Dataset Information

Intrinsic timescales of sensory integration for motion perception.

ABSTRACT: A subject-specific process of perceptual decision making is of importance to how the brain translates its interpretation of sensory information into behavior. In particular, a number of studies reported substantial variation across the observers' decision behavior, which may reflect different profiles of evidence accumulated by each individual. However, a detailed profile of perceptual integration has not yet been verified from human behavioral data. To address the issue, we precisely measured the time course of sensory integration, as the "sensory integration kernel" of subjects, using a coherence-varying motion discrimination task. We found that each subject has a distinct profile of sensory integration. We observed that kernel size (maximum sensory integration interval) is consistent within subjects, independent of external stimuli conditions. The observed kernel could accurately predict subject-specific perceptual behaviors and explain the inter-individual variation of observed behaviors. Surprisingly, the performance of most subjects did not improve in proportion to increased duration of the stimulus, but was maximized when the stimulus duration matched their kernel size. We also found that the observed kernel size was strongly correlated with the subject-specific perceptual characteristics for illusory motion. Our results suggest that perceptual decisions arise from intrinsic decision dynamics, and on individual timescales of sensory integration.

SUBMITTER: Choi W

PROVIDER: S-EPMC6408463 | biostudies-literature | 2019 Mar

REPOSITORIES: biostudies-literature

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Intrinsic timescales of sensory integration for motion perception.

Choi Woochul W Paik Se-Bum SB

Scientific reports 20190308 1

A subject-specific process of perceptual decision making is of importance to how the brain translates its interpretation of sensory information into behavior. In particular, a number of studies reported substantial variation across the observers' decision behavior, which may reflect different profiles of evidence accumulated by each individual. However, a detailed profile of perceptual integration has not yet been verified from human behavioral data. To address the issue, we precisely measured t ...[more]

PMID: 30850689

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Project description:The perception of depth from relative motion is believed to be a slow process that "builds-up" over a period of observation. However, in the case of motion parallax, the potential accuracy of the depth estimate suffers as the observer translates during the viewing period. Our recent quantitative model for the perception of depth from motion parallax proposes that relative object depth (d) can be determined from retinal image motion (d?/dt), pursuit eye movement (d?/dt), and fixation distance (f) by the formula: d/f?d?/d?. Given the model's dynamics, it is important to know the integration time required by the visual system to recover d? and d?, and then estimate d. Knowing the minimum integration time reveals the incumbent error in this process. A depth-phase discrimination task was used to determine the time necessary to perceive depth-sign from motion parallax. Observers remained stationary and viewed a briefly translating random-dot motion parallax stimulus. Stimulus duration varied between trials. Fixation on the translating stimulus was monitored and enforced with an eye-tracker. The study found that relative depth discrimination can be performed with presentations as brief as 16.6 ms, with only two stimulus frames providing both retinal image motion and the stimulus window motion for pursuit (mean range=16.6-33.2 ms). This was found for conditions in which, prior to stimulus presentation, the eye was engaged in ongoing pursuit or the eye was stationary. A large high-contrast masking stimulus disrupted depth-discrimination for stimulus presentations less than 70-75 ms in both pursuit and stationary conditions. This interval might be linked to ocular-following response eye-movement latencies. We conclude that neural mechanisms serving depth from motion parallax generate a depth estimate much more quickly than previously believed. We propose that additional sluggishness might be due to the visual system's attempt to determine the maximum d?/d? ratio for a selection of points on a complicated stimulus.

Project description:BackgroundTo counteract gravity, trunk motion, and other perturbations, the human head-neck system requires continuous muscular stabilization. In this study, we combine a musculoskeletal neck model with models of sensory integration (SI) to unravel the role of vestibular, visual, and muscle sensory cues in head-neck stabilization and relate SI conflicts and postural instability to motion sickness.MethodA 3D multisegment neck model with 258 Hill-type muscle elements was extended with postural stabilization using SI of vestibular (semicircular and otolith) and visual (rotation rate, verticality, and yaw) cues using the multisensory observer model (MSOM) and the subjective vertical conflict model (SVC). Dynamic head-neck stabilization was studied using empirical datasets, including 6D trunk perturbations and a 4 m/s2 slalom drive inducing motion sickness.ResultsRecorded head translation and rotation are well matched when using all feedback loops with MSOM or SVC or assuming perfect perception. A basic version of the model, including muscle, but omitting vestibular and visual perception, shows that muscular feedback can stabilize the neck in all conditions. However, this model predicts excessive head rotations in conditions with trunk rotation and in the slalom. Adding feedback of head rotational velocity sensed by the semicircular canals effectively reduces head rotations at mid-frequencies. Realistic head rotations at low frequencies are obtained by adding vestibular and visual feedback of head rotation based on the MSOM or SVC model or assuming perfect perception. The MSOM with full vision well captures all conditions, whereas the MSOM excluding vision well captures all conditions without vision. The SVC provides two estimates of verticality, with a vestibular estimate SVCvest, which is highly effective in controlling head verticality, and an integrated vestibular/visual estimate SVCint which can complement SVCvest in conditions with vision. As expected, in the sickening drive, SI models imprecisely estimate verticality, resulting in sensory conflict and postural instability.ConclusionThe results support the validity of SI models in postural stabilization, where both MSOM and SVC provide credible results. The results in the sickening drive show imprecise sensory integration to enlarge head motion. This uniquely links the sensory conflict theory and the postural instability theory in motion sickness causation.

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Project description:Introduction:The subjective visual vertical (SVV) measures the perception of a person's spatial orientation relative to gravity. Weighted central integration of vestibular, visual, and proprioceptive inputs is essential for SVV perception. Without any visual references and minimal proprioceptive contribution, the static SVV reflects balance of the otolith organs. Normal aging is associated with bilateral and progressive decline in otolith organ function, but age-dependent effects on SVV are inconclusive. Studies on sensory reweighting for visual vertical and multisensory integration strategies reveal age-dependent differences, but most studies have included elderly participants in comparison to younger adults. The aim of this study was to compare young adults with older adults, an age group younger than the elderly. Methods:Thirty-three young and 28 older adults (50-65 years old) adjusted a tilted line accurately to their perceived vertical. The rod's final position from true vertical was recorded as tilt error in degrees. For otolithic balance, visual vertical was recorded in the dark without any visual references. The rod and frame task (RFT) with tilted disorienting visual frames was used for creating visuovestibular conflict. We adopted Nyborg's analysis method to derive the rod and frame effect (RFE) and trial-to-trial variability measures. Rod alignment times were also analyzed. Results:There was no age difference in signed tilts of SVV without visual reference. There was an age effect on RFE and on overall trial-to-trial variability of rod tilt, with older adults displaying larger frame effects and greater variability in rod tilts. Alignment times were longer in the tilted-frame conditions for both groups and in the older adults compared to their younger counterparts. The association between tilt accuracy and tilt precision was significant for older adults only during visuovestibular conflict, revealing an increase in RFE with an increase in tilt variability. Correlation of ? SVV, which represents vestibular input precision, with RFE yielded exactly the same contribution of ? SVV to the variance in RFE for both age groups. Conclusions:Older adults have balanced otolithic input in an upright position. Increased reliance on visual cues may begin at ages younger than what is considered elderly. Increased alignment times for older adults may create a broader time window for integration of relevant and irrelevant sensory information, thus enhancing their multisensory integration. In parallel with the elderly, older adults may differ from young adults in their integration of sensory cues for visual vertical perception.

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Intrinsic timescales of sensory integration for motion perception.

Publications

Intrinsic timescales of sensory integration for motion perception.

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