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. 2013 Jun 26;33(26):10772–10789. doi: 10.1523/JNEUROSCI.3761-12.2013

Figure 7.

Figure 7.

Predictions of the CRF model when two or three movement attributes are adapted simultaneously. A–D, A movement sequence with two adapted attributes from Experiment 3a. A, Experimental paradigm. B, Baseline and adapted movements. The color scheme is the same as in Figures 3 and 4. Two attributes, MV and SL, are adapted during the training period, while the GL-matched movement was trained with zero rotation. As a result, ΔMV and ΔSL are nonzero, whereas ΔGL is essentially zero. C, Test-movement sequence shown with the contributions of ΔMV, ΔSL, and ΔGL as predicted by the CRF model (colored dots). D, A zoomed in version of C showing the model prediction (orange X) generated by the addition of the ΔMV and ΔSL contributions in line with the form of the CRF model shown in Equation 5. The orange lines in D and H show a graphical depiction of the model prediction as the sum of contributions from ΔMV, ΔSL, and ΔGL. E–H, A movement sequence with three adapted attributes from Experiment 3b, where ΔMV, ΔSL, and ΔGL are all nonzero. E, Experimental paradigm. F, Similar to B, but with adaptation of all three attributes. G, Same as in C. H, Same as in D, but the model prediction now has nonzero contributions from ΔSL, ΔMV, and ΔGL. Average test movements are shown, with across-subject SE ellipses around movement end points.