Frequency cluster formation and slow oscillations in neural populations with plasticity
Frequency cluster formation and slow oscillations in neural populations with plasticity
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DOI：
10.1371/journal.pone.0225094
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发表时间：
2019-08
期刊：
影响因子：
3.7
通讯作者：
Vera Röhr;R. Berner;E. Lameu;O. Popovych;S. Yanchuk
中科院分区：
文献类型：
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作者：
Vera Röhr;R. Berner;E. Lameu;O. Popovych;S. Yanchuk
我们报告的现象，频率聚类在网络的霍奇金-赫胥黎神经元与尖峰时间依赖的可塑性。聚类导致神经群体分裂成以不同频率同步的几个组。在这个制度中，平均场的幅度经历低频调制，这可能有助于在局部场电位或脑电图信号的频谱功率在高频率下观察到的神经活动的缓慢振荡的出现的机制。除了这种多集群的数值模拟，我们研究的机制，观察到的现象，使用最简单的情况下，两个集群。特别是，我们提出了一个现象学模型，它描述了两个集群的动态考虑到耦合权重的适应。我们还确定了一套可塑性功能（更新规则），这导致多聚类。
We report the phenomenon of frequency clustering in a network of Hodgkin-Huxley neurons with spike timing-dependent plasticity. The clustering leads to a splitting of a neural population into a few groups synchronized at different frequencies. In this regime, the amplitude of the mean field undergoes low-frequency modulations, which may contribute to the mechanism of the emergence of slow oscillations of neural activity observed in spectral power of local field potentials or electroencephalographic signals at high frequencies. In addition to numerical simulations of such multi-clusters, we investigate the mechanisms of the observed phenomena using the simplest case of two clusters. In particular, we propose a phenomenological model which describes the dynamics of two clusters taking into account the adaptation of coupling weights. We also determine the set of plasticity functions (update rules), which lead to multi-clustering.