Fig 1.
The illustration of one trial.
Fig 2.
The three-stage model for time reproduction.
Fig 3.
The production time for a typical subject.
(A) The 0.8-s sample time interval condition. (B) The 1.2-s condition. Gray dots stand for production time for every trial. Black spots connected with black lines show the mean for each distance condition. Red lines indicate the values of sample time intervals, green lines indicate the production time when the two targets are at the same location, and blue lines indicate mean production time of a treatment.
Fig 4.
The production time for all participants and the Bayesian models.
Left: the 0.8-s sample time interval condition; Right: the 1.2-s condition. (A) The classical model. (B) The slowness model with the Vernier resolution. (C) The slowness model with the grating resolution. Black spots connected with black lines show the mean response of all participants. Red, green and blue lines represent the mean response of the Bayesian models. The error bar and shadow indicate one standard error.
Table 1.
Best-fitting parameter values of the classical model for each of nine participants.
Table 2.
Best-fitting parameter values of the slowness model with the Vernier (SMV) and grating (SMG) resolutions for each of nine participants.
Table 3.
Model comparison for each of nine participants.
Fig 5.
Predictions of the classical (red) and the slowness (green) models.
Bottom: the 0.8-s sample time interval condition; Top: the 1.2-s condition. The shadow indicates one standard error.
Table 4.
Mean and standard error of response biases in the left, central and right visual fields for nine participants.