ArticleeLife2022
Influence of sensory modality and control dynamics on human path integration.
Article in eLife, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
11 citing papers in PubMed.
- Modeling the journey as well as the destination: a control theory account of rotational navigation.bioRxiv : the preprint server for biology · 2026Article
- Wayfinding with Impaired Vision: Preferences for Cues, Strategies, and Aids (Part I-Perspectives from Visually Impaired Individuals).Brain sciences · 2025Article
- Belief embodiment through eye movements facilitates memory-guided navigation.Nature communications · 2025Article
- Visuoinertial and visual feedback in online steering control.PLoS computational biology · 2025Article
- Internal models in active self-motion estimation: role of inertial sensory cues.Journal of neurophysiology · 2025Article
- Inductive biases of neural network modularity in spatial navigation.Science advances · 2024Article
- Self-motion perception and sequential decision-making: where are we heading?Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023Review
- Computational cross-species views of the hippocampal formation.Hippocampus · 2023Review
- Dynamical latent state computation in the male macaque posterior parietal cortex.Nature communications · 2023Article
- Article
- Cognitive, Systems, and Computational Neurosciences of the Self in Motion.Annual review of psychology · 2022Review
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
Path integration is a sensorimotor computation that can be used to infer latent dynamical states by integrating self-motion cues. We studied the influence of sensory observation (visual/vestibular) and latent control dynamics (velocity/acceleration) on human path integration using a novel motion-cueing algorithm. Sensory modality and control dynamics were both varied randomly across trials, as participants controlled a joystick to steer to a memorized target location in virtual reality. Visual and vestibular steering cues allowed comparable accuracies only when participants controlled their acceleration, suggesting that vestibular signals, on their own, fail to support accurate path integration in the absence of sustained acceleration. Nevertheless, performance in all conditions reflected a failure to fully adapt to changes in the underlying control dynamics, a result that was well explained by a bias in the dynamics estimation. This work demonstrates how an incorrect internal model of control dynamics affects navigation in volatile environments in spite of continuous sensory feedback.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.