SELF-ORGANIZATION OF COORDINATIVE MOVEMENT PATTERNS
SELF-ORGANIZATION OF COORDINATIVE MOVEMENT PATTERNS
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DOI：
10.1016/0167-9457(88)90003-6
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发表时间：
1988-03-01
影响因子：
2.1
通讯作者：
SCHONER, G
中科院分区：
文献类型：
--
作者：
KELSO, JAS;SCHONER, G
我们提出了一种严格的操作方法——理论工具和实验数据一起开发——来解决理解运动模式协调的问题。实证方面以协同学为指导，协同学是开放系统中自发模式形成的理论。根据我们的理论策略的概述，回顾了最近的实验结果，证明了该方法的有效性。从这些研究中，有可能建立运动行为中的有序转变与自然界中其他非平衡相变之间的联系。行为模式（对应于集体变量的低维吸引子）及其动态被证明是通过各个组件之间的合作耦合以纯粹自组织的方式产生的。该步骤已通过分析和计算来实现。从目前的研究中获得的见解可以以七个理论命题的形式进行概括，这些理论命题旨在表征复杂生物系统中的模式形成、稳定性和变化。反过来，出现了许多新的研究方向，包括环境运动系统的集体动力学、学习和多肢协调的研究。
We present a strictly operational approach-in which theoretical tools and experimental data are developed together-to the problem of understanding the coordination of movement patterns. The empirical aspects are guided by synergetics, a theory of spontaneous pattern formation in open systems. Following an outline of our theoretical strategy, recent experimental results are reviewed that demonstrate the validity of the approach. From these studies, it is possible to establish the linkage between order-order transitions in movement behavior and other nonequilibrium phase transitions in nature. Behavioral patterns (corresponding to low-dimensional attractors for collective variables) and their dynamics are shown to arise in a purely self-organized fashion from cooperative coupling among individual components. This step has been implemented analytically and computationally. The insights gained from the present research allow a generalization in the form of seven theoretical propositions that aim at characterizing pattern formation, stability and change in complex, biological systems. In turn, a number of new research directions emerge, including studies of the collective dynamics of the environment-movement system, learning, and multiple-limb coordination.