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Asymmetry in kinematic generalization between visual and passive lead-in movements are consistent with a forward model in the sensorimotor system

机译:视觉和被动引入运动之间的运动概括中的不对称性与传感器系统中的前向模型一致

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In our daily life we often make complex actions comprised of linked movements, such as reaching for a cup of coffee and bringing it to our mouth to drink. Recent work has highlighted the role of such linked movements in the formation of independent motor memories, affecting the learning rate and ability to learn opposing force fields. In these studies, distinct prior movements (lead-in movements) allow adaptation of opposing dynamics on the following movement. Purely visual or purely passive lead-in movements exhibit different angular generalization functions of this motor memory as the lead-in movements are modified, suggesting different neural representations. However, we currently have no understanding of how different movement kinematics (distance, speed or duration) affect this recall process and the formation of independent motor memories. Here we investigate such kinematic generalization for both passive and visual lead-in movements to probe their individual characteristics. After participants adapted to opposing force fields using training lead-in movements, the lead-in kinematics were modified on random trials to test generalization. For both visual and passive modalities, recalled compensation was sensitive to lead-in duration and peak speed, falling off away from the training condition. However, little reduction in force was found with increasing lead-in distance. Interestingly, asymmetric transfer between lead-in movement modalities was also observed, with partial transfer from passive to visual, but very little vice versa. Overall these tuning effects were stronger for passive compared to visual lead-ins demonstrating the difference in these sensory inputs in regulating motor memories. Our results suggest these effects are a consequence of state estimation, with differences across modalities reflecting their different levels of sensory uncertainty arising as a consequence of dissimilar feedback delays.
机译:在我们的日常生活中,我们经常制造由联系动作组成的复杂行动,例如到达一杯咖啡并将其带到我们的嘴里喝。最近的工作突出了这种联系运动在形成独立电动机记忆中的作用,影响了学习率和学习对立力领域的能力。在这些研究中,不同的先前运动(引入运动)允许适应以下运动对抗动态。纯粹的视觉或纯无源引入运动表现出该电动机存储器的不同角度泛化函数,因为改变了引入运动,表明了不同的神经表示。但是,我们目前没有了解如何不同的运动运动学(距离,速度或持续时间)影响该召回过程和独立电动机记忆的形成。在这里,我们研究了被动和视觉铅运动的运动概括,以探测其个体特征。在参与者适用于使用培训铅运动的对立力场之后,在随机试验中改变了引入运动学以测试泛化。对于视觉和被动模式,召回的补偿对铅持续时间和峰值速度敏感,远离训练条件。然而,在增加的引线距离中发现了力量的减少。有趣的是,还观察到引入运动方式之间的不对称转移,部分地从被动到视觉转移,但非常反之亦然。与可视引线相比,总体而言,这些调谐效果更强,与视觉引导效果展示了这些传感器输入中的调节电动机记忆中的差异。我们的结果表明这些效果是国家估计的结果,横跨模态的差异反映了由于不同反馈延误而产生的不同程度的感官不确定性。

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