Dotov Dobromir, Froese Tom
Center for Complexity Science (C3), Universidad Nacional Autónoma de México (UNAM), Mexico; Instituto de Neurobiología (INB), Universidad Nacional Autónoma de México (UNAM), Mexico.
Center for Complexity Science (C3), Universidad Nacional Autónoma de México (UNAM), Mexico; Instituto de Investigaciones en Matemáticas Aplicadas y en Sistemas (IIMAS), Universidad Nacional Autónoma de México (UNAM), Mexico.
Hum Mov Sci. 2018 Oct;61:27-41. doi: 10.1016/j.humov.2018.06.016. Epub 2018 Jul 10.
Tasks encountered in daily living may have instabilities and more dimensions than are sampled by the senses such as when carrying a cup of coffee and only the surface motion and overall momentum are sensed, not the fluid dynamics. Anticipating non-periodic dynamics is difficult but not impossible because mutual coordination allows for chaotic processes to synchronize to each other and become periodic. A chaotic oscillator with random period and amplitude affords being stabilized onto a periodic trajectory by a weak input if the driver incorporates information about the oscillator. We studied synchronization with predictable and unpredictable stimuli where the unpredictable stimuli could be non-interactive or interactive. The latter condition required learning to control a chaotic system. We expected better overall performance with the predictable but more learning and generalization with unpredictable interactive stimuli. Participants practiced an auditory-motor synchronization task by matching their sonified hand movements to sonified tutors: the Non-Interactive Predictable tutor (NI-P) was a sinusoid, the Non-Interactive Unpredictable (NI-U) was a chaotic system, the Interactive Unpredictable (I-U) was the same chaotic system with an added weak input from the participant's movement. Different pre/post-practice stimuli evaluated generalization. Quick improvement was seen in NI-P. Synchronization, dynamic similarity, and causal interaction increased with practice in I-U but not in NI-U. Generalization was seen for few pre-post stimuli in NI-P, none in NI-U, and most stimuli in I-U. Synchronization with novel chaotic dynamics is challenging but mutual interaction enables the behavioral control of such dynamics and the practice of complex motor skills.
日常生活中遇到的任务可能具有不稳定性,且维度比感官所采样的更多,例如端一杯咖啡时,人们只能感知到表面运动和整体动量,而无法感知流体动力学。预测非周期性动态很困难,但并非不可能,因为相互协调能使混沌过程相互同步并变为周期性。如果驱动因素包含有关振荡器的信息,那么具有随机周期和振幅的混沌振荡器可通过微弱输入稳定到周期性轨迹上。我们研究了与可预测和不可预测刺激的同步,其中不可预测刺激可能是非交互式的或交互式的。后一种情况需要学习控制混沌系统。我们预期可预测刺激的整体表现更好,但不可预测交互式刺激的学习和泛化能力更强。参与者通过将他们的手部动作声音与声音指导进行匹配来练习听觉 - 运动同步任务:非交互式可预测指导(NI - P)是一个正弦波,非交互式不可预测指导(NI - U)是一个混沌系统,交互式不可预测指导(I - U)是同一个混沌系统,但添加了来自参与者动作的微弱输入。不同的练习前/后刺激评估了泛化能力。在NI - P中观察到快速改善。在I - U中,同步、动态相似性和因果相互作用随着练习而增加,但在NI - U中没有。在NI - P中,很少有练习前/后刺激出现泛化,在NI - U中没有,而在I - U中大多数刺激出现泛化。与新型混沌动态同步具有挑战性,但相互作用能够实现对这种动态的行为控制以及复杂运动技能的练习。