Figure 8.

Experimental results and evaluation of model predictions for movement sequences with multiple simultaneously adapted movement attributes. A, Adapted test-movement sequences from the two-attribute adaptation experiment (Experiment 3a). Note that 16 different movement configurations are shown. Colored dots indicate the contributions from ΔMV, ΔGL, and ΔSL as predicted by the coefficients predetermined in Experiment 2, and the orange Xs indicate the corresponding predictions of the predetermined CRF model. Purple Xs indicate the predictions of the CRF model with parameters refit to best account for the Experiment 3 data (best-fit CRF model). B, Same format as A but for the three-attribute adaptation experiment (Experiment 3b). Note that the average test movements are shown with across-subject SE ellipse around movement end points. C, The prediction error of the pure GL-based, pure MV-based, best-fit CRF, and predetermined CRF models, computed using leave-one-out cross-validation. D, The fraction of variance (R²) accounted for by each model shown in C relative to the baseline test sequence end point. E, F, The same as C and D but for repeated twofold cross-validation to reduce noise across subjects. Error bars represent SEM across subjects.