A Bayesian Attractor Model for Perceptual Decision Making
Fig 7
Re-decision behaviour of Bayesian attractor model for switching stimuli.
Noisy exemplars of alternative 1 (blue) and subsequently of alternative 2 (orange) were shown with a switch at 800ms (cf. Fig 2). For varying combinations of sensory uncertainty r and dynamics uncertainty q we plotted the mean (over 1000 trials) percentage of time spent in the correct decision state (grey shading). (A-C) Bottom panels show three example trials for the parameter combinations indicated by the corresponding points in the main panel. Top row: decision state, bottom row: confidence (log-scale) with threshold (grey, dashed line). A: fast, but sometimes fickle re-decisions, B: slower but reliable re-decisions, C: no re-decisions. For point A the mean % time spent in the correct decision is larger, because decision and re-decisions are on average faster. The overall level of confidence reached increases from A to C, as previously shown in Fig 4.