对于包括人类在内的动物的生存至关重要。然而,对感觉运动计时的研究很少考虑知觉、动作和认知之间的紧密联系。在这篇综述中,我们提出了来自人类和非人灵长类动物的行为,计算和神经研究的新证据,表明感觉运动控制和时间处理之间存在关键联系,并描述了关于感知和行动时间的新理论框架。我们首先讨论运动协调和基于时间间隔的定时之间的联系,通过解决运动训练如何发展准确的时空模式的行为和影响时间间隔的感知。然后,我们讨论如何建立任务相关的感觉运动皮层区域的神经流形,以及如何这些流形的几何形状和动态有助于减少时间的变化性的电机专业知识的结果。我们还强调了感觉运动区的神经动力学如何参与基于节拍的计时。这些研究旨在扩展我们对复杂环境中时间如何产生并有助于感知运动行为的理解,以便与其他认知过程无缝互动。
The ability to perceive and produce movements in the real world with precise timing is critical for survival in animals, including humans. However, research on sensorimotor timing has rarely considered the tight interrelation between perception, action, and cognition. In this review, we present new evidence from behavioral, computational, and neural studies in humans and nonhuman primates, suggesting a pivotal link between sensorimotor control and temporal processing, as well as describing new theoretical frameworks regarding timing in perception and action. We first discuss the link between movement coordination and interval-based timing by addressing how motor training develops accurate spatiotemporal patterns in behavior and influences the perception of temporal intervals. We then discuss how motor expertise results from establishing task-relevant neural manifolds in sensorimotor cortical areas and how the geometry and dynamics of these manifolds help reduce timing variability. We also highlight how neural dynamics in sensorimotor areas are involved in beat-based timing. These lines of research aim to extend our understanding of how timing arises from and contributes to perceptual-motor behaviors in complex environments to seamlessly interact with other cognitive processes.