Topic: binary segmentation

A common way of quantifying learning behavior is the estimation of learning rates from subjects’ responses. To this end responses are usually averaged across subjects when estimating learning rates for a whole group or averaged over a sliding window when estimating learning rates for single subjects. However, these methods are difficult to apply when the number of experimental subjects and/or the number of trials are too low. Furthermore, the process of averaging obscures the actual dynamics of learning, which can occur within few trials. Indeed, we found that for previous data from a contextu