Model Variable	Description
ν ~ Gamma(2,0.2)	Student T degrees of freedom
η ~ Normal(0,10)+	LKJ correlation parameter
L ~ LKJCholesky(η)	Lower triangular factor
σ ~ Normal(0, 1)+	Diagonal scale of covariance
λ ~ Normal(0, 1)	Pre-transformed choice kernel time constant
π = Phi(λ)	Choice kernel time constant
Ω = LL′	Correlation Matrix
D = σ ⊙I	Scale Matrix
∑ = D ΩD	Covariance Matrix
μ ~ StudentT(ν, 0,5)	Initial prior mean
β1 ~ StudentT (ν, μ, ∑)	First session choice weight vector
βd ~ StudentT (ν, βd −1, ∑)	d’th session choice weight vector
l ~ Normal(− 2,0.5)	Pre-transformed alpha
α = softplus(l)	Scale factor on stimulus
$x_{side}=\frac{tanh\left(\alpha S\right)}{tanh\left(\alpha \right)}$	Transformed stimulus
pt,d = logistic(xt,d · βd)	Probability of right choice
yt,d ~ Bernoulli (pt,d)	Distribution over choices