Hi MVPA experts, Diedrichsen et al. <http://www.sciencedirect.com/science/article/pii/S1053811911000796> (2011) published a paper that discusses how you can't directly compare representative (dis)similarity matrices (for RSA) between different brain regions or individuals, and proposes a model for doing so. Yet most RSA papers seem to do so and, looking around online, it looks like Diedrichsen and his co-authors are pretty much the only people who uses this component model (he has a MATLAB toolbox <http://www.icn.ucl.ac.uk/motorcontrol/imaging/multivariate_analysis.htm> for it).
What do people think of the pattern component model? Is it worrying too much or does he raise good points about the difficulty of direct comparisons in RSA? Is their plans to implement something similar to this in PyMVPA? Thanks, Bill
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