Multisensory Integration of Visual and Vestibular Signals Improves Heading Discrimination in the Presence of a Moving Object

Dokka, Kalpana; DeAngelis, Gregory C.; Angelaki, Dora E.

doi:10.1523/jneurosci.2267-15.2015

Cited by 53 publications

(70 citation statements)

References 53 publications

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“…To quantify the effects of object and self-motion parameters, a repeated-measures ANOVA, having object motion speed, object motion direction, and self-motion type as factors, was applied to the following dependent variables: proportion of object stationary reports, bias in perceived heading, and heading discrimination thresholds. For statistical analyses, heading biases obtained with leftward object motion were multiplied by −1, such that expected biases had the same sign for both directions of object motion (18,24). Results were consistent across 14 human subjects, as summarized in Fig.…”

Section: Significancementioning

confidence: 74%

“…When a moving observer views a scene containing moving objects, visual perception faces an interpretational challenge: motion of an object on the retina could be due to independent movement of the object relative to the scene, to the observer's self-motion, or to many different combinations of object and observer motion. Indeed, it is well established that moving objects can bias self-motion (heading) perception (18)(19)(20)(21)(22)(23). Conversely, an observer's self-motion can also bias perception of object trajectory (24)(25)(26)(27).…”

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confidence: 99%

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Causal inference accounts for heading perception in the presence of object motion

Dokka

Park

Jansen

et al. 2019

Proc. Natl. Acad. Sci. U.S.A.

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The brain infers our spatial orientation and properties of the world from ambiguous and noisy sensory cues. Judging self-motion (heading) in the presence of independently moving objects poses a challenging inference problem because the image motion of an object could be attributed to movement of the object, self-motion, or some combination of the two. We test whether perception of heading and object motion follows predictions of a normative causal inference framework. In a dual-report task, subjects indicated whether an object appeared stationary or moving in the virtual world, while simultaneously judging their heading. Consistent with causal inference predictions, the proportion of object stationarity reports, as well as the accuracy and precision of heading judgments, depended on the speed of object motion. Critically, biases in perceived heading declined when the object was perceived to be moving in the world. Our findings suggest that the brain interprets object motion and self-motion using a causal inference framework.

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Section: Significancementioning

confidence: 74%

mentioning

confidence: 99%

Causal inference accounts for heading perception in the presence of object motion

Dokka

Park

Jansen

et al. 2019

Proc. Natl. Acad. Sci. U.S.A.

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“…Thus, visual self-motion perception (a skill which is vital for proficient balance and gait) seems specifically impaired in PD. This might reflect the higher complexity of perceptual processing required to differentiate one's own motion from motion of objects in the environment (Dokka et al, 2015) and/or the 3D nature of our stimuli and experiment.…”

Section: Discussionmentioning

confidence: 99%

Visual self-motion cues are impaired in Parkinson’s disease yet over-weighted during visual-vestibular integration

Yakubovich

Israeli‐Korn

Halperin

et al. 2019

Preprint

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Background: Parkinson's disease (PD) is prototypically a movement disorder.Although perceptual and motor functions are interdependent, much less is known about perceptual dysfunction in PD. Perceptual deficits can impact activities of daily living, and contribute to motor symptoms, but might go unnoticed if not tested directly. Posture, gait and balance, affected in PD, rely on veridical perception of one's own motion in space. Yet it is unknown whether self-motion perception is impaired in PD. Objectives:To test self-motion perception in PD, separately for visual and vestibular cues (unisensory), and multisensory integration thereof.Methods: Participants (19 early stage PD, 23 age-matched and 20 young adult controls) experienced vestibular (motion platform), visual (optic flow), and combined visual-vestibular self-motion stimuli, and discriminated whether the stimulus headings were rightward or leftward of straight ahead. PD participants and age-matched controls were tested on two visits (PD on and off medication).Results: PD participants had significantly impaired visual self-motion perception, both on and off medication. This deficit correlated significantly with clinical disease severity. By contrast, their vestibular performance was unimpaired. Remarkably, despite impaired visual self-motion perception, PD participants significantly overweighted visual cues during multisensory (visual-vestibular) integration. Conclusions:Self-motion perception is affected already in early stage PD, specifically by impaired visual (vs. vestibular) function, and by suboptimal visualvestibular integration. This may contribute to impaired balance and gait control. Future investigation into this connection might open up new avenues for alternativetherapies to better treat these symptoms. Furthermore, these results may also impact early PD diagnosis and subtyping.

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“…Subjects had no previous history of neurological disorders Apparatus. Details of the experimental apparatus have been previously 755 published and are only described here briefly (Dokka et al, 2015;Dokka, MacNeilage, DeAngelis, & Angelaki, 2011;Fetsch et al, 2009;MacNeilage, Zhang, DeAngelis, & Angelaki, 2012). Subjects were seated comfortably in a cockpit-style chair and were protectively restrained with a 5-point racing safety harness.…”

Section: Human Psychophysicsmentioning

confidence: 99%

Bayesian Comparison of Explicit and Implicit Causal Inference Strategies in Multisensory Heading Perception

Acerbi

Dokka

Angelaki

et al. 2017

Preprint

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The precision of multisensory heading perception improves when visual and vestibular cues arising from the same cause, namely motion of the observer through a stationary environment, are integrated. Thus, 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 explicit cause attribution and an implicit heading discrimination task can be modeled as a causal inference process. In the explicit inference task, all subjects accounted for cue disparity when reporting judgments of common cause, although not necessarily all in a Bayesian fashion. By contrast, but in agreement with previous findings, data from the heading discrimination task only could not rule out that several of the same observers were adopting a forced-fusion strategy, whereby cues are integrated regardless of disparity. Only when we combined evidence from both tasks we were able to rule out forced-fusion in the heading discrimination task. Crucially, findings were robust across a number of variants of models and analyses. Our results demonstrate that our proposed computational framework allows researchers to ask complex questions within a rigorous Bayesian framework that accounts for parameter and model uncertainty.

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Multisensory Integration of Visual and Vestibular Signals Improves Heading Discrimination in the Presence of a Moving Object

Cited by 53 publications

References 53 publications

Causal inference accounts for heading perception in the presence of object motion

Causal inference accounts for heading perception in the presence of object motion

Visual self-motion cues are impaired in Parkinson’s disease yet over-weighted during visual-vestibular integration

Bayesian Comparison of Explicit and Implicit Causal Inference Strategies in Multisensory Heading Perception

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