Ten simple rules for computational modeling of behavioral data

"The goal of computational modelling in the behavioural sciences is to use precise mathematical models to make better sense of data concerning behaviours. These data often come in the form of choices, but can also include reaction times, eye movements and other behaviours that are easy to observe, and even neural data. The mathematical models consist of equations that link the variables behind the data, such as stimuli and past experiences, to behaviour in the immediate future. In this way, computational models provide a kind of hypothesis about how behaviour is generated."