All the models included here have their drift-rate modulated by the cumulative sum of rewards, while their thresholds and starting-point could be either fixed (not modulated), or modulated by either the decision number or the cumulative sum of rewards. Lower WAICs indicate better fits to data after accounting for model complexity. The bars represent the estimated WAICse. **Best model. *These models do not fit credibly worse than the best model.</p
We present new findings that distinguish drift diffusion models (DDMs) from the linear ballistic acc...
We present new findings that distinguish drift diffusion models (DDMs) from the linear ballistic acc...
We present new findings that distinguish drift diffusion models (DDMs) from the linear ballistic acc...
Table A: Model comparison of diffusion decision models (DDM) based on WAIC (data: Experiment 2). Not...
(A/B) Scatter plots for true compared to recovered w-parameter (estimating model-based/free trade of...
For many years the Diffusion Decision Model (DDM) has successfully accounted for behavioral data fro...
The drift diffusion model (DDM) is a prominent account of how people make decisions. Many of these d...
For many years the Diffusion Decision Model (DDM) has successfully accounted for behavioral data fro...
For many years the Diffusion Decision Model (DDM) has successfully accounted for behavioral data fro...
For many years the Diffusion Decision Model (DDM) has successfully accounted for behavioral data fro...
For many years the Diffusion Decision Model (DDM) has successfully accounted for behavioral data fro...
For many years the Diffusion Decision Model (DDM) has successfully accounted for behavioral data fro...
For many years the Diffusion Decision Model (DDM) has successfully accounted for behavioral data fro...
For many years the Diffusion Decision Model (DDM) has successfully accounted for behavioral data fro...
Response time and accuracy are fundamental measures of behavioral science, but discerning participan...
We present new findings that distinguish drift diffusion models (DDMs) from the linear ballistic acc...
We present new findings that distinguish drift diffusion models (DDMs) from the linear ballistic acc...
We present new findings that distinguish drift diffusion models (DDMs) from the linear ballistic acc...
Table A: Model comparison of diffusion decision models (DDM) based on WAIC (data: Experiment 2). Not...
(A/B) Scatter plots for true compared to recovered w-parameter (estimating model-based/free trade of...
For many years the Diffusion Decision Model (DDM) has successfully accounted for behavioral data fro...
The drift diffusion model (DDM) is a prominent account of how people make decisions. Many of these d...
For many years the Diffusion Decision Model (DDM) has successfully accounted for behavioral data fro...
For many years the Diffusion Decision Model (DDM) has successfully accounted for behavioral data fro...
For many years the Diffusion Decision Model (DDM) has successfully accounted for behavioral data fro...
For many years the Diffusion Decision Model (DDM) has successfully accounted for behavioral data fro...
For many years the Diffusion Decision Model (DDM) has successfully accounted for behavioral data fro...
For many years the Diffusion Decision Model (DDM) has successfully accounted for behavioral data fro...
For many years the Diffusion Decision Model (DDM) has successfully accounted for behavioral data fro...
Response time and accuracy are fundamental measures of behavioral science, but discerning participan...
We present new findings that distinguish drift diffusion models (DDMs) from the linear ballistic acc...
We present new findings that distinguish drift diffusion models (DDMs) from the linear ballistic acc...
We present new findings that distinguish drift diffusion models (DDMs) from the linear ballistic acc...