title: Toward a Dynamic Probabilistic Model for Vestibular Cognition.
abstract: We suggest that research in vestibular cognition will benefit from the theoretical framework of probabilistic models. This will aid in developing an understanding of how interactions between high-level cognition and low-level sensory processing might occur. Many such interactions have been shown experimentally; however, to date, no attempt has been made to systematically explore vestibular cognition by using computational modeling. It is widely assumed that mental imagery and perception share at least in part neural circuitry, and it has been proposed that mental simulation is closely connected to the brain's ability to make predictions. We claim that this connection has been disregarded in the vestibular domain, and we suggest ways in which future research may take this into consideration.
authors.affiliation: Department of Psychology, University of Bern Bern, Switzerland.
authors.forename: Andrew W
authors.initials: AW
authors.lastname: Ellis
authors.affiliation: Department of Psychology, University of Bern Bern, Switzerland.
authors.forename: Fred W
authors.initials: FW
authors.lastname: Mast
keywords: computational modeling; mental imagery; mental simulation; particle filters; self-motion perception; spatial cognition; spatial perspective taking