Abstract
For many years the Diffusion Decision Model (DDM) has successfully accounted for behavioral data from a wide range of domains. Important contributors to the DDM’s success are the between-trial variability parameters, which allow the model to account for the various shapes of response time distributions encountered in practice. However, several
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