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Rapid Desynchronization of an Electrically Coupled Interneuron Network with Sparse Excitatory Synaptic Input

机译:具有稀疏兴奋性突触输入的电耦合中间神经网络的快速去同步

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摘要

Electrical synapses between interneurons contribute to synchronized firing and network oscillations in the brain. However, little is known about how such networks respond to excitatory synaptic input. To investigate this, we studied electrically coupled Golgi cells (GoC) in the cerebellar input layer. We show with immunohistochemistry, electron microscopy, and electrophysiology that Connexin-36 is necessary for functional gap junctions (GJs) between GoC dendrites. In the absence of coincident synaptic input, GoCs synchronize their firing. In contrast, sparse, coincident mossy fiber input triggered a mixture of excitation and inhibition of GoC firing and spike desynchronization. Inhibition is caused by propagation of the spike afterhyperpolarization through GJs. This triggers network desynchronization because heterogeneous coupling to surrounding cells causes spike-phase dispersion. Detailed network models predict that desynchronization is robust, local, and dependent on synaptic input properties. Our results show that GJ coupling can be inhibitory and either promote network synchronization or trigger rapid network desynchronization depending on the synaptic input.
机译:中间神经元之间的电突触有助于大脑中同步的放电和网络振荡。然而,关于这种网络如何对兴奋性突触输入作出反应知之甚少。为了对此进行研究,我们研究了小脑输入层中的电耦合高尔基体细胞(GoC)。我们用免疫组织化学,电子显微镜和电生理学表明,连接蛋白36是GoC树突之间功能间隙连接(GJs)所必需的。在没有一致的突触输入的情况下,GoC会同步其触发。相反,稀疏的,一致的苔藓纤维输入触发了GoC激发和尖峰不同步的激发和抑制的混合。抑制是由于超极化后的尖峰通过GJ传播而引起的。这会触发网络去同步,因为与周围单元的异构耦合会导致尖峰相位分散。详细的网络模型预测,不同步是鲁棒的,本地的,并且依赖于突触输入属性。我们的结果表明,GJ耦合可能具有抑制作用,根据突触输入,可以促进网络同步或触发快速网络去同步。

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