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首页> 外文期刊>Philosophical Transactions of the Royal Society of London, Series B. Biological Sciences >Analysis of the connectional organization of neural systems associated with the hippocampus in rats
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Analysis of the connectional organization of neural systems associated with the hippocampus in rats

机译:大鼠海马神经系统的连接组织分析

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摘要

The hippocampus of the rat enjoys a central significance for researchers interested in the neural mechanisms of memory and spatial information processing. Many of the theoretical models advanced to explain function in this system, however, do not reflect the wealth of information on the connectivity of these structures, and employ greatly simplified treatments of its complex connectivity. We were interested in whether a more analytical approach, which begins with analysis of the connectivity of the system, might provide insights complementary to those derived by synthetic models. Accordingly, We collated detailed neuroanatomical information about the connectivity of the hippocampal system in the rat, and analysed the resulting data. Analyses of connectivity based on a variety of different analytical techniques have recently been used to elucidate the global organization of other systems in the macaque and cat, and have given rise to successful predictions. We applied non-metric multidimensional scaling and non-parametric cluster analysis to our summary matrix of connection data. The analyses produced organizational schemes that were consistent with known physiological properties and provided the basis for making tentative predictions of the further structures that may contain 'place' and 'head-direction' cells, which structures we identify. The consistency between the analyses of connectivity and the distribution of physiological properties across the system suggests that functional relationships are constrained by the organization of the connectivity of the system, and so that structure and function are linked at the systems level. [References: 73]
机译:对于对记忆和空间信息处理的神经机制感兴趣的研究人员,大鼠海马区具有重要意义。但是,许多先进的理论模型可用来解释该系统的功能,但是它们并未反映有关这些结构的连通性的大量信息,因此对其复杂连通性采用了大大简化的处理方法。我们感兴趣的是,从分析系统的连通性开始的更具分析性的方法是否可以提供与综合模型得出的见解相辅相成的见解。因此,我们整理了有关大鼠海马系统连接性的详细神经解剖学信息,并分析了所得数据。基于各种不同分析技术的连通性分析最近已用于阐明猕猴和猫中其他系统的全球组织,并已引起成功的预测。我们在连接数据汇总矩阵中应用了非度量多维缩放和非参数聚类分析。这些分析产生了与已知生理特性一致的组织方案,并为初步预测可能包含“定位”和“头部”细胞的进一步结构提供了基础,这些结构我们可以确定。连接性分析和整个系统的生理特性分布之间的一致性表明,功能关系受系统连接性组织的约束,因此结构和功能在系统级别上是链接的。 [参考:73]

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