ArticleJournal of neurophysiology2017
Control of the strength of visual-motor transmission as the mechanism of rapid adaptation of priors for Bayesian inference in smooth pursuit eye movements.
Article in Journal of neurophysiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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Who cites it
22 citing papers in PubMed.
- Selective encoding of priors for flexible categorization but not Bayesian inference in the frontal eye field.bioRxiv : the preprint server for biology · 2026Article
- Serial dependence in goal-directed interceptive hand movements.BMC biology · 2026Article
- Serial Dependence in Smooth Pursuit Eye Movements of Preadolescent Children and Adults.Investigative ophthalmology & visual science · 2024Article
- Spatial and directional tuning of serial dependence for tracking eye movements.Journal of vision · 2024Article
- Context-dependence of deterministic and nondeterministic contributions to closed-loop steering control.bioRxiv : the preprint server for biology · 2024Article
- Continuity fields enhance visual perception through positive serial dependence.Nature reviews. Psychology · 2024Article
- Bayesian approaches to smooth pursuit of random dot kinematograms: effects of varying RDK noise and the predictability of RDK direction.Journal of neurophysiology · 2024Article
- A sensory-motor decoder that transforms neural responses in extrastriate area MT into smooth pursuit eye movements.Journal of neurophysiology · 2023Article
- The effect of impaired velocity signals on goal-directed eye and hand movements.Scientific reports · 2023Article
- Article
- A sensory-motor decoder that transforms neural responses in extrastriate area MT into smooth pursuit eye movements.bioRxiv : the preprint server for biology · 2023Article
- Toward a Biomimetic Neural Circuit Model of Sensory-Motor Processing.Neural computation · 2023Review
- Multivariate EEG activity reflects the Bayesian integration and the integrated Galilean relative velocity of sensory motion during sensorimotor behavior.Communications biology · 2023Article
- Repeated applications of high potassium elicit long-term changes in a motor circuit from the crab,iScience · 2022Article
- Neural structure of a sensory decoder for motor control.Nature communications · 2022Article
- Disrupting Short-Term Memory Maintenance in Premotor Cortex Affects Serial Dependence in Visuomotor Integration.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2021Article
- Influence of prior and visual information on eye movements in amblyopic children.Journal of computational neuroscience · 2021Article
- Retinal error signals and fluctuations in eye velocity influence oculomotor behavior in subsequent trials.Journal of vision · 2021Article
- From Gaussian blobs to naturalistic videos: Comparison of oculomotor behavior across different stimulus complexities.Journal of vision · 2020Article
- Different mechanisms for modulation of the initiation and steady-state of smooth pursuit eye movements.Journal of neurophysiology · 2020Article
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3 authors.
Funding
Abstract
Bayesian inference provides a cogent account of how the brain combines sensory information with "priors" based on past experience to guide many behaviors, including smooth pursuit eye movements. We now demonstrate very rapid adaptation of the pursuit system's priors for target direction and speed. We go on to leverage that adaptation to outline possible neural mechanisms that could cause pursuit to show features consistent with Bayesian inference. Adaptation of the prior causes changes in the eye speed and direction at the initiation of pursuit. The adaptation appears after a single trial and accumulates over repeated exposure to a given history of target speeds and directions. The influence of the priors depends on the reliability of visual motion signals: priors are more effective against the visual motion signals provided by low-contrast vs. high-contrast targets. Adaptation of the direction prior generalizes to eye speed and vice versa, suggesting that both priors could be controlled by a single neural mechanism. We conclude that the pursuit system can learn the statistics of visual motion rapidly and use those statistics to guide future behavior. Furthermore, a model that adjusts the gain of visual-motor transmission predicts the effects of recent experience on pursuit direction and speed, as well as the specifics of the generalization between the priors for speed and direction. We suggest that Bayesian inference in pursuit behavior is implemented by distinctly non-Bayesian internal mechanisms that use the smooth eye movement region of the frontal eye fields to control of the gain of visual-motor transmission.
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