Topic: dynamic Bayesian actor model

Navigation has long been recognized as one of the most fundamental behaviors in animals and humans. While much has been learned by studying navigation behaviorally and its neuronal underpinnings, there is no comprehensive computational account of the uncertainty and variability governing navigation. Current ideal observer models of navigation frame navigation in terms of perceptual cue integration but omit planning and sequential control and, therefore, cannot explain how trajectories and their endpoint variability arise. Because a vast array of natural sensorimotor behaviors in humans, includ