A Hierarchical Bayesian Analysis of Memory Load Effects on Visual Working Memory Precision
This study employs hierarchical Bayesian modeling on a public visual working memory dataset to demonstrate that memory precision decreases systematically with increased load, revealing substantial individual variability and showing that a nonlinear model outperforms linear alternatives in capturing these effects.