Fitting drift-diffusion decision models to trial-by-trial data
This paper introduces a fast parameter estimation method for drift-diffusion models by solving a self-consistency equation, showing improved performance for complex variants and demonstrating its application to neural data.
bioRxiv · Jan 30, 2020Animal Behavior & Cognition