Principal Component Analysis extracted a Rotated Component Matrix with 11 Components for the analysis that included behavioral variables from all three intervals of the recording session. The matrix contains the principal component loadings, which are essentially bivariate correlation coefficients representing correlation between the variable (row) and the component (column). Only major loadings (larger than 0.25) are shown. Note that variables quantified for the pre stimulus (pre), stimulus (stim), and post stimulus (post) intervals are considered separate variables here. Note that some components contain loadings for variables corresponding to particular intervals (e.g. the stimulus and/or post-stimulus intervals) whereas others contain loadings of variables corresponding to a particular behavior measured in all three intervals.
Rotated Component Matrix (Pre stimulus, Stimulus, Post stimulus intervals)