Understanding SyncMap’s Dynamics and Its Self-organization Properties: A Space-time Analysis
Understanding SyncMap’s Dynamics and Its Self-organization Properties: A Space-time Analysis
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了解 SyncMap 的动力学及其自组织特性：时空分析
DOI：
10.1145/3582099.3582102
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发表时间：
2022
期刊：
影响因子：
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通讯作者：
Danilo Vasconcellos Vargas
中科院分区：
文献类型：
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作者：
Heng Zhang;Danilo Vasconcellos Vargas
人类能够快速识别序列中的模式，通过检测和组块在一起发现的模式，没有监督的信号。最近，受到神经元群如何快速切换行为的启发，SyncMap被提出来解决完全基于自组织的组块问题。其思想是创建动态方程，通过正负反馈回路动态更新来保持平衡状态。当底层结构发生变化时，系统可以快速适应新的结构。虽然SyncMap可以有效地解决组块问题，但其在训练过程中的动态特性仍然有待研究。在这里，我们给出了一个详细的调查SyncMap的动力学，通过使用几个实验来证明SyncMap的行为从空间和时间的角度来看，其中一个问题，导致不精确的结果在原来的工作被确定。然后，我们提出了一个解决方案，称为SyncMap与移动平均（即，SyncMap-MA），在所有实验中均超过了原始工作和基线，表明这里的修改是有效的，可以集成到未来版本的算法中。
Human are shown able to rapidly recognize patterns in sequences by detecting and chunking together the patterns found, without supervised signals. Recently, inspired by how neuron groups act in quickly switching behaviors, SyncMap was proposed to solve chunking problems based solely on self-organization. The idea is to create dynamical equations that maintain an equilibrium state by dynamically updating with positive and negative feedback loops. When the underlying structure changes, the system can quickly adapt to the new structure. Although SyncMap can solve chunking problems effectively, the properties of its dynamics during training, is still underexplored. Here, we give a detailed investigation of SyncMap’s dynamics by using several experiments to demonstrate the behaviors of SyncMap from the perspectives of space and time, in which a problem that causes imprecise results in the original work was identified. We then propose a solution call SyncMap with moving average (i.e., SyncMap-MA), which surpasses the original work and the baselines in all experiments, suggesting that the modification here is effective and can be integrated in the future version of the algorithm.
DOI：
10.1609/aaai.v35i11.17201
发表时间：
2020-06
期刊：
ArXiv
影响因子：
--
作者：
Danilo Vasconcellos Vargas;Toshitake Asabuki
通讯作者：
Danilo Vasconcellos Vargas;Toshitake Asabuki