Deep Neural Networks As Test Subjects for Psychological Experiments

Simple models with few parameters are interpretable but poor at predicting behaviors outside controlled lab settings. However, complex models are less interpretable but predictive of ecologically valid behaviors.We show that a combination of experimental controls and ecologically valid tasks can be used to elucidate both complex behaviors and models.