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神经元形态分类和命名的机制研究
引用本文:江荣,刘强,刘权,刘深泉. 神经元形态分类和命名的机制研究[J]. 中国神经再生研究, 2011, 6(25): 1925-1930
作者姓名:江荣  刘强  刘权  刘深泉
作者单位:国防科学技术大学计算机学院,国防科学技术大学计算机学院,国防科学技术大学计算机学院,华南理工大学 理学院数学系
基金项目:国家自然科学基金项目(面上项目,重点项目,重大项目)
摘    要:
The morphological and functional characteristics of neurons are quite varied and complex. There is a need for a comprehensive approach for distinguishing and classifying neurons. Similar to the biological species classification system, this study proposes a morphological classification system for neurons based on principal component analysis. Based on four principal components of neuronal morphology derived from principal component analysis, a nomenclature system for neurons was obtained. This system can accurately distinguish between the same type of neuron from different species.

关 键 词:neuron  geometry  principal component analysis  back-propagating neural networks  morphological classification  neural regeneration
收稿时间:2011-04-06

A proposal for the morphological classification and nomenclature of neurons
jiangrong,and. A proposal for the morphological classification and nomenclature of neurons[J]. Neural Regeneration Research, 2011, 6(25): 1925-1930
Authors:jiangrong  and
Affiliation:School of Computer, National University of Defense Technology,,,
Abstract:
The morphological and functional characteristics of neurons are quite varied and complex. There is a need for a comprehensive approach for distinguishing and classifying neurons. Similar to the biological species classification system, this study proposes a morphological classification system for neurons based on principal component analysis. Based on four principal components of neuronal morphology derived from principal component analysis, a nomenclature system for neurons was obtained. This system can accurately distinguish between the same type of neuron from different species.
Keywords:neuron   geometry   principal component analysis   back-propagating neural networks   morphological classification   neural regeneration
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