Synergetic synchronized oscillation by distributed neural integrators to induce dynamic equilibrium in energy dissipation systems.
Synergetic synchronized oscillation by distributed neural integrators to induce dynamic equilibrium in energy dissipation systems.
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DOI：
10.1038/s41598-022-21261-w
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发表时间：
2022-10-13
影响因子：
4.6
通讯作者：
中科院分区：
文献类型：
--
作者：
同步现象是许多自然力学系统的共同现象。人类和动物的关节摩擦和阻尼与能量耗散有关。耦合振荡器模型通常用于管理多个关节扭矩生成，以在能量耗散系统中形成极限环。当选择振荡器模型时，耦合项设计以及频率和相位设置成为问题。对于未知的动力学系统，需要预先确定振子之间的相对耦合关系，这是一个相当具有挑战性的问题。提出了一种简单的分布式神经积分方法，在不使用耦合振子的情况下，诱导未知能量耗散系统的极限环。结果表明，协同同步振荡可以产生适应不同物理环境的振荡。在动力学信息未知的情况下，寻找神经元输入的能量平衡注入以形成动力学平衡并不是一个简单的问题。该方法实现了自组织模式生成，诱导不同力学系统的动态平衡。在不使用显式相位或频率知识的情况下管理振荡。然而，相位，频率和振幅调制出现，形成一个有效的同步极限环。这种类型的分布式神经集成器可以用作调节多关节协调的源，以诱导自然力学系统中的协同振荡。
The synchronization phenomenon is common to many natural mechanical systems. Joint friction and damping in humans and animals are associated with energy dissipation. A coupled oscillator model is conventionally used to manage multiple joint torque generations to form a limit cycle in an energy dissipation system. The coupling term design and the frequency and phase settings become issues when selecting the oscillator model. The relative coupling relationship between oscillators needs to be predefined for unknown dynamics systems, which is quite challenging problem. We present a simple distributed neural integrators method to induce the limit cycle in unknown energy dissipation systems without using a coupled oscillator. The results demonstrate that synergetic synchronized oscillation could be produced that adapts to different physical environments. Finding the balanced energy injection by neural inputs to form dynamic equilibrium is not a trivial problem, when the dynamics information is not priorly known. The proposed method realized self-organized pattern generation to induce the dynamic equilibrium for different mechanical systems. The oscillation was managed without using the explicit phase or frequency knowledge. However, phase, frequency, and amplitude modulation emerged to form an efficient synchronized limit cycle. This type of distributed neural integrator can be used as a source for regulating multi-joint coordination to induce synergetic oscillations in natural mechanical systems.
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影响因子：
4.6
作者：
Oliveira HM;Melo LV
通讯作者：
Melo LV
影响因子：
4
作者：
Righetti, Ludovic;Buchli, Jonas;Ijspeert, Auke Jan
通讯作者：
Ijspeert, Auke Jan
影响因子：
56.9
作者：
DELCOMYN, F
通讯作者：
DELCOMYN, F
DOI：
10.1098/rspa.2001.0888
发表时间：
2002-03-08
影响因子：
3.5
作者：
Bennett, M;Schatz, MF;Wiesenfeld, K
通讯作者：
Wiesenfeld, K
影响因子：
56.9
作者：
SCHONER, G;KELSO, JAS
通讯作者：
KELSO, JAS