Representational similarity analysis circumvents the previous problems by abstracting each fMRI/distributional data source to a common structure capturing the interrelationships between each pair of data items (e.g., words).
for each model/participant's fMRI data/anatomical region, the similarity structure was evaluated by taking the pairwise correlation (Pearson's correlation coefficient) between all unique category or word combinations.