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Neuronal Morphology Modeling Based on Microscopy Reconstruction Data in the Public Repositories
Yi Zeng(曾毅); Weida Bi(毕韦达); Xuan Tang(唐璇); Bo Xu(徐波)
2014
会议名称The 2014 International Conference on Brain Informatics and Health (BIH 2014)
会议录名称Lecture Notes in Artificial Intelligence
卷号8609
页码1-11
会议日期August 11-14
会议地点Warsaw, Poland
出版者Springer
摘要Neuronal morphology modeling is one of the key steps for reverse engineering the brain at the micro level. It creates a realistic digital version of the neuron obtained by microscopy reconstruction in a visualized way so that the structure of the whole neuron (including soma, dendrite, axon, spin, etc.) is visible in different angles in a three dimensional space. Whether the modeled neuronal morphology matches the original neuron in vivo is closely related to the details captured by the manually sampled morphological points. Many data in public neuronal morphology data repositories (such as the NeuroMorpho project) focus more on the morphology of dendrites and axons, while there are only a few points to represent the neuron soma. The lack of enough details for neuron soma makes the modeling on the soma morphology a challenging task. In this paper, we provide a general method to neuronal morphology modeling (including the soma and its connections to surrounding dendrites, and axons, with a focus on how different components are connected) and handle the challenging task when there are not many detailed sample points for soma.
关键词Neuron Morphology Reconstruction Neuronal Morphology Modeling Soma Reconstruction
DOIhttp://link.springer.com/chapter/10.1007%2F978-3-319-09891-3_1
收录类别EI
语种英语
引用统计
文献类型会议论文
条目标识符http://ir.ia.ac.cn/handle/173211/10356
专题类脑智能研究中心
作者单位Institute of Automation, Chinese Academy of Sciences
推荐引用方式
GB/T 7714
Yi Zeng,Weida Bi,Xuan Tang,et al. Neuronal Morphology Modeling Based on Microscopy Reconstruction Data in the Public Repositories[C]:Springer,2014:1-11.
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