Figure 11.
Correlation between human and model RDMs in different background conditions and complexity levels. (A) Correlation between human RDMs and model RDMs across different levels of variation, calculated based on classifier responses, when objects were presented on natural backgrounds. (B) Correlation between human RDMs and model RDMs across different levels of variation, obtained based on classifier responses, when objects were presented on plain backgrounds. (C) Correlation between human RDMs and model RDMs across different levels of variation, obtained based on models' feature vector, when objects were presented on plain backgrounds. The p-values for correlation between human and each of the models are shown at the top of each plot, specified with different colors for different models (ns, means not significant; *p < 0.05; **p < 0.005; ****p < 10−4; and *****p < 10−6). Error bars are standard deviations of the mean. Correlation results are the average over 10,000 bootstrap resamples (we used Kendall tau-a rank correlation). The RSA tool box was used for correlation calculation (Nili et al., 2014).