Prior predictive simulation of the model.

<p>In black the average proportion of answers "High" of the rats. Error bars denote the s.e.m. across all rats. Each colored line is the average predicted psychometric curve obtained for one of the five noise condition, generated by parameters sampled from its respective prior distri...

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Main Author: Mattia Zanzi (22522006) (author)
Other Authors: Francesco G. Rinaldi (22522009) (author), Silene Fornasaro (22522012) (author), Eugenio Piasini (8168934) (author), Davide Zoccolan (443652) (author)
Published: 2025
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Summary:<p>In black the average proportion of answers "High" of the rats. Error bars denote the s.e.m. across all rats. Each colored line is the average predicted psychometric curve obtained for one of the five noise condition, generated by parameters sampled from its respective prior distributions. The <i>γ</i> and <i>σ</i> parameters are drawn from the population average parameters; the <i>ϵ</i> parameters, given the absence of a hierarchical structure, are averaged across all rats. The shaded areas represent one (dark area) and two (dim area) standard deviations from the mean. The five curves all look almost identical (up to sampling noise) as the priors for the noise conditions were the same.</p> <p>(PNG)</p>