S1 Table - Seeing what you hear: Compression of rat visual perceptual space by task-irrelevant sounds

Posterior summary statistics for the key population-level parameters of the model. The columns represent the posterior mean (mean), posterior standard deviation (sd), the 3% and 97% boundaries of the Highest Density Interval (hdi_3%, hdi_97%), as well as a number of standard diagnostics for MCMC-based Bayesian inference, namely the Monte Carlo Standard Error for the mean and standard deviation (mcse_mean, mcse_sd) [58], the bulk and tail Effective Sample Size (ess_bulk, ess_tail) [65], and the R-hat convergence diagnostic (r_hat) [65]. All diagnostics were computed with ArviZ version 0.15.1 [66]. Note that the values are not population parameters in the same hierarchical sense as the others; instead, they represent the simple average of the individual rat ϵ values estimated, as the ϵ parameters were modeled without a group-level distribution. (CSV)