For each observer, the table shows the model variant that provided the best fit to the data. The same information is provided for the best positional variant of the model based on the alternative (non-best fitting) distance metric. The rightmost column indicates whether the cross-validation log-likelihoods obtained for the best fitting models for the two metric variants differed significantly. A paired-sample t-test, with α criterion level adjusted for multiple comparisons (one test for each observer: p = 0.05/12 = 0.0042) indicated that the two models differed significantly only for one observer (cjz, marked with asterisk). For four other observers p-values were smaller than 0.05 (as shown), but were not significant after the correction fo...
<p>NS: no significant difference; asterisks indicate significant differences at *p<0.05, **p<0.01 an...
The distance d is defined by expression 8, with smaller values indicating a better fit to the empiri...
Traditional model comparison procedure selects nested structured models by evaluating the feasibilit...
<p>K = number of model parameters fitted to data, n = number of experimental observations (22 observ...
<p>(A) We compared the ‘Reward T’ model to all the other models by examining the paired differences ...
<p>Lesser values indicate better model fit. According to all criteria the modified Mathews et al. (1...
<p>(A) We compared the ‘Reward T’ (lowest WAIC) model WAIC score to the other models by examining th...
<p>Comparisons of model fit statistics between 2-factor and 3-factor models (n = 296).</p
a<p>The names of the 11 models (Flyway model and Ran1-10) in the comparison test: Model1 is the non-...
Comparison results of different network models: A is training accuracy of model, B is validation acc...
<p>Lower ΔAIC values indicate better model fits (best model = 0). ΔAIC <2 indicates substantial supp...
<p>For each of the 66 model categories, the best fitting model within the category is shown. The sol...
<p>The relative measure of model performance, i.e. the per-bin log-likelihood Δ<i>p</i> (see <a href...
<p><b>a</b>: Each column represents a subject, divided by test group (all datasets include a Gaussia...
Comparison of the average discrepancy of all seven models by incorporating empirical data across all...
<p>NS: no significant difference; asterisks indicate significant differences at *p<0.05, **p<0.01 an...
The distance d is defined by expression 8, with smaller values indicating a better fit to the empiri...
Traditional model comparison procedure selects nested structured models by evaluating the feasibilit...
<p>K = number of model parameters fitted to data, n = number of experimental observations (22 observ...
<p>(A) We compared the ‘Reward T’ model to all the other models by examining the paired differences ...
<p>Lesser values indicate better model fit. According to all criteria the modified Mathews et al. (1...
<p>(A) We compared the ‘Reward T’ (lowest WAIC) model WAIC score to the other models by examining th...
<p>Comparisons of model fit statistics between 2-factor and 3-factor models (n = 296).</p
a<p>The names of the 11 models (Flyway model and Ran1-10) in the comparison test: Model1 is the non-...
Comparison results of different network models: A is training accuracy of model, B is validation acc...
<p>Lower ΔAIC values indicate better model fits (best model = 0). ΔAIC <2 indicates substantial supp...
<p>For each of the 66 model categories, the best fitting model within the category is shown. The sol...
<p>The relative measure of model performance, i.e. the per-bin log-likelihood Δ<i>p</i> (see <a href...
<p><b>a</b>: Each column represents a subject, divided by test group (all datasets include a Gaussia...
Comparison of the average discrepancy of all seven models by incorporating empirical data across all...
<p>NS: no significant difference; asterisks indicate significant differences at *p<0.05, **p<0.01 an...
The distance d is defined by expression 8, with smaller values indicating a better fit to the empiri...
Traditional model comparison procedure selects nested structured models by evaluating the feasibilit...