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摘要: ![](http://images2015.cnblogs.com/blog/795056/201706/795056-20170623203704007-2029379139.jpg) 阅读全文
posted @ 2017-06-23 18:27 minks 阅读(642) 评论(0) 推荐(1) 编辑
摘要: Source: Beissner, F., Meissner, K., Bär, K. J., & Napadow, V. (2013). The autonomic brain: an activation likelihood estimation meta analysis for centr 阅读全文
posted @ 2017-05-27 08:46 minks 阅读(473) 评论(0) 推荐(1) 编辑
摘要: Source: "Wikipedia: Event related potential" " C1 and P1 / P100 " ) C1 First negative going component (when using a mastoid reference point) or a posi 阅读全文
posted @ 2017-04-30 10:00 minks 阅读(744) 评论(0) 推荐(0) 编辑
摘要: Source: "Eeglablist" I’m trying to find out, how much variance of the original data the components (computed by ICA) explain, but I’m not sure how to 阅读全文
posted @ 2017-04-05 10:39 minks 阅读(628) 评论(0) 推荐(0) 编辑
摘要: 来源: "whiteinblue的专栏" 之前在看斯坦福教程中whiteining这一章时,由于原始图像相邻像素值具有高度相关性,所以图像数据信息冗余,需要做白化处理。 白化的作用的描述主要有两个方面:1,减少特征之间的相关性;2,特征具有相同的方差(协方差阵为1) 。 白化,又称漂白或者球化;是对 阅读全文
posted @ 2017-03-17 16:32 minks 阅读(2661) 评论(0) 推荐(0) 编辑
摘要: Source: "Cross Validated" ttnphns In PCA, you split covariance (or correlation) matrix into scale part (eigenvalues) and direction part (eigenvectors) 阅读全文
posted @ 2017-03-17 11:20 minks 阅读(2120) 评论(0) 推荐(0) 编辑
摘要: 来源:知乎:独立成分分析(ICA)与主成分分析(PCA)的区别在哪里(https://www.zhihu.com/question/28845451) - 一楼:魏天闻 首先回答题主的问题:不管是PCA还是ICA,都不需要你对源信号的分布做具体的假设;如果观察到的信号为高斯,那么源信号也为高斯,此时 阅读全文
posted @ 2017-03-16 15:20 minks 阅读(2915) 评论(0) 推荐(0) 编辑
摘要: 注意,非医学专业,不保证正确。并且心尖朝向还是画反了(应朝向左)... 阅读全文
posted @ 2017-03-05 09:27 minks 阅读(548) 评论(0) 推荐(0) 编辑
摘要: Source: "NeuroBytes" In my previous post, I wrote about the Phase Locking Value statistic that can be used to quantify neural synchrony between two el 阅读全文
posted @ 2017-03-04 11:33 minks 阅读(1535) 评论(0) 推荐(0) 编辑
摘要: Source: "NeuroBytes" Phase Locking Value (PLV) is a statistic that can be used to investigate task induced changes in long range synchronization of ne 阅读全文
posted @ 2017-03-04 10:38 minks 阅读(5031) 评论(0) 推荐(0) 编辑
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