CASIA OpenIR  > 类脑智能研究中心
Neural Pathway Prediction based on Multi-neuron Spike Train Data
Yi Zeng(曾毅); Tielin Zhang(张铁林); Bo Xu(徐波); Ceng Y(曾毅)
2014
Conference NameThe Twenty-Third Annual Computational Neuroscience Meeting (CNS 2014)
Source PublicationBMC Neuroscience
Volume15(Suppl 1)
PagesP6
Conference DateJuly 26-31, 2014
Conference PlaceQuébec City, Canada
Abstract
The finding of Neural Pathway is typically based on brain slicing and reconstruction with nanoscale imaging. Nevertheless, this method is not applicable when nanoscale imaging is not available. We propose that multi-neuron spike train data can be used as an alternative source to predict the neural pathways, and here we discuss two concrete strategies for neural pathway prediction based on this kind of data.
KeywordPathway Prediction Multi-neuron Spike Train Data
DOI10.1186/1471-2202-15-S1-P7
Language英语
Citation statistics
Document Type会议论文
Identifierhttp://ir.ia.ac.cn/handle/173211/10358
Collection类脑智能研究中心
Corresponding AuthorCeng Y(曾毅)
AffiliationInstitute of Automation, Chinese Academy of Sciences
Recommended Citation
GB/T 7714
Yi Zeng,Tielin Zhang,Bo Xu,et al. Neural Pathway Prediction based on Multi-neuron Spike Train Data[C],2014:P6.
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