ArticlePLoS computational biology2022
Combination and competition between path integration and landmark navigation in the estimation of heading direction.
Article in PLoS computational biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed.
- A deep reinforcement learning account of competition and integration of visual and goal vector signals for spatial navigation.Scientific reports · 2026Article
- Ambulation improves memory for rotated scenes.Memory & cognition · 2026Article
- Modeling the journey as well as the destination: a control theory account of rotational navigation.bioRxiv : the preprint server for biology · 2026Article
- Neurocognitive Dynamics of Translating Information From a Spatial Map Into Action.Psychophysiology · 2026Article
- Continuous attractor dynamics in spatial navigation: from population geometry to flexible computation.Frontiers in neuroscience · 2026Review
- Theta Activity Supports Landmark-Based Correction of Naturalistic Human Path Integration.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Article
- Rotating visual spaces induce behavioral biases consistent with recalibrated heading integration in humans.iScience · 2025Article
- Synaptic ring attractor: A unified framework for attractor dynamics and multiple cues integration.Heliyon · 2024Article
- Exploring the Remediation of Behavioral Disturbances of Spatial Cognition in Community-Dwelling Senior Citizens with Mild Cognitive Impairment via Innovative Technological Apparatus (BDSC-MCI Project): Protocol for a Prospective, Multi-Center Observational Study.Journal of personalized medicine · 2024Article
- Not seeing the forest for the trees: combination of path integration and landmark cues in human virtual navigation.Frontiers in behavioral neuroscience · 2024Article
- An experimental framework for conjoint measures of olfaction, navigation, and motion as pre-clinical biomarkers of Alzheimer's disease.Journal of Alzheimer's disease reports · 2024Review
- Embodied Spatial Navigation Training in Mild Cognitive Impairment: A Proof-of-Concept Trial.Journal of Alzheimer's disease : JAD · 2024Article
- Frontal-midline theta and posterior alpha oscillations index early processing of spatial representations during active navigation.Cortex; a journal devoted to the study of the nervous system and behavior · 2023Article
- Does path integration contribute to human navigation in large-scale space?Psychonomic bulletin & review · 2023Review
- Gated transformations from egocentric to allocentric reference frames involving retrosplenial cortex, entorhinal cortex, and hippocampus.Hippocampus · 2023Review
- Spatial navigation and memory: A review of the similarities and differences relevant to brain models and age.Neuron · 2023Review
- Spatial memory distortions for the shapes of walked paths occur in violation of physically experienced geometry.PloS one · 2023Article
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Authors and funding
3 authors.
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Abstract
Successful navigation requires the ability to compute one's location and heading from incoming multisensory information. Previous work has shown that this multisensory input comes in two forms: body-based idiothetic cues, from one's own rotations and translations, and visual allothetic cues, from the environment (usually visual landmarks). However, exactly how these two streams of information are integrated is unclear, with some models suggesting the body-based idiothetic and visual allothetic cues are combined, while others suggest they compete. In this paper we investigated the integration of body-based idiothetic and visual allothetic cues in the computation of heading using virtual reality. In our experiment, participants performed a series of body turns of up to 360 degrees in the dark with only a brief flash (300ms) of visual feedback en route. Because the environment was virtual, we had full control over the visual feedback and were able to vary the offset between this feedback and the true heading angle. By measuring the effect of the feedback offset on the angle participants turned, we were able to determine the extent to which they incorporated visual feedback as a function of the offset error. By further modeling this behavior we were able to quantify the computations people used. While there were considerable individual differences in performance on our task, with some participants mostly ignoring the visual feedback and others relying on it almost entirely, our modeling results suggest that almost all participants used the same strategy in which idiothetic and allothetic cues are combined when the mismatch between them is small, but compete when the mismatch is large. These findings suggest that participants update their estimate of heading using a hybrid strategy that mixes the combination and competition of cues.
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Registered trials
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