Bayesian comparison of explicit and implicit causal inference strategies in multisensory heading perception.

ABSTRACT: The precision of multisensory perception improves when cues arising from the same cause are integrated, such as visual and vestibular heading cues for an observer moving through a stationary environment. In order to determine how the cues should be processed, the brain must infer the causal relationship underlying the multisensory cues. In heading perception, however, it is unclear whether observers follow the Bayesian strategy, a simpler non-Bayesian heuristic, or even perform causal inference at all. We developed an efficient and robust computational framework to perform Bayesian model comparison of causal inference strategies, which incorporates a number of alternative assumptions about the observers. With this framework, we investigated whether human observers' performance in an explic

SUBMITTER: Acerbi L 

PROVIDER: S-EPMC6063401 | biostudies-literature | 2018 Jul

REPOSITORIES: biostudies-literature