Ji Xiaoli

thank you very much for your reply, I have a further question, is there any method to get the exact value of beta weight for every tempo factors over the time window?

Dear Professor Dien I read the tutorial again, on the page 130, the introduction about " Windowing Subject Average Data", the introduction said "The time window also needs to be specified. Let's try a 176-224 ms window (although this tutorial dataset is too small to look for significant effects) by entering in samples 70 to 81". my question is how this time window "176-224 ms" was selected for tf04sp01?

Dear Professor Dien I am sorry that I didn't clarify myself clearly. In the paper, as a quoted “Mean voltage data was extracted from two spatial regions of interest (ROI) defined by the selected temporospatial factor from the principal components analysis (TF01SF1-Island PCA; TF01SF1-Non-island PCA) over a time window defined with a 0.6 beta weight criterion... This gave a frontal ROI with a time window of 588–792 ms for the Island PCA and a posterior ROI with a time window of 612–796 ms for the...

Dear Professor Dien I am a newer with ERP and PCA analysis, while I was doing data analysis with my experiment, I found a paper using this toolbox to do the PCA analysis,which enlightened my data results. In this paper, the author described her process of PCA as follows: Following Dien et al. (2007)’s recommendations for principal components analysis of ERP data, we conducted a temporal PCA followed by a spatial independent components analysis (ICA) of each temporal component. ...Mean voltage data...