An Oscillator Model for Interbrain Synchrony: Slow Interactional Rhythms Entrain Fast Neural Activity

Chen Lam Loh, T. Froese
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引用次数: 2

Abstract

Synchronization is a self-organizing process spanning multiple levels of organization. With advances in brain imaging and hyperscanning technologies, the pervasiveness of interbrain neural synchrony in widely different experimental settings is slowly attracting attention in the field. Despite its prevalence, the underlying mechanisms for interbrain neural synchrony remains largely unexplained, with recent interpretations attempting to approach the problem from the theory of mind, mentalization and shared intentionality perspective. One highlighted issue regarding the difficulty in providing a sound explanation is that neural activities are occurring at orders-of-magnitude faster timescales than the social interaction itself. Using two minimal evolutionary models based on Kuramoto coupled oscillators, we provide an alternative perspective as to how interbrain neural synchronization might occur. Borrowing concepts from recent hypotheses, we argue that 1) embodied engagements form a new autonomous “interaction” system, which 2) through its slower dynamics exert constraints on the faster neural dynamics within the heads. If this is true, the key to understanding interbrain neural synchrony could be through understanding the nature of the interaction itself.
脑间同步的振荡器模型:缓慢的相互作用节奏引发快速的神经活动
同步是一个跨越多个组织级别的自组织过程。随着脑成像和超扫描技术的进步,在广泛不同的实验环境中普遍存在的脑间神经同步现象正逐渐引起该领域的关注。尽管它很普遍,但脑间神经同步的潜在机制在很大程度上仍未得到解释,最近的解释试图从心智理论、心智化和共同意向性的角度来解决这个问题。关于提供合理解释的困难,一个突出的问题是,神经活动发生的时间尺度比社会互动本身要快几个数量级。利用基于Kuramoto耦合振荡器的两个最小进化模型,我们提供了关于脑间神经同步如何发生的另一种视角。借用最近假设的概念,我们认为1)具体化的接触形成了一个新的自主“互动”系统,2)通过其较慢的动态对头部内较快的神经动态施加约束。如果这是真的,理解脑间神经同步的关键可能是通过理解相互作用本身的本质。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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