Automated Modeling of Human Information Processing with Differentiable Architecture Search

Psychologists and neuroscientists are beginning to accumulate increasing amounts of behavioral data without having the temporal or monetary resources to integrate these data into quantitative models of cognitive function. Here, we evaluate the use of neural architecture search for the automated identification of scientific models, to explain human information processing.