Rapid re-weighting of sensory inputs and predictions in visual perception

A striking perceptual phenomenon has recently been described wherein people report seeing abrupt jumps in the location of a smoothly moving object (‘position resets’). Here, we show that this phenomenon can be understood within the framework of recursive Bayesian estimation as arising from transient gain changes, temporarily prioritising sensory input over predictive beliefs. From this perspective, position resets reveal a capacity for rapid adaptive precision weighting in human visual perception, and offer a possible testbed within which to study the timing and flexibility of sensory gain control.