ArticleCurrent biology : CB2015
Head-Eye Coordination at a Microscopic Scale.
Article in Current biology : CB, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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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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Who cites it
24 citing papers in PubMed, 45 citations in OpenAlex.
- Perceptual punctuation: fixational eye movements reveal segmentation of auditory streams.Frontiers in neuroscience · 2026Article
- Vision toolkit part 1. Neurophysiological foundations and experimental paradigms in eye-tracking research: a review.Frontiers in physiology · 2025Review
- From eyes' microtremors to critical flicker fusion.PloS one · 2025Article
- Neural coding of space by time.Biological cybernetics · 2024Article
- Fine-scale measurement of the blind spot borders.Vision research · 2023Article
- Learning heterogeneous delays in a layer of spiking neurons for fast motion detection.Biological cybernetics · 2023Article
- High-resolution eye-tracking via digital imaging of Purkinje reflections.Journal of vision · 2023Article
- Cognitive influences on fixational eye movements.Current biology : CB · 2023Article
- Inferring visual space from ultra-fine extra-retinal knowledge of gaze position.Nature communications · 2023Article
- Can Microsaccades Be Used for Biometrics?Sensors (Basel, Switzerland) · 2022Article
- Eye drift during fixation predicts visual acuity.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
- Head and eyes: Looking behavior in 12- to 24-month-old infants.Journal of vision · 2021Article
- Accuracy and precision of small saccades.Scientific reports · 2020Article
- Article
- Closed loop motor-sensory dynamics in human vision.PloS one · 2020Article
- Article
- Temporal Coding of Visual Space.Trends in cognitive sciences · 2018Review
- Suboptimal eye movements for seeing fine details.Journal of vision · 2018Article
- Monocular microsaccades: Do they really occur?Journal of vision · 2018Article
- Selective attention within the foveola.Nature neuroscience · 2017Article
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
Humans explore static visual scenes by alternating rapid eye movements (saccades) with periods of slow and incessant eye drifts [1-3]. These drifts are commonly believed to be the consequence of physiological limits in maintaining steady gaze, resulting in Brownian-like trajectories [4-7], which are almost independent in the two eyes [8-10]. However, because of the technical difficulty of recording minute eye movements, most knowledge on ocular drift comes from artificial laboratory conditions, in which the head of the observer is strictly immobilized. Little is known about eye drift during natural head-free fixation, when microscopic head movements are also continually present [11-13]. We have recently observed that the power spectrum of the visual input to the retina during ocular drift is largely unaffected by fixational head movements [14]. Here we elucidate the mechanism responsible for this invariance. We show that, contrary to common assumption, ocular drift does not move the eyes randomly, but compensates for microscopic head movements, thereby yielding highly correlated movements in the two eyes. This compensatory behavior is extremely fast, persists with one eye patched, and results in image motion trajectories that are only partially correlated on the two retinas. These findings challenge established views of how humans acquire visual information. They show that ocular drift is precisely controlled, as long speculated [15], and imply the existence of neural mechanisms that integrate minute multimodal signals.
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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.