Toward a Dynamic Probabilistic Model for Vestibular Cognition

Ellis, Andrew W.; Mast, Fred W. (2017). Toward a Dynamic Probabilistic Model for Vestibular Cognition. Frontiers in psychology, 8(138), pp. 1-7. Frontiers Research Foundation 10.3389/fpsyg.2017.00138

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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.

Item Type:

Journal Article (Original Article)

Division/Institute:

07 Faculty of Human Sciences > Institute of Psychology
07 Faculty of Human Sciences > Institute of Psychology > Cognitive Psychology, Perception and Methodology

UniBE Contributor:

Ellis, Andrew and Mast, Fred

Subjects:

100 Philosophy > 150 Psychology

ISSN:

1664-1078

Publisher:

Frontiers Research Foundation

Funders:

[4] Swiss National Science Foundation

Language:

English

Submitter:

Andrew William Ellis

Date Deposited:

26 Jul 2017 10:45

Last Modified:

27 Jul 2017 09:45

Publisher DOI:

10.3389/fpsyg.2017.00138

PubMed ID:

28203219

Uncontrolled Keywords:

mental imagery, mental simulation, spatial perspective taking, spatial cognition, self-motion perception, particle filters, computational modeling

BORIS DOI:

10.7892/boris.96642

URI:

https://boris.unibe.ch/id/eprint/96642

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