Centre for Robotics and Neural Systems, School of Computing, Electronics and Mathematics, University of Plymouth, Plymouth, England, United Kingdom.
Department of Electrical and Computer Engineering, Institute for Cognitive Systems, Technical University of Munich, Munich, Germany.
PLoS One. 2020 Jan 29;15(1):e0228083. doi: 10.1371/journal.pone.0228083. eCollection 2020.
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.
在日常生活中,我们经常会进行由多个相连动作组成的复杂动作,例如伸手去拿一杯咖啡并将其送到嘴边饮用。最近的研究强调了这种相连动作在形成独立运动记忆中的作用,影响学习速度和适应相反力场的能力。在这些研究中,不同的前置动作(lead-in movements)允许在前一个动作的基础上适应相反的动力学。纯粹的视觉或纯粹的被动前置运动表现出不同的角运动记忆泛化功能,因为前置运动被修改了,这表明了不同的神经表示。然而,我们目前还不了解不同的运动运动学(距离、速度或持续时间)如何影响这个回忆过程和独立运动记忆的形成。在这里,我们研究了被动和视觉前置运动的这种运动学泛化,以探究它们的个体特征。在参与者使用训练前置运动适应相反的力场后,在随机试验中修改前置运动学,以测试泛化。对于视觉和被动两种模式,回忆性补偿都对前置持续时间和峰值速度敏感,远离训练条件。然而,随着前置距离的增加,力的减少很少。有趣的是,在前置运动模式之间也观察到了不对称的转移,从被动到视觉有部分转移,但反之则很少。总体而言,与视觉前置相比,被动前置的这些调谐效应更强,这表明这些感觉输入在调节运动记忆方面存在差异。我们的结果表明,这些效应是状态估计的结果,不同模式之间的差异反映了它们由于不同的反馈延迟而产生的不同程度的感觉不确定性。