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树突恒常性的一般原则:神经元大小和形状不变的兴奋性。

A general principle of dendritic constancy: A neuron's size- and shape-invariant excitability.

作者信息

Cuntz Hermann, Bird Alex D, Mittag Martin, Beining Marcel, Schneider Marius, Mediavilla Laura, Hoffmann Felix Z, Deller Thomas, Jedlicka Peter

机构信息

Ernst Strüngmann Institute (ESI) for Neuroscience in cooperation with the Max Planck Society, 60528 Frankfurt am Main, Germany; Frankfurt Institute for Advanced Studies, 60438 Frankfurt am Main, Germany.

Ernst Strüngmann Institute (ESI) for Neuroscience in cooperation with the Max Planck Society, 60528 Frankfurt am Main, Germany; Frankfurt Institute for Advanced Studies, 60438 Frankfurt am Main, Germany; ICAR3R - Interdisciplinary Centre for 3Rs in Animal Research, Justus Liebig University Giessen, 35390 Giessen, Germany.

出版信息

Neuron. 2021 Nov 17;109(22):3647-3662.e7. doi: 10.1016/j.neuron.2021.08.028. Epub 2021 Sep 22.

DOI:10.1016/j.neuron.2021.08.028
PMID:34555313
Abstract

Reducing neuronal size results in less membrane and therefore lower input conductance. Smaller neurons are thus more excitable, as seen in their responses to somatic current injections. However, the impact of a neuron's size and shape on its voltage responses to dendritic synaptic activation is much less understood. Here we use analytical cable theory to predict voltage responses to distributed synaptic inputs in unbranched cables, showing that these are entirely independent of dendritic length. For a given synaptic density, neuronal responses depend only on the average dendritic diameter and intrinsic conductivity. This remains valid for a wide range of morphologies irrespective of their arborization complexity. Spiking models indicate that morphology-invariant numbers of spikes approximate the percentage of active synapses. In contrast to spike rate, spike times do depend on dendrite morphology. In summary, neuronal excitability in response to distributed synaptic inputs is largely unaffected by dendrite length or complexity.

摘要

神经元尺寸减小会导致膜面积减小,进而使输入电导降低。因此,较小的神经元更易兴奋,这在它们对体细胞电流注入的反应中可见一斑。然而,对于神经元的大小和形状对其树突突触激活电压反应的影响,我们了解得要少得多。在这里,我们使用解析电缆理论来预测无分支电缆中对分布式突触输入的电压反应,结果表明这些反应完全独立于树突长度。对于给定的突触密度,神经元反应仅取决于平均树突直径和固有电导率。这在广泛的形态范围内都是有效的,无论其分支复杂性如何。发放模型表明,与活跃突触百分比近似的发放次数与形态无关。与发放率不同,发放时间确实取决于树突形态。总之,对分布式突触输入的神经元兴奋性在很大程度上不受树突长度或复杂性的影响。

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