Magnitude-sensitive reaction times reveal non-linear time costs in multi-alternative decision-making
Fig 6
Geometric discounting of reward leads to strongly magnitude-sensitive simulated reaction times across a range of nonlinear subjective utility functions, with decisions postponed for low equal-value option sets.
Simulation parameters were: prior mean and variance
, observation noise variance
, temporal cost γ = 0.1, and simulation timestep dt = 5×10−3. Lines are the mean reaction time for 104 simulations, 95% confidence intervals are shown as red shading (mostly invisible because smaller than the linewidth). Non-decision time was implicitly zero.