Long-Tailed Characteristic of Spiking Pattern Alternation Induced by Log-Normal Excitatory Synaptic Distribution
Long-Tailed Characteristic of Spiking Pattern Alternation Induced by Log-Normal Excitatory Synaptic Distribution
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DOI：
10.1109/tnnls.2020.3015208
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发表时间：
2021-08-01
影响因子：
10.4
通讯作者：
Yamanishi，Teruya
中科院分区：
文献类型：
--
作者：
Nobukawa，Sou;Nishimura，Haruhiko;Yamanishi，Teruya
突触水平的结构连接性研究表明，在大脑皮层的突触连接中，大多数突触的兴奋性突触后电位(EPSP)呈现亚MV值，而少数突触的兴奋性突触后电位([MV])较大。这意味着EPSP的分布符合对数正态分布。在不限制结构连通性的同时，在神经活动中广泛观察到扭曲和长尾分布，例如尖峰速率的出现和同步尖峰种群的大小。许多研究都模拟了这种长尾的EPSP神经活动分布；然而，其原因仍然存在争议。本研究重点研究了皮层网络结构中主要观察到的EPSP长尾分布和突触间联系，从而构建了一个符合这些特征的棘波神经网络。特别地，我们构造了具有兴奋性和抑制性神经元种群的脉冲神经网络的两个耦合模块，其EPSP分布服从对数正态分布。我们评估了不同输入频率和有或没有强突触连接时的放电活动。这些耦合的模块表现出间歇性的模块间交替行为，假设输入频率适中，并存在强大的突触和模块间连接。此外，功率分析、多尺度熵分析和替代数据分析表明，EPSP的长尾分布和模块间连接增加了大时间尺度上的放电活动的复杂性，并诱导了遵循长尾分布的非线性动力学和神经活动。
Studies of structural connectivity at the synaptic level show that in synaptic connections of the cerebral cortex, the excitatory postsynaptic potential (EPSP) in most synapses exhibits sub-mV values, while a small number of synapses exhibit large EPSPs ([mV]). This means that the distribution of EPSP fits a log-normal distribution. While not restricting structural connectivity, skewed and long-tailed distributions have been widely observed in neural activities, such as the occurrences of spiking rates and the size of a synchronously spiking population. Many studies have been modeled this long-tailed EPSP neural activity distribution; however, its causal factors remain controversial. This study focused on the long-tailed EPSP distributions and interlateral synaptic connections primarily observed in the cortical network structures, thereby having constructed a spiking neural network consistent with these features. Especially, we constructed two coupled modules of spiking neural networks with excitatory and inhibitory neural populations with a log-normal EPSP distribution. We evaluated the spiking activities for different input frequencies and with/without strong synaptic connections. These coupled modules exhibited intermittent intermodule-alternative behavior, given moderate input frequency and the existence of strong synaptic and intermodule connections. Moreover, the power analysis, multiscale entropy analysis, and surrogate data analysis revealed that the long-tailed EPSP distribution and intermodule connections enhanced the complexity of spiking activity at large temporal scales and induced nonlinear dynamics and neural activity that followed the long-tailed distribution.