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谷氨酸溢出驱动强大的全或无树突平台电位——一项使用纹状体投射神经元模型的研究

Glutamate spillover drives robust all-or-none dendritic plateau potentials-an investigation using models of striatal projection neurons.

作者信息

Trpevski Daniel, Khodadadi Zahra, Carannante Ilaria, Hellgren Kotaleski Jeanette

机构信息

Science for Life Laboratory, Department of Computer Science, KTH Royal Institute of Technology, Stockholm, Sweden.

Department of Neuroscience, Karolinska Institutet, Stockholm, Sweden.

出版信息

Front Cell Neurosci. 2023 Jun 29;17:1196182. doi: 10.3389/fncel.2023.1196182. eCollection 2023.

Abstract

Plateau potentials are a critical feature of neuronal excitability, but their all-or-none behavior is not easily captured in modeling. In this study, we investigated models of plateau potentials in multi-compartment neuron models and found that including glutamate spillover provides robust all-or-none behavior. This result arises due to the prolonged duration of extrasynaptic glutamate. When glutamate spillover is not included, the all-or-none behavior is very sensitive to the steepness of the Mg block. These results suggest a potentially significant role of glutamate spillover in plateau potential generation, providing a mechanism for robust all-or-none behavior across a wide range of slopes of the Mg block curve. We also illustrate the importance of the all-or-none plateau potential behavior for nonlinear computation with regard to the nonlinear feature binding problem.

摘要

平台电位是神经元兴奋性的一个关键特征,但其全或无行为在建模中不易捕捉。在本研究中,我们研究了多室神经元模型中的平台电位模型,发现纳入谷氨酸溢出可提供稳健的全或无行为。这一结果源于突触外谷氨酸的持续时间延长。当不纳入谷氨酸溢出时,全或无行为对镁阻断的陡度非常敏感。这些结果表明谷氨酸溢出在平台电位产生中可能发挥重要作用,为跨镁阻断曲线广泛斜率范围的稳健全或无行为提供了一种机制。我们还说明了全或无平台电位行为对于非线性计算中非线性特征绑定问题的重要性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f5a3/10352111/678d1325a8b3/fncel-17-1196182-g0001.jpg

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