Fig. 9.

Estimates of the spatial auto-correlation from 4 different pattern components for primary sensory cortex (S1), primary motor cortex (M1) and lobule V of the cerebellum (V). The noise components (A) and run component (B) show rapidly decaying spatial autocorrelation functions, with slightly wider correlations in cortical than in cerebellar regions. (C) The main effect of condition shows wider correlation kernels, indicating that larger groups of voxels increase or decrease consistently in movement and stimulation condition. (D) The effect of finger indicates slightly larger finger patches in S1 than in M1, with the representations in lobule V being smaller than the effective resolution.