<p>Each column presents the mean value, with the standard deviation between brackets. Significance of the differences is shown on the right of the table: an asterisk in the corresponding column (left to right: LOT-R; α/(α+β) which defines where the prior is centered; γ is the softmax decision parameter) indicates a p value less than 0.05 for a t-test between optimists and pessimists.</p
<p>The values are given as posterior mean estimate plus posterior standard deviation (sd). The diffe...
The dashed blue lines indicate the mean and median, respectively, used for the specification of the ...
BF10 = Bayes Factor (where 10 refers to the alternative hypothesis, H1, relative to the null hypothe...
<p>Each value reported in the column shows mean values for different RL models (left to right: RL<su...
The numbers in parentheses denote uncertainty in the last digit, which are standard deviations estim...
<p>For each model, the third column indicates the set of parameters assumed to vary across value con...
<p>Each bar represents the group-averaged optimality index for a specific session, for each prior (i...
<p><b>AB</b> Subjects are assumed to use each model with some probability. The coloured regions repr...
<p>p<sub>C</sub>, prior common-source probability; σ<sub>P</sub>, standard deviation of the spatial ...
<p>Bayesian Information Criterion (), summed across participants (<i>N</i> = 30) for the alternative...
BF10 = Bayes Factor (where 10 refers to the alternative hypothesis, H1, relative to the null hypothe...
<p><b>a</b>: Each column represents a subject, divided by test group (all datasets include a Gaussia...
<div><p>(A–C) The red, magenta, and blue curves and data points indicate respective quantities assoc...
The difference column is the mean of the Gaussian of the winners (class 1) minus the mean of the Gau...
<p>(A) Median percentage of choices of the option with the higher expected value, separately for the...
<p>The values are given as posterior mean estimate plus posterior standard deviation (sd). The diffe...
The dashed blue lines indicate the mean and median, respectively, used for the specification of the ...
BF10 = Bayes Factor (where 10 refers to the alternative hypothesis, H1, relative to the null hypothe...
<p>Each value reported in the column shows mean values for different RL models (left to right: RL<su...
The numbers in parentheses denote uncertainty in the last digit, which are standard deviations estim...
<p>For each model, the third column indicates the set of parameters assumed to vary across value con...
<p>Each bar represents the group-averaged optimality index for a specific session, for each prior (i...
<p><b>AB</b> Subjects are assumed to use each model with some probability. The coloured regions repr...
<p>p<sub>C</sub>, prior common-source probability; σ<sub>P</sub>, standard deviation of the spatial ...
<p>Bayesian Information Criterion (), summed across participants (<i>N</i> = 30) for the alternative...
BF10 = Bayes Factor (where 10 refers to the alternative hypothesis, H1, relative to the null hypothe...
<p><b>a</b>: Each column represents a subject, divided by test group (all datasets include a Gaussia...
<div><p>(A–C) The red, magenta, and blue curves and data points indicate respective quantities assoc...
The difference column is the mean of the Gaussian of the winners (class 1) minus the mean of the Gau...
<p>(A) Median percentage of choices of the option with the higher expected value, separately for the...
<p>The values are given as posterior mean estimate plus posterior standard deviation (sd). The diffe...
The dashed blue lines indicate the mean and median, respectively, used for the specification of the ...
BF10 = Bayes Factor (where 10 refers to the alternative hypothesis, H1, relative to the null hypothe...