论文标题
热力学波动定理控制人类感觉运动学习
Thermodynamic fluctuation theorems govern human sensorimotor learning
论文作者
论文摘要
热力学推理在学习系统研究中的应用具有悠久的传统。最近，已经开发了将完美热力学适应与适应过程相关的新工具。这些结果被称为波动定理，在几种物理情况下进行了实验测试，此外，在广泛的数学条件下，它们已被证明是有效的。因此，尽管尚未实验挑战，但它们也被认为也适用于学习系统。在这里，我们通过测试波动定理在学习系统中的适用性，更具体地说，在人类感觉运动学习中解决这一挑战。特别是，我们将自适应运动轨迹在不断变化的视觉运动旋转任务中与单个参与者的完全适应的稳态行为联系起来。我们发现，我们任务中的人类适应性行为通常与波动定理预测一致，并讨论方法的优点和局限性。
The application of thermodynamic reasoning in the study of learning systems has a long tradition. Recently, new tools relating perfect thermodynamic adaptation to the adaptation process have been developed. These results, known as fluctuation theorems, have been tested experimentally in several physical scenarios and, moreover, they have been shown to be valid under broad mathematical conditions. Hence, although not experimentally challenged yet, they are presumed to apply to learning systems as well. Here we address this challenge by testing the applicability of fluctuation theorems in learning systems, more specifically, in human sensorimotor learning. In particular, we relate adaptive movement trajectories in a changing visuomotor rotation task to fully adapted steady-state behavior of individual participants. We find that human adaptive behavior in our task is generally consistent with fluctuation theorem predictions and discuss the merits and limitations of the approach.
