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Dynamical and Coupling Structure of Pulse-Coupled Networks in Maximum Entropy Analysis

机译:最大熵分析中脉冲耦合网络的动力学和耦合结构

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Maximum entropy principle (MEP) analysis with few non-zero effective interactions successfully characterizes the distribution of dynamical states of pulse-coupled networks in many fields, e.g., in neuroscience. To better understand the underlying mechanism, we found a relation between the dynamical structure, i.e., effective interactions in MEP analysis, and the anatomical coupling structure of pulse-coupled networks and it helps to understand how a sparse coupling structure could lead to a sparse coding by effective interactions. This relation quantitatively displays how the dynamical structure is closely related to the anatomical coupling structure.
机译:具有很少非零有效相互作用的最大熵原理(MEP)分析成功地表征了脉冲耦合网络在许多领域(例如在神经科学中)的动态状态分布。为了更好地理解其潜在机制,我们发现了动力学结构(即MEP分析中的有效相互作用)与脉冲耦合网络的解剖耦合结构之间的关系,它有助于理解稀疏耦合结构如何导致稀疏编码通过有效的互动。该关系定量地显示了动力学结构与解剖耦合结构如何紧密相关。

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