A Bayesian Attractor Model for Perceptual Decision Making
Fig 4
Example trial showing evolution of confidence in alternative 1, p(zt = ϕ1∣XΔt:t) (notice log-scale and initial, very low values), for different values of dynamics uncertainty q.
Larger values of q mean that only smaller confidence values can be reached even after the decision state zt eventually settled into the stable fixed point ϕ1 (compare, e.g., confidence for q = 1 and q = 0.5 at 200ms, note log-scale). Horizontal dotted line: confidence value used as bound (λ = 0.02).