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引用次数: 0
摘要
促性腺激素释放激素神经元(GnRH 神经元)的脉动活动是调节生殖激素的一个关键因素。这种脉动性是由神经元网络协调的,这些神经元释放神经递质吻肽、神经激肽 B 和达因啡肽(KNDy 神经元),并产生驱动 GnRH 神经元的偶发性突发性活动。我们在这项计算研究中表明,KNDy 神经元协调活动的特征可以用神经元之间的连接是模块化的神经网络来解释。也就是说,这种网络结构由高度连接的神经元群组成,而神经元群之间的耦合稀疏。这种模块化结构具有不同的簇内耦合参数和簇间耦合参数,还能预测簇内和簇间耦合强度的变化对同步的不同影响。
Population bursts in a modular neural network as a mechanism for synchronized activity in KNDy neurons.
The pulsatile activity of gonadotropin-releasing hormone neurons (GnRH neurons) is a key factor in the regulation of reproductive hormones. This pulsatility is orchestrated by a network of neurons that release the neurotransmitters kisspeptin, neurokinin B, and dynorphin (KNDy neurons), and produce episodic bursts of activity driving the GnRH neurons. We show in this computational study that the features of coordinated KNDy neuron activity can be explained by a neural network in which connectivity among neurons is modular. That is, a network structure consisting of clusters of highly-connected neurons with sparse coupling among the clusters. This modular structure, with distinct parameters for intracluster and intercluster coupling, also yields predictions for the differential effects on synchronization of changes in the coupling strength within clusters versus between clusters.
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