Ten simple rules for the computational modeling of behavioral data

Computational modeling of behavioral data has revolutionized psychology and neuroscience. By fitting models to experimental data we can probe the algorithms underlying behavior, find neural correlates of computational variables and more precisely understand the effects of drugs, illness and interventions. But with great power comes great responsibility. In this note we give ten simple rules to ensure that computational modeling is used with care.