Accumulation of Inertial Sensory Information in the Perception of Whole Body Yaw Rotation

Nesti, Alessandro; Winkel, Ksander N. de; Bülthoff, HH

doi:10.1371/journal.pone.0170497

Cited by 8 publications

(3 citation statements)

References 45 publications

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“…However, participants did not complain about the body and leg posture. In addition, similar setups were used previously, in which the body posture was considered seated and not unusual (e.g., de Winkel et al 2018 ; Nesti et al 2017 ). Another concern is related to less accurate body orientation perception in a seated posture (Israël and Giannopulu 2012 ) when compared with situations with outstretched legs (e.g., as during normal standing or lying down with non-bended legs) (Cohen and Larson 1974 ).…”

Section: Discussionmentioning

confidence: 99%

Body-relative horizontal–vertical anisotropy in human representations of traveled distances

et al. 2018

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A growing number of studies investigated anisotropies in representations of horizontal and vertical spaces. In humans, compelling evidence for such anisotropies exists for representations of multi-floor buildings. In contrast, evidence regarding open spaces is indecisive. Our study aimed at further enhancing the understanding of horizontal and vertical spatial representations in open spaces utilizing a simple traveled distance estimation paradigm. Blindfolded participants were moved along various directions in the sagittal plane. Subsequently, participants passively reproduced the traveled distance from memory. Participants performed this task in an upright and in a 30° backward-pitch orientation. The accuracy of distance estimates in the upright orientation showed a horizontal–vertical anisotropy, with higher accuracy along the horizontal axis compared with the vertical axis. The backward-pitch orientation enabled us to investigate whether this anisotropy was body or earth-centered. The accuracy patterns of the upright condition were positively correlated with the body-relative (not the earth-relative) coordinate mapping of the backward-pitch condition, suggesting a body-centered anisotropy. Overall, this is consistent with findings on motion perception. It suggests that the distance estimation sub-process of path integration is subject to horizontal–vertical anisotropy. Based on the previous studies that showed isotropy in open spaces, we speculate that real physical self-movements or categorical versus isometric encoding are crucial factors for (an)isotropies in spatial representations.

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Section: Discussionmentioning

confidence: 99%

Body-relative horizontal–vertical anisotropy in human representations of traveled distances

et al. 2018

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“…This is in stark contrast with most existing evidence accumulation modeling work, which has emphasized stationary evidence (in part because this enables computationally efficient model-fitting [30]), with the rate of evidence in the model typically fitted as a free parameter per experimental condition, without a mechanistic link to the properties of the external stimulus. We and others have begun exploring accumulation models of which the input evidence instead scales directly with external sensory data, in tasks such as stick-balancing [31], visual and vestibular judgment of self-motion [32][33][34], longitudinal and lateral control in car driving [29,[35][36][37][38], and road-crossing decisions [39,40], but these studies have so far not performed model testing and selection at the same level of detail as is typical in the broader evidence accumulation model literature.…”

Section: Introductionmentioning

confidence: 99%

Accumulation of continuously time-varying sensory evidence constrains neural and behavioral responses in human collision threat detection

et al. 2021

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Evidence accumulation models provide a dominant account of human decision-making, and have been particularly successful at explaining behavioral and neural data in laboratory paradigms using abstract, stationary stimuli. It has been proposed, but with limited in-depth investigation so far, that similar decision-making mechanisms are involved in tasks of a more embodied nature, such as movement and locomotion, by directly accumulating externally measurable sensory quantities of which the precise, typically continuously time-varying, magnitudes are important for successful behavior. Here, we leverage collision threat detection as a task which is ecologically relevant in this sense, but which can also be rigorously observed and modelled in a laboratory setting. Conventionally, it is assumed that humans are limited in this task by a perceptual threshold on the optical expansion rate–the visual looming–of the obstacle. Using concurrent recordings of EEG and behavioral responses, we disprove this conventional assumption, and instead provide strong evidence that humans detect collision threats by accumulating the continuously time-varying visual looming signal. Generalizing existing accumulator model assumptions from stationary to time-varying sensory evidence, we show that our model accounts for previously unexplained empirical observations and full distributions of detection response. We replicate a pre-response centroparietal positivity (CPP) in scalp potentials, which has previously been found to correlate with accumulated decision evidence. In contrast with these existing findings, we show that our model is capable of predicting the onset of the CPP signature rather than its buildup, suggesting that neural evidence accumulation is implemented differently, possibly in distinct brain regions, in collision detection compared to previously studied paradigms.

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“…Stimuli were presented using an eMotion 1500 hexapod motion system (Bosch Rexroth AG, Lohr am Main, Germany) available in our laboratory (Nesti et al 2017;de Winkel et al 2017. The platform was controlled using Simulink software (The MathWorks, Inc., Natick, MA, USA).…”

Section: Setupmentioning

confidence: 99%

The role of acceleration and jerk in perception of above-threshold surge motion

2020

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Inertial motions may be defined in terms of acceleration and jerk, the time-derivative of acceleration. We investigated the relative contributions of these characteristics to the perceived intensity of motions. Participants were seated on a high-fidelity motion platform, and presented with 25 above-threshold 1 s forward (surge) motions that had acceleration values ranging between 0.5 and 2.5 m/s 2 and jerks between 20 and 60 m/s 3 , in five steps each. Participants performed two tasks: a magnitude estimation task, where they provided subjective ratings of motion intensity for each motion, and a two-interval forced choice task, where they provided judgments on which motion of a pair was more intense, for all possible combinations of the above motion profiles. Analysis of the data shows that responses on both tasks may be explained by a single model, and that this model should include acceleration only. The finding that perceived motion intensity depends on acceleration only appears inconsistent with previous findings. We show that this discrepancy can be explained by considering the frequency content of the motions, and demonstrate that a linear time-invariant systems model of the otoliths and subsequent processing can account for the present data as well as for previous findings.

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Accumulation of Inertial Sensory Information in the Perception of Whole Body Yaw Rotation

Cited by 8 publications

References 45 publications

Body-relative horizontal–vertical anisotropy in human representations of traveled distances

Body-relative horizontal–vertical anisotropy in human representations of traveled distances

Accumulation of continuously time-varying sensory evidence constrains neural and behavioral responses in human collision threat detection

The role of acceleration and jerk in perception of above-threshold surge motion

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