<p>The first row shows how a strongly bimodal distribution would be represented by each type of prior after training, with the categorical distribution reflecting the true prior distribution. The remaining rows of plots each show conditional response distributions (CRDs), in which the area of each square represents the expected response probability given a particular presented number of dots. The prior in the first row is combined with each row’s decision function to produce the CRDs.</p
<p><b>(Top)</b>. Estimated time course of Category Chain performance for individual participants (gr...
<p>(A) The distribution of the difference in covariance orientation angle between pairs of elements ...
Probabilities for each of the five response alternatives conditional on each of six possible prior l...
<p>Each group of participants is in a separate row. The left column of plots shows the probability w...
<p>Each panel shows the pooled subjects' responses as a function of the position of the cue either f...
<p>Each panel shows the (unnormalized) probability density for a ‘prior’ distribution of targets, gr...
<p>(a) The category distributions over tone-burst frequency are piecewise uniform, such that all fre...
<p>Rows distinguish the responses from and predictions for each subject. Columns distinguish the thr...
<p>Observed data are shown by coloured histograms. Lightly shaded histrograms represent correct resp...
AbstractIn this article, we model multivariate categorical (binary and ordinal) response data using ...
<p>(a–d) Boxplots depicting the range of (a) the fitted means for the category- distribution; (b) th...
The four stimuli can map one-to-one onto the four responses in 24 different ways, depicted by the 24...
<p><i>Top row:</i> Short Uniform (red) and Long Uniform (green) blocks. <i>Bottom row:</i> Medium Un...
There are several approaches to setting priors in Bayesian data analysis. Some attempt to minimize t...
<p>The top row shows the aggregated posterior predictive distribution (densities) overlaid on the ag...
<p><b>(Top)</b>. Estimated time course of Category Chain performance for individual participants (gr...
<p>(A) The distribution of the difference in covariance orientation angle between pairs of elements ...
Probabilities for each of the five response alternatives conditional on each of six possible prior l...
<p>Each group of participants is in a separate row. The left column of plots shows the probability w...
<p>Each panel shows the pooled subjects' responses as a function of the position of the cue either f...
<p>Each panel shows the (unnormalized) probability density for a ‘prior’ distribution of targets, gr...
<p>(a) The category distributions over tone-burst frequency are piecewise uniform, such that all fre...
<p>Rows distinguish the responses from and predictions for each subject. Columns distinguish the thr...
<p>Observed data are shown by coloured histograms. Lightly shaded histrograms represent correct resp...
AbstractIn this article, we model multivariate categorical (binary and ordinal) response data using ...
<p>(a–d) Boxplots depicting the range of (a) the fitted means for the category- distribution; (b) th...
The four stimuli can map one-to-one onto the four responses in 24 different ways, depicted by the 24...
<p><i>Top row:</i> Short Uniform (red) and Long Uniform (green) blocks. <i>Bottom row:</i> Medium Un...
There are several approaches to setting priors in Bayesian data analysis. Some attempt to minimize t...
<p>The top row shows the aggregated posterior predictive distribution (densities) overlaid on the ag...
<p><b>(Top)</b>. Estimated time course of Category Chain performance for individual participants (gr...
<p>(A) The distribution of the difference in covariance orientation angle between pairs of elements ...
Probabilities for each of the five response alternatives conditional on each of six possible prior l...