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. 2017 Jul 20;25(3):971–996. doi: 10.3758/s13423-017-1340-6

Table 1.

Set of studies and drifts used to generate optimal policies

Study Paradigm Conditions Distribution Drifts ({𝜖 1𝜖 n})
PHS_05
Motion 0%,3.2%,6.4%, Uniform 0,0.03,0.05,
12.8%,25.6%,51.2% 0.10,0.20,0.40
RTM_01
Distance 32 values Uniform 17 values
Range: [1.7, 2.4] cm Range: [0, 0.50]
R_07
Brightness Bright:2%,35%,45%, Uniform {0.05, 0.10, 0.20}
Dark:55%,65%,98%
RM_08
Motion 5%,10%,15%, Uniform 0.04,0.07,0.10
25%,35%,50% 0.15,0.20,0.30
MS_14
Color 35%,42%,46%, Uniform {0, 0.05, 0.10, 0.20}
50%,54%,58%,65%
VRS_16: E1
Numerosity Range: [21, 80] Piecewise 0,0.02,0.04,0.06
Uniform 0.30,0.32,0.34,0.36
VRS_16: E2
Numerosity Range: [3, 98] Approximately {0, 0.05,…, 0.50}
Gaussian
VRS_16: E3
Numerosity Range: [31, 70] Uniform {0, 0.02,…, 0.20}
VRS_16: E4
Numerosity Range: [3, 98] Uniform {0, 0.02,…, 0.48}

Notes. Each row shows the set of conditions used in the experiment, the distribution of these conditions across trials and the set of drift parameters used to compute optimal policies in Fig. 11. The value given to a condition refers to the motion coherence for the motion discrimination task, to the separation of dots for the distance judgment task, to the proportion of black pixels for the brightness discrimination task, to the percentage of cyan to magenta checkers for the color judgment task and to the number of asterisks for the numerosity judgment task. For the computation

VRS_16: E2

, the probability of each drift value 𝜖 was equal to 1ZN(𝜖;μ,σ), where N() is the probability density of the normal distribution with μ = 0, and standard deviation σ = 0.21 and Z is a normalization factor ensuring that the probabilities add up to 1. The names of studies are abbreviated as follows

PHS_05:

(Palmer, Huk, & Shadlen, 2005),

RTM_01:

(Ratcliff, Thapar, & McKoon, 2001),

R_07:

(Ratcliff, Hasegawa, Hasegawa, Smith, & Segraves, 2007),

RM_08:

(Ratcliff & McKoon, 2008),

MS_14:

(Middlebrooks & Schall, 2014),

VRS_16:

(Voskuilen et al., 2016) with

E1

E4

standing for Experiments 1 … 4, respectively.