文章基本信息

标题：Toward a Dynamic Probabilistic Model for Vestibular Cognition
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作者：Ellis, Andrew W. ; Mast, Fred W.
期刊名称：Frontiers in Psychology
电子版ISSN：1664-1078
出版年度：2017
卷号：8
页码：138-144
DOI：10.3389/fpsyg.2017.00138
出版社：Frontiers Media
摘要：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.
关键词：Mental Imagery; mental simulation; Spatial Perspective Taking; Self motion perception; Particle Filters; computational modeling; Probabilistic Modeling; Bayesian inference; Monte Carlo simulation; vestibular system; spatial cognition; probabilistic cognition