A Universal Property of Axonal and Dendritic Arbors
A Universal Property of Axonal and Dendritic Arbors
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DOI：
10.1016/j.neuron.2010.02.013
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发表时间：
2010-04-15
期刊：
影响因子：
16.2
通讯作者：
Stevens, Charles F.
中科院分区：
文献类型：
--
作者：
Snider, Joseph;Pillai, Andrea;Stevens, Charles F.
轴突和树突的乔木可以通过它们的空间密度函数来统计地表征，该函数指定在神经回路中的每个点处找到特定乔木的分支的概率。基于对来自不同物种的许多神经元类型的1000多个乔木的分析，我们发现了乔木结构中一个意想不到的简单性：我们检查的所有乔木，包括轴突和树突，都可以用高斯密度函数来描述，该函数在大约两个标准差处截断。由于所有乔木的特征在于密度函数与此单一的功能形式，只有四个参数需要指定乔木的大小和形状：其分支的总长度和高斯在三个正交方向的标准偏差。乔木结构的这种简单性可能对神经回路的发育布线有影响。
Axonal and dendritic arbors can be characterized statistically by their spatial density function, a function that specifies the probability of finding a branch of a particular arbor at each point in a neural circuit. Based on an analysis of over a thousand arbors from many neuron types in various species, we have discovered an unexpected simplicity in arbor structure: all of the arbors we have examined, both axonal and dendritic, can be described by a Gaussian density function truncated at about two standard deviations. Because all arbors are characterized by density functions with this single functional form, only four parameters are required to specify an arbor's size and shape: the total length of its branches and the standard deviations of the Gaussian in three orthogonal directions. This simplicity in arbor structure can have implications for the developmental wiring of neural circuits.