Optimizing Experimental Design for Comparing Models of Brain Function
Figure 17
Finger-tapping task: splitting analysis.
This figures summarizes the results of the splitting analysis (see main text), in terms of the relationship between the Laplace-Chernoff risk and the observed model selection error rate. Left: splitting procedure. The complete data and input sequence (one per subject and per design) is split into segments, each of which is analyzed independently. Right: the average (across segments and subjects) probability of making a model selection mistake (i.e. ) is plotted as a function of the Laplace-Chernoff risk, for both designs (blue: event-related, red: blocked). Each point corresponds to a different splitting procedure (no split, split into segments, split into segments).