a Institute of Cognitive Science , University of Colorado Boulder , Boulder , CO , USA.
b NCCR Affective Sciences , University of Geneva , Geneva , Switzerland.
Soc Neurosci. 2019 Feb;14(1):1-9. doi: 10.1080/17470919.2017.1400463. Epub 2017 Nov 8.
Spontaneous interpersonal synchronization of rhythmic behavior such as gait or hand clapping is a ubiquitous phenomenon in human interactions, and is potentially important for social relationships and action understanding. Although several authors have suggested a role of the mirror neuron system in interpersonal coupling, the underlying brain mechanisms are not well understood. Here we argue that more general theories of neural computations, namely predictive coding and the Free Energy Principle, could explain interpersonal coordination dynamics. Each brain minimizes coding costs by reducing the mismatch between the representations of observed and own motor behavior. Continuous mutual prediction and alignment result in an overall minimization of free energy, thus forming a stable attractor state.
自发性人际节奏行为同步，如步态或拍手，是人类互动中普遍存在的现象，对于社会关系和动作理解可能很重要。尽管有几位作者提出了镜像神经元系统在人际耦合中的作用，但大脑的潜在机制尚不清楚。在这里，我们认为更一般的神经计算理论，即预测编码和自由能原理，可以解释人际协调动力学。每个大脑通过减少观察到的和自己的运动行为的表示之间的不匹配来最小化编码成本。连续的相互预测和对齐导致自由能的总体最小化，从而形成稳定的吸引子状态。
