Representational similarity match for each neural model in the ROI, ordered by mean representational similarity matcha
| Neural model | Representational similarity match |
|---|---|
| Logposterior | 0.01410 ± 0.00291 |
| Posterior–ranking | 0.01223 ± 0.00283 |
| Posterior | 0.01219 ± 0.00284 |
| Posterior–feedbackRL | 0.01185 ± 0.00288 |
| MAP | 0.00961 ± 0.00244 |
| Posterior–MAPonly | 0.00944 ± 0.00246 |
| Entropy | 0.00892 ± 0.00243 |
| MAP–feedbackRL | 0.00851 ± 0.00217 |
| p(MAP) | 0.00589 ± 0.00187 |
| Current likelihoods | 0.00220 ± 0.00157 |
| Current animal | 0.00033 ± 0.00154 |
| Time | −0.03639 ± 0.00404 |
↵aThis table shows mean and SE of the absolute values of the representational similarity match, rather than the mean and SE of the within-participant differences relative to the best neural model (shown in Fig. 6).