Soil moisture time series response patterns were classified into distinct patterns based on genetic calibration of recession models and hydrologic implications.
Then, a modal time series response analysis was carried out using the wind pressure time series, in order to investigate the effect of higher mode vibrations on estimation of member displacement and stress.
The state variable time series (response variables, Y) were log-transformed, and all variables were mean-centred prior to the regression analysis.
The stimulus-driven activity was removed through 2 steps (Supplementary Fig. 2): First, the stimulus-driven activation as modeled in the GLM analysis was removed, resulting in a residual time series response for each participant.
Secondly, to capture any remaining stimulus-driven response that might not be fully accounted for the hemodynamic model, the first residual time series response was averaged across all ROIs (left and right OFA, left and right FFA, and right pSTS and OccP) and across all 103 participants.
Figure 1 shows the localization of the LGNs in one subject (JLK, a strabismic amblyope), a time series response for our 10 mm region of interest from each LGN illustrating our block design, and plots of the averaged activation comparing left and right eye stimulation for each LGN.
