Erwin Haasnoot

TL;DR: This work uses an observational sample of players of a simple online game to trace the development of skill in that game and confirms experimental evidence showing a benefit of spacing for skill learning, but fails to find any additional benefit of sleeping during a break from practice.

TL;DR: It is shown that the absence of post-cingulotomy behavioural adaptation reported in this study may have been due to practice effects, and suggested that future work using proper experimental designs is needed to advance the understanding of the causal role of the MCC in behavioural adaptation.

TL;DR: The Fast EER (FEer) algorithm is introduced, how to adapt the FEER algorithm to calculate non-parametric, bootstrapped EER CIs (FEERCI) in $O(m\log n)$ given m resamplings, and an opinionated open-source package named feerci that provides implementations of the FEer and FEERCI algorithm are introduced.

TL;DR: It is argued that more accumulated practice will lead to both more stable and increased recognition performance, and that practice in general is under-investigated, and a novel method of analysis is introduced, the Start-to-Train Interval (STI)/Train- to-Test Intervals (TTI) contour plot, which allows for systematic investigation of how recognition performance develops under increased practice.