NTT Communication Science Laboratories, Atsugi, Japan.
Institute of Innovative Research, Tokyo Institute of Technology, Yokohama, Japan.
PLoS One. 2020 Sep 18;15(9):e0239471. doi: 10.1371/journal.pone.0239471. eCollection 2020.
Humans can innately track a moving target by anticipating its future position from a brief history of observations. While ballistic trajectories can be readily extrapolated, many natural and artificial systems are governed by more general nonlinear dynamics and, therefore, can produce highly irregular motion. Yet, relatively little is known regarding the behavioral and physiological underpinnings of prediction and tracking in the presence of chaos. Here, we investigated in lab settings whether participants could manually follow the orbit of a paradigmatic chaotic system, the Rössler equations, on the (x,y) plane under different settings of a control parameter, which determined the prominence of transients in the target position. Tracking accuracy was negatively related to the level of unpredictability and folding. Nevertheless, while participants initially reacted to the transients, they gradually learned to anticipate it. This was accompanied by a decrease in muscular co-contraction, alongside enhanced activity in the theta and beta EEG bands for the highest levels of chaoticity. Furthermore, greater phase synchronization of breathing was observed. Taken together, these findings point to the possible ability of the nervous system to implicitly learn topological regularities even in the context of highly irregular motion, reflecting in multiple observables at the physiological level.
人类可以通过从短暂的观察历史中预测目标的未来位置来本能地跟踪移动目标。虽然弹道轨迹可以很容易地外推,但许多自然和人为系统受更一般的非线性动力学控制,因此会产生高度不规则的运动。然而,对于混沌环境下的预测和跟踪的行为和生理基础,我们知之甚少。在这里,我们在实验室环境中研究了参与者是否可以手动跟踪典型混沌系统,即罗瑟尔方程在(x,y)平面上的轨道,控制参数的不同设置决定了目标位置的瞬态的显著程度。跟踪精度与不可预测性和折叠程度呈负相关。然而,尽管参与者最初对瞬态做出反应,但他们逐渐学会了预测它。这伴随着肌肉共同收缩的减少,以及theta 和 beta EEG 波段活动的增强,对于最高水平的混沌。此外,还观察到呼吸的相位同步性增加。总之,这些发现表明神经系统可能具有隐含地学习拓扑规律的能力,即使在高度不规则的运动环境中也是如此,这在生理水平的多个可观察变量中得到了反映。