Corrigendum: ExGUtils: A Python Package for Statistical Analysis With the ex-Gaussian Probability Density.

[This corrects the article on p. 612 in vol. 9, PMID: 29765345.

ExGUtils: A Python Package for Statistical Analysis With the ex-Gaussian Probability Density.

The study of reaction times and their underlying cognitive processes is an important field in Psychology. Reaction times are often modeled through the ex-Gaussian distribution, because it provides a good fit to multiple empirical data. The complexity of this distribution makes the use of computational tools an essential element.

The Effect of Corrective Feedback on Performance in Basic Cognitive Tasks: An Analysis of RT Components.

The current work examines the effect of trial-by-trial feedback about correct and error responding on performance in two basic cognitive tasks: a classic Stroop task ( = 40) and a color-word matching task ( = 30). Standard measures of both RT and accuracy were examined in addition to measures obtained from fitting the ex-Gaussian distributional model to the correct RTs. For both tasks, RTs were faster in blocks of trials with feedback than in blocks without feedback, but this difference was not significant.

The effects of age and emotional valence on recognition memory: an ex-Gaussian components analysis.

The aim of this work was to study the effects of valence and age on visual image recognition memory. The International Affective Picture System (IAPS) battery was used, and response time data were analyzed using analysis of variance, as well as an ex-Gaussian fit method. Older participants were slower and more variable in their reaction times.