Synchronization Patterns in Modular Neuronal Networks: A Case Study of C. elegans
Synchronization Patterns in Modular Neuronal Networks: A Case Study of C. elegans
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DOI：
10.3389/fams.2019.00052
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发表时间：
2019-10-24
影响因子：
1.4
通讯作者：
Hizanidis, Johanne
中科院分区：
文献类型：
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作者：
Pournaki, Armin;Merfort, Leon;Hizanidis, Johanne
我们研究了秀丽线虫连接体的模块化多层拓扑结构中的同步模式和类嵌合体状态。在设计的具有两层的网络的特殊情况下，一层具有电子社区内链接，另一层具有化学社区间链接，已知存在嵌合体状态。针对基于实际连接数据的更具生物性的方法，我们考虑了一个由两个突触(电和化学)层和一个非突触(无线)层组成的网络。通过使用多层-卢万社区检测来分析这种分层网络的结构和性质，我们识别出其节点之间的耦合比与网络的其余部分更强的模块。基于这种拓扑结构，我们研究了耦合Hindmarsh-Rose神经元的动力学。新出现的同步模式使用所有振荡器的值之间的成对欧几里得距离来量化，在每个社区内局部地和整个网络上全局地。我们发现无线耦合对系统的平均相干性有缓和的趋势：对于更强的无线耦合，局部和全局的同步水平都会降低，嵌合体状态是不受欢迎的。通过引入另一种基于节点动态相关性的有意义社区划分方法，我们得到了一个由两个大社区主导的结构。这促进了类嵌合体状态的出现，并允许将相应神经元的动力学与生物神经元功能(如运动活动)联系起来。
We investigate synchronization patterns and chimera-like states in the modular multilayer topology of the connectome of Caenorhabditis elegans. In the special case of a designed network with two layers, one with electrical intra-community links and one with chemical inter-community links, chimera-like states are known to exist. Aiming at a more biological approach based on the actual connectivity data, we consider a network consisting of two synaptic (electrical and chemical) and one extrasynaptic (wireless) layers. Analyzing the structure and properties of this layered network using Multilayer-Louvain community detection, we identify modules whose nodes are more strongly coupled with each other than with the rest of the network. Based on this topology, we study the dynamics of coupled Hindmarsh-Rose neurons. Emerging synchronization patterns are quantified using the pairwise Euclidean distances between the values of all oscillators, locally within each community and globally across the network. We find a tendency of the wireless coupling to moderate the average coherence of the system: for stronger wireless coupling, the levels of synchronization decrease both locally and globally, and chimera-like states are not favored. By introducing an alternative method to de fine meaningful communities based on the dynamical correlations of the nodes, we obtain a structure that is dominated by two large communities. This promotes the emergence of chimera-like states and allows to relate the dynamics of the corresponding neurons to biological neuronal functions such as motor activities.