The ‘valenced learning’ (leftmost) model performs best, i.e. had the lowest integrated Bayesian Information Criterion score. Adding forgetting parameters (right three bars) worsened the fits due to the complexity penalties involved.</p
<p>p<sub>C</sub>, prior common-source probability; σ<sub>P</sub>, standard deviation of the spatial ...
A DDM fits to the rule-based condition for the base model, with no bias terms (dashed lines; note th...
<p>Median and sum differences in Akaike’s Corrected Information Criteria (AICc) between each model a...
Bayes provides a better fit, but both models have large deviations from the data. Left and middle co...
<p><b>(A)</b> Mean azimuthal errors as a function of trial number for the three magnification condit...
BF10 = Bayes Factor (where 10 refers to the alternative hypothesis, H1, relative to the null hypothe...
In both tasks, Bayes-dN fails to describe the data at high reliabilities; Lin and Quad provides a go...
<p>Notes: <i>c</i> - specificity parameter, <i>k</i> -criterion parmeter, <i>w</i> - attention weigh...
<p>(<i>A</i>) Bayesian Information Criterion scores for each model (a low score is better). Models b...
<p>Lesser values indicate better model fit. According to all criteria the modified Mathews et al. (1...
<p>The relative measure of model performance, i.e. the per-bin log-likelihood Δ<i>p</i> (see <a href...
BF10 = Bayes Factor (where 10 refers to the alternative hypothesis, H1, relative to the null hypothe...
BF10 = Bayes Factor (where 10 refers to the alternative hypothesis, H1, relative to the null hypothe...
BF10 = Bayes Factor (where 10 refers to the alternative hypothesis, H1, relative to the null hypothe...
BF10 = Bayes Factor (where 10 refers to the alternative hypothesis, H1, relative to the null hypothe...
<p>p<sub>C</sub>, prior common-source probability; σ<sub>P</sub>, standard deviation of the spatial ...
A DDM fits to the rule-based condition for the base model, with no bias terms (dashed lines; note th...
<p>Median and sum differences in Akaike’s Corrected Information Criteria (AICc) between each model a...
Bayes provides a better fit, but both models have large deviations from the data. Left and middle co...
<p><b>(A)</b> Mean azimuthal errors as a function of trial number for the three magnification condit...
BF10 = Bayes Factor (where 10 refers to the alternative hypothesis, H1, relative to the null hypothe...
In both tasks, Bayes-dN fails to describe the data at high reliabilities; Lin and Quad provides a go...
<p>Notes: <i>c</i> - specificity parameter, <i>k</i> -criterion parmeter, <i>w</i> - attention weigh...
<p>(<i>A</i>) Bayesian Information Criterion scores for each model (a low score is better). Models b...
<p>Lesser values indicate better model fit. According to all criteria the modified Mathews et al. (1...
<p>The relative measure of model performance, i.e. the per-bin log-likelihood Δ<i>p</i> (see <a href...
BF10 = Bayes Factor (where 10 refers to the alternative hypothesis, H1, relative to the null hypothe...
BF10 = Bayes Factor (where 10 refers to the alternative hypothesis, H1, relative to the null hypothe...
BF10 = Bayes Factor (where 10 refers to the alternative hypothesis, H1, relative to the null hypothe...
BF10 = Bayes Factor (where 10 refers to the alternative hypothesis, H1, relative to the null hypothe...
<p>p<sub>C</sub>, prior common-source probability; σ<sub>P</sub>, standard deviation of the spatial ...
A DDM fits to the rule-based condition for the base model, with no bias terms (dashed lines; note th...
<p>Median and sum differences in Akaike’s Corrected Information Criteria (AICc) between each model a...