Decision prioritization and causal reasoning in decision hierarchies
Fig 4
A simple detection model explains the motion choices.
(A) Distributions from which the momentary motion evidence were sampled. The momentary motion evidence is normally distributed, with mean and variance that scale linearly with motion strength. The sign of the mean depends on motion direction. The slopes were fit independently for each participant (here we show the distributions from participant 1). The decision is made comparing an evidence sample against two criteria located at ±Φ. The criterion is given by the product of a base criterion, ϕℓ, and a term that decays exponentially with the number of successive queries made at the node (nq). (B) Base criterion for every participant and level of the decision tree, obtained from the best-fitting model. (C) The criterion, Φ, approaches zero exponentially as the number of successive queries at a node (nq) increases. Decay rate is determined by λ. Each curve depicts the best-fitting exponential function for each participant. (D) Frequency of re-queries, as a function of the number of previous successive queries at the node (nq). This proportion decreases with nq and with the level of the decision in the tree (indicated by the different colors). Solid lines are predictions from the detection model. Only the lower motion strengths (below 25.6%) were included in this analysis. Error bars indicate s.e.m. across participants.