The average bias (BIAS), variance (VAR), and root-mean-square-error (RMSE) of the end state distributions in the target drift-diffusion model (DDM) and the corresponding recurrent neural network (RNN).

Results are shown for 2D ring manifolds with different numbers of fixed points (nfp). For both models, the nfp condition associated with the lowest RMSE is underlined.