Figure 4
From: Learning to use vestibular sense for spatial updating is context dependent
Weighted optimization estimation. (A) Schematic representation of the weighted optimization model. In panels (B–D) the solid blue line represents the saccade amplitude during the transfer condition. (B) Saccade amplitude predictions based on the pre-test data at each target eccentricity. The gray solid line represents the prediction based on the pre-test. (C) Saccade amplitude predictions based on the practice data at each target eccentricity. The purple line represents the prediction based on the practice. (D) Weighted optimization estimation. The red line represents the best estimation using the optimized weights of the pre-test and the practice data. (E) Average of the quality of the fitting procedure (VAF) using the linear model with the pre-test data (gray bar), the practice data (purple bar) and the weighted optimization model (red bar). The VAF was significantly larger for the weighted optimization model. (F) The gray bar represents the averaged best weight based on the pre-test data. The purple bar represents the averaged best weight based on the data from practice. * represents p < 0.05.
