Marcelo G. Mattar

1 week ago | biorxiv.org | Hua-Dong Xiong |Li Ji-An |Marcelo G. Mattar |Robert Wilson

AbstractCognitive modeling provides a formal method to articulate and test hypotheses about cognitive processes. However, accurately and reliably estimating model parameters remains challenging due to common issues in behavioral science, such as limited data, measurement noise, experimental constraints, and model complexity. These challenges hinder the interpretability of parameters in both behavioral and neural data.