Extended Data Fig. 5: Model diagnostics and details of FOF fits.
From: The rat frontal orienting field dynamically encodes value for economic decisions under risk
a. 3-agent model fits to synthetic data where we simulated Δρ = − 0.5 (top row) or Δω1 = − 1 and Δω2 = − 3. The 3-agent model correctly captures control (grey) and perturbed (purple) parameters (n = 20 simulated subjects, the dark line and error band represent the linear fit of the parameters and 95% confidence intervals). b. The posterior distributions of the raw model parameters (see Methods for definitions of ϕ, ψ, ω1, ω2, A star (*) indicates that 97.5% of the posterior was not overlapping with 0. Bi-Opto: n = 5 rats, Uni-Opto: n = 8 rats, Bi-Muscimol: n = 8 rats, Uni-Muscimol: n = 8 rats). c-f. Two-dimensional joint posteriors of the perturbation parameters (Bi-Opto: n = 5 rats, Uni-Opto: n = 8 rats, Bi-Muscimol: n = 8 rats, Uni-Muscimol: n = 8 rats). c,d. Although, there is a small trade-off between changes in parameters, the tight overall distribution of Δϕ indicates a high degree of confidence of a change in ρ (Eq. (46)). e. The posteriors for the bilateral muscimol experiment suggest that there are two possible explanations for the data. Either there was a shift in ρ or there was a shift in the mixing fraction ω. f. As in d but for muscimol silencing.
