Differential adhesion approach to the patterning of nerve connections.

Differential adhesion approach to the patterning of nerve connections.
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神经连接模式的差异粘附方法。

DOI:
10.1016/0012-1606(80)90130-x
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发表时间:
1980
影响因子:
2.7
通讯作者:
Fraser,SE
Fraser,SE
中科院分区:
生物学3区
文献类型:
--
作者:
Fraser,SE

文献摘要

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一个模型的神经元连接的顺序,包括许多方面的以前的模型的开发和测试对广泛的数据对较低的脊椎动物(两栖动物和鱼类)的视觉系统。本文的目标是建立这样一个综合模型可以容纳广泛的数据和可靠的预测实验结果。该模型比以前的努力有两个进步:(i)它预测了许多实验中获得混合结果的少数和多数结果,以及(ii)在某些实验环境中,它减少了许多以前的模型。此外,该模型预测了细胞-细胞识别的生物化学性质与先前考虑的不同(即,嗜同性粘附)。因此,该模型将明显不同的实验结果纳入一个统一的概念框架。
A model for the ordering of neuronal connections encompassing many facets of previous models is developed and tested against a wide range of data on the visual system of lower vertebrates (amphibia and fish). The goal of this paper is to establish that such a synthetic model can accommodate a wide range of data and reliably predict experimental results. This model makes two advances over previous efforts: (i) It predicts both minority and majority results for many of the experiments in which mixed results are obtained, and (ii) it reduces to behave as many of the previous models in some experimental settings. In addition, the model predicts different biochemical properties for cell-cell recognition than previously considered (i.e., homophilic adhesion). The model thus brings apparently disparate experimental results into a unified conceptual framework.