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In this section we compare the results from PARAFAC and tensor-PICA on
the different artificial data sets (A)-(E). For each method, we show
unthresholded spatial maps, together with both estimated
time-courses and the 'true' (data sets (A) and (B)) or best rank-1
approximation to the set of true (data sets (C) - (E))
time-courses. The accuracy in the subject domain is shown via bar
plots with both the estimated (left bars) and true (right bars)
weights for the three
subjects. In each plot, we show the results of the estimated source
with highest spatial correlation with the true sources. The boxplots
signify how strong the correlation is relative to the correlation
between all other processes and the true spatial maps. Multiple large
correlation coefficients signify substantial cross-talk between
estimated spatial maps.
Subsections
Christian Beckmann
2004-12-14