局部抑制在间接通路白球网络模型减缓和解除背景放电,但增强和同步纹状体输入的反应

IF 1.5 4区 医学 Q3 MATHEMATICAL & COMPUTATIONAL BIOLOGY
Erick Olivares, Matthew H. Higgs, Charles J. Wilson
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引用次数: 2

摘要

苍白球外节(GPe)是一个由抑制性突触连接的振荡神经元网络。我们研究了GPe模型网络的内在动力学和对共同短暂抑制刺激的响应。利用基于小鼠GPe神经元切片测量的相位重置模型模拟单个神经元。神经元在放电速率和相位重置曲线的形状和大小上表现出广泛的异质性。网络中的连通性被设置为与实验测量相匹配。我们在一个小世界模型中生成了统计上等效的神经元异质性,其中99%的连接是与近邻建立的,1%是随机建立的,在一个完全随机连接的模型中。在这两个网络中,由于局部抑制,静息活动减慢并变得更加不规则,但它没有表现出任何周期性模式。神经元对之间的相互关系仅限于直接连接的神经元。当受到共同抑制输入的刺激时,单个神经元的反应分为两组:一组具有短而刻板的抑制期,随后是短暂的放电概率增加,另一组具有持续的抑制反应。尽管放电速率不同,但第一组神经元的反应是固定的,并且在细胞间是同步的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Local inhibition in a model of the indirect pathway globus pallidus network slows and deregularizes background firing, but sharpens and synchronizes responses to striatal input

The external segment of globus pallidus (GPe) is a network of oscillatory neurons connected by inhibitory synapses. We studied the intrinsic dynamic and the response to a shared brief inhibitory stimulus in a model GPe network. Individual neurons were simulated using a phase resetting model based on measurements from mouse GPe neurons studied in slices. The neurons showed a broad heterogeneity in their firing rates and in the shapes and sizes of their phase resetting curves. Connectivity in the network was set to match experimental measurements. We generated statistically equivalent neuron heterogeneity in a small-world model, in which 99% of connections were made with near neighbors and 1% at random, and in a model with entirely random connectivity. In both networks, the resting activity was slowed and made more irregular by the local inhibition, but it did not show any periodic pattern. Cross-correlations among neuron pairs were limited to directly connected neurons. When stimulated by a shared inhibitory input, the individual neuron responses separated into two groups: one with a short and stereotyped period of inhibition followed by a transient increase in firing probability, and the other responding with a sustained inhibition. Despite differences in firing rate, the responses of the first group of neurons were of fixed duration and were synchronized across cells.

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来源期刊
CiteScore
2.00
自引率
8.30%
发文量
32
审稿时长
3 months
期刊介绍: The Journal of Computational Neuroscience provides a forum for papers that fit the interface between computational and experimental work in the neurosciences. The Journal of Computational Neuroscience publishes full length original papers, rapid communications and review articles describing theoretical and experimental work relevant to computations in the brain and nervous system. Papers that combine theoretical and experimental work are especially encouraged. Primarily theoretical papers should deal with issues of obvious relevance to biological nervous systems. Experimental papers should have implications for the computational function of the nervous system, and may report results using any of a variety of approaches including anatomy, electrophysiology, biophysics, imaging, and molecular biology. Papers investigating the physiological mechanisms underlying pathologies of the nervous system, or papers that report novel technologies of interest to researchers in computational neuroscience, including advances in neural data analysis methods yielding insights into the function of the nervous system, are also welcomed (in this case, methodological papers should include an application of the new method, exemplifying the insights that it yields).It is anticipated that all levels of analysis from cognitive to cellular will be represented in the Journal of Computational Neuroscience.
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