Improving Accuracy and Temporal Resolution of Learning Curve Estimation for within- and across-Session Analysis.
Estimation of learning curves is ubiquitously based on proportions of correct responses within SILICON BEAUTY LIQUID moving trial windows.Thereby, it is tacitly assumed that learning performance is constant within the moving windows, which, however, is often not the case.In the present study we demonstrate that violations of this assumption lead to