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| 1 | 脑机接口的MapReduce计算模型显示文摘研究了脑机接口各项计算任务的时间关系,把脑机接口的计算过程分成了三个阶段,并把前两个阶段映射为了MapReduce机制的Map和Reduce,提出了脑机接口的MapReduce计算模型.由于脑机接口的绝大多数计算量集中在前两个阶段,该模型能够显著减少脑机接口的计算时间. | 黄志华 | 2013 | 福州大学学报(自然科学版)2013，41，6： | 0 |
| 2 | A novel single-trial event-related potential estimation method based on compressed sensing显示文摘Cognitive functions are often studied using eventrelated potentials(ERPs)that are usually estimated by an averaging algorithm.Clearly,estimation of single-trial ERPs can provide researchers with many more details of cognitive activity than the averaging algorithm.A novel method to estimate single-trial ERPs is proposed in this paper.This method includes two key ideas.First,singular value decomposition was used to construct a matrix,which mapped singletrial electroencephalographic recordings(EEG)into a low-dimensional vector that contained little information from the spontaneous EEG.Second,we used the theory of compressed sensing to build a procedure to restore single-trial ERPs from this low-dimensional vector.ERPs are sparse or approximately sparse in the frequency domain.This fact allowed us to use the theory of compressed sensing.We verified this method in simulated and real data.Our method and dVCA(differentially variable component analysis),another method of single-trial ERPs estimation,were both used to estimate single-trial ERPs from the same simulated data.Results demonstrated that our method significantly outperforms dVCA under various conditions of signal-to-noise ratio.Moreover,the single-trial ERPs estimated from the real data by our method are statistically consistent with the theories of cognitive science. | Zhihua Huang Minghong Li Shangchuan Yang Yuanye Ma Changle Zhou | 2013 | Neuroscience Bulletin2013，29，6： | 0 |
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