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Comment
. 2016 Jan 13;36(2):265-7.
doi: 10.1523/JNEUROSCI.3766-15.2016.

Semantic Organization of Body Part Representations in the Occipitotemporal Cortex

Arran T Reader  1
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Semantic Organization of Body Part Representations in the Occipitotemporal Cortex

Arran T Reader. J Neurosci. .
No abstract available

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Figures

Figure 1.
Figure 1.
Simplified overview of RSA as used by Bracci et al. (2015). Correlation-based multivoxel pattern analysis can be used to determine voxelwise dissimilarity between neural activity related to the stimuli a–d. This is used to create a neural dissimilarity matrix. A dissimilarity matrix is a square, symmetrical matrix that compares the similarity between pairs of elements. Diagonal pairs (showing the dissimilarity between an element and itself) are defined as zero. The neural dissimilarity matrix can be compared to the dissimilarity matrices posited by a number of models (in this example, model 1 and model 2). In the case of Bracci et al. (2015), the authors used a multiple regression (for each individual participant) using the model dissimilarity matrices as dependent variables and the neural dissimilarity matrices as independent variables. Differences between the computed regression coefficients were compared using pairwise t tests to reveal which models best explained the neural dissimilarity. This resulted in bar graphs similar to that seen in this figure, which emphasize the degree to which each model can be related to the observed brain activity shown in the neural dissimilarity matrix, with beta estimating the explanatory contribution of each regressor (in this case, the two models).
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