[论文解读] Emergent togetherness in collaborative dance improvisation: neural and motor synchronization reveal a coupling-decoupling paradox

Yago Emanoel Ramos, Raphael Silva do Rosário+7 more|arXiv (Cornell University)|Jan 7, 2026

Action Observation and Synchronization被引用 0

一句话总结

论文显示，在协同舞蹈即兴创作中，训练提高了脑间神经同步，同时降低了人际运动同步，表明在共同体感来自共享的神经意向性，而非完全相同的运动。

ABSTRACT

Collective improvisation in dance provides a rich natural laboratory for studying emergent coordination in coupled neuro-motor systems. Here, we investigate how training shapes spontaneous synchronization patterns in both movement and brain signals during collaborative performance. Using a dual-recording protocol integrating 3D motion capture and hyperscanning EEG, participants engaged in free, interaction-driven, and rule-based improvisation before and after a program of generative dance, grounded in cellular-automata. Motor behavior was modeled through a time-resolved α-exponent derived from Movement Element Decomposition scaling between mean velocity and displacement, revealing fluctuations in energetic strategies and degrees of freedom. Synchronization events were quantified using Motif Synchronization (biomechanical data) and multilayer Time-Varying Graphs (neural data), enabling the detection of nontrivial lead-lag dependencies beyond zero-lag entrainment. Results indicate that training produced an intriguing dissociation: inter-brain synchronization increased, particularly within the frontal lobe, while interpersonal motor synchrony decreased. This opposite trend suggests that enhanced participatory sense-making fosters neural alignment while simultaneously expanding individual motor explorations, thereby reducing coupling in movement. Our findings position collaborative improvisation as a complex dynamical regime in which togetherness emerges not from identical motor outputs but from shared neural intentionality distributed across multilayer interaction networks, exemplifying the coupling-decoupling paradox, whereby increasing inter-brain synchrony supports the exploration of broader and mutually divergent motor trajectories. These results highlight the nonlinear nature of social coordination, offering new avenues for modeling creative joint action in human systems.

研究动机与目标

• 研究训练如何塑造在协作舞蹈即兴中的自发神经和运动同步。
• 在生成性舞蹈训练项目前后，考察自由、互动驱动和基于规则的即兴之间的差异。

提出的方法

• 双重记录协议，结合3D运动捕捉与脑部高光谱扫描（hyperscanning EEG）。
• 以Movement Element Decomposition缩放的时间分辨α指数对运动行为建模。
• 使用Biomechanical数据的Motif Synchronization和神经数据的多层Time-Varying Graphs进行同步量化。
• 分析聚焦于超越零滞后同步的领先—滞后依赖性。

实验结果

研究问题

• RQ1 训练如何影响协作即兴中的脑间同步？
• RQ2 训练如何影响协作即兴中的人际运动同步？
• RQ3 神经耦合和运动耦合的变化对联合行动中“在一起感”的本质意味着什么？

主要发现

• 训练提高脑间同步，尤其在额前叶。
• 训练后人际运动同步降低。
• 参与式意义构建增强与神经对齐及个体运动探索扩展相吻合。
• 共处感来自分布式神经意向性，而非完全相同的运动输出。
• 结果揭示了耦合-解耦悖论：神经耦合与运动耦合出现分歧。