A scaling law derived from optimal dendritic wiring
A scaling law derived from optimal dendritic wiring
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DOI：
10.1073/pnas.1200430109
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发表时间：
2012-07-03
影响因子：
11.1
通讯作者：
Haeusser, Michael
中科院分区：
文献类型：
--
作者：
Cuntz, Hermann;Mathy, Alexandre;Haeusser, Michael
树突树的多样性是神经回路最显著的特征之一。在这里，我们开发了一个通用的定量理论，树突布线的总长度的分支点和突触的数量。我们表明，最佳布线预测这些措施之间的2/3幂律。我们证明了该理论与来自许多不同物种的各种神经元的数据是一致的，并有助于定义树突树中的计算隔间。我们的研究结果意味着从根本上不同的设计原则，树枝状乔木相比，血管，支气管和植物树。
The wide diversity of dendritic trees is one of the most striking features of neural circuits. Here we develop a general quantitative theory relating the total length of dendritic wiring to the number of branch points and synapses. We show that optimal wiring predicts a 2/3 power law between these measures. We demonstrate that the theory is consistent with data from a wide variety of neurons across many different species and helps define the computational compartments in dendritic trees. Our results imply fundamentally distinct design principles for dendritic arbors compared with vascular, bronchial, and botanical trees.