Figure 2. Construction of RDMs. (A) An RDM is constructed from neural data by extracting the multi-voxel pattern response from a ROI, from a single participant, for each individual stimulus. The dissimilarity, or 1 minus the correlation coefficient, is found between all possible stimuli comparison pairs, to create a dissimilarity matrix. (B) An RDM is constructed from behavioral data by collecting the response from a participant for each individual stimulus. The dissimilarity between all individual stimuli pairs is found using a distance measure calculation, such as the Euclidean distance. (C) A conceptual model RDM is constructed by pinpointing a feature of interest from the stimulus set. The dissimilarity matrix represents which stimuli share the common feature and which do not. (D) In the final step of the analysis, the bRDM and two mRDMs are compared to the nRDM. A noise ceiling (the gray horizontal bar) is calculated to see how well a perfect model would perform. Significance tests show that the bRDM and the mRDM1 are significantly similar to the nRDM. A pairwise comparison shows that the bRDM performs significantly better than the mRDM1 and mRDM2, in terms of relating to the nRDM.