论文标题
将统计分析应用于工作记忆问题
Application of statistical analysis to working memory problem
论文作者
论文摘要
本文致力于脑电图研究将视力信息保持在工作记忆中的连通性皮质区域。 Var-ModeLing用于描述与工作记忆脑区域相连的信号。通过Granger因果关系部分定向连贯性（PDC）估算大脑连接，然后通过Wilcoxon签名级测试进行比较。在纸连接中，发现对执行任务的强度依赖性。
This article is devoted to EEG studying of connectivity cortical areas involved in keeping vision information in working memory. VAR-modeling was used for describing signals got from connected with working memory brain zones. Brain connections were estimated by based in Granger Causality Partial Directed Coherence (PDC) and then compared by Wilcoxon signed-rank test. In paper connection intensity dependence on executing task was found.
