ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2017
Domain Specificity of Oculomotor Learning after Changes in Sensory Processing.
Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.
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Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.
- A systematic review of extended reality (XR) for understanding and augmenting vision loss.Journal of vision · 2023Pooled it
- Distinct roles of central and peripheral vision in rapid scene understanding.Journal of vision · 2026Article
- Learned foveal representations, not gaze-mediated information access, underlie perceptual advantages for canonical face configurations.Journal of vision · 2026Article
- Eye movements do not preferentially test inferences in the blind spot.Scientific reports · 2025Article
- The Influence of Presentation Frames of Visualization Information for Safety on Situational Awareness under a Three-Level User-Interface Design.International journal of environmental research and public health · 2023Article
- Humans trade off search costs and accuracy in a combined visual search and perceptual task.Attention, perception & psychophysics · 2023Article
- Eye Movements in Macular Degeneration.Annual review of vision science · 2021Review
- Peripheral facial features guiding eye movements and reducing fixational variability.Journal of vision · 2021Article
- Vision as oculomotor reward: cognitive contributions to the dynamic control of saccadic eye movements.Cognitive neurodynamics · 2021Review
- Initial eye gaze to faces and its functional consequence on face identification abilities in autism spectrum disorder.Journal of neurodevelopmental disorders · 2019Article
- Task-driven visual exploration at the foveal scale.Proceedings of the National Academy of Sciences of the United States of America · 2019Article
- Introduction to Special Issue on Perceptual Learning.Vision research · 2018Article
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Humans visually process the world with varying spatial resolution and can program their eye movements optimally to maximize information acquisition for a variety of everyday tasks. Diseases such as macular degeneration can change visual sensory processing, introducing central vision loss (a scotoma). However, humans can learn to direct a new preferred retinal location to regions of interest for simple visual tasks. Whether such learned compensatory saccades are optimal and generalize to more complex tasks, which require integrating information across a large area of the visual field, is not well understood. Here, we explore the possible effects of central vision loss on the optimal saccades during a face identification task, using a gaze-contingent simulated scotoma. We show that a new foveated ideal observer with a central scotoma correctly predicts that the human optimal point of fixation to identify faces shifts from just below the eyes to one that is at the tip of the nose and another at the top of the forehead. However, even after 5000 trials, humans of both sexes surprisingly do not change their initial fixations to adapt to the new optimal fixation points to faces. In contrast, saccades do change for tasks such as object following and to a lesser extent during search. Our findings argue against a central brain motor-compensatory mechanism that generalizes across tasks. They instead suggest task specificity in the learning of oculomotor plans in response to changes in front-end sensory processing and the possibility of separate domain-specific representations of learned oculomotor plans in the brain.
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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.