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Complexity of branching dendritic trees: dependence on number of trees per cell and effects of branch loss during sectioning.

机译:树枝状树枝状树木的复杂性:取决于每个细胞中树木的数量以及切片过程中树枝损失的影响。

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摘要

We have investigated whether the complexity of dendritic trees is correlated with the number of primary dendrites per neuron (trees per cell). In estimating the average number of branches of centrifugal orders 1-5 per tree we used statistical methods to compensate for loss of parts of trees during sectioning. Limitations of these methods are discussed. Neurons from four populations, stained by the Golgi-Cox method, were examined: stellate cells from layer IV, area 17 of visual cortex, in normal and dark-reared cats; the pyramidal cells from layer V, somatosensory cortex, in two strains of rats. In all four groups of neurons the average number of branches of higher orders (3, 4, 5) per tree tended to be smaller in neurons bearing more trees. Thus all trees from a population of neurons should not be assumed to be equivalent. The decreasin high-order branches per tree tended to offset the increase in number of trees per cell. In three of the four groups these opposed tendencies maintained the average number of high-order branches per neuron nearly independent of the number of trees per cell. Natural selection may have favoured near-constancy in the number of high-order branches to reduce dispersion among neurons of one type in functional input-output rleations.
机译:我们研究了树突树的复杂性是否与每个神经元(每个细胞的树)的初级树突的数量相关。在估计每棵树1-5个离心阶的平均分支数时,我们使用统计方法来补偿切片期间树木部分的损失。讨论了这些方法的局限性。检查了通过高尔基-柯克斯方法染色的四个种群的神经元:正常和深色饲养猫的IV层,视觉皮层区域17中的星状细胞;两种大鼠的体感皮层V层的锥体细胞。在所有四组神经元中,具有更多树的神经元中,每棵树的高阶平均分支数(3、4、5)趋向于减少。因此,不应假定来自神经元群体的所有树木都是等效的。每棵树减少的高阶分支趋向于抵消每单元树的数量增加。在四组中的三组中,这些相反的趋势保持了每个神经元高阶分支的平均数量,而几乎与每个细胞的树木数量无关。自然选择可能有利于高阶分支的数量接近恒定,以减少功能性输入-输出关系中一种类型的神经元之间的分散。

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