ArticleScientific reports2017
Predictive feedback to V1 dynamically updates with sensory input.
Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.
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Who cites it
29 citing papers in PubMed.
- Context-sensitive V1 activity that depends on both coherence and surprise.Current research in neurobiology · 2026Article
- Spatiotemporal predictability of saccades modulates postsaccadic feature interference.Journal of vision · 2025Article
- Cortical networks with multiple interneuron types generate oscillatory patterns during predictive coding.PLoS computational biology · 2025Article
- Maintaining visual stability in naturalistic scenes: The roles of trans-saccadic memory and default assumptions.Cognition · 2025Article
- Contextual Modulation of Primary Visual Cortex by Temporal Predictability During Motion Extrapolation.Brain and behavior · 2025Article
- Retinotopic biases in contextual feedback signals to V1 for object and scene processing.Current research in neurobiology · 2025Article
- Priors and prejudice: hierarchical predictive processing in intergroup perception.Frontiers in psychology · 2024Article
- Architecture of the brain's visual system enhances network stability and performance through layers, delays, and feedback.PLoS computational biology · 2023Article
- Perceptual learning across saccades: Feature but not location specific.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- A neural model of modified excitation/inhibition and feedback levels in schizophrenia.bioRxiv : the preprint server for biology · 2023Article
- Seeing and extrapolating motion trajectories share common informative activation patterns in primary visual cortex.Human brain mapping · 2023Article
- A neural model of modified excitation/inhibition and feedback levels in schizophrenia.Frontiers in psychiatry · 2023Article
- Differentiating between Bayesian parameter learning and structure learning based on behavioural and pupil measures.PloS one · 2023Article
- Resolving visual motion through perceptual gaps.Trends in cognitive sciences · 2021Review
- A bias in saccadic suppression of shape change.Vision research · 2021Article
- A self-supervised deep neural network for image completion resembles early visual cortex fMRI activity patterns for occluded scenes.Journal of vision · 2021Article
- Numerosity Perception in Peripheral Vision.Frontiers in human neuroscience · 2021Article
- Parallel fast and slow recurrent cortical processing mediates target and distractor selection in visual search.Communications biology · 2020Article
- Manipulating the structure of natural scenes using wavelets to study the functional architecture of perceptual hierarchies in the brain.NeuroImage · 2020Article
- Stimulus blanking reveals contrast-dependent transsaccadic feature transfer.Scientific reports · 2020Article
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5 authors.
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Abstract
Predictive coding theories propose that the brain creates internal models of the environment to predict upcoming sensory input. Hierarchical predictive coding models of vision postulate that higher visual areas generate predictions of sensory inputs and feed them back to early visual cortex. In V1, sensory inputs that do not match the predictions lead to amplified brain activation, but does this amplification process dynamically update to new retinotopic locations with eye-movements? We investigated the effect of eye-movements in predictive feedback using functional brain imaging and eye-tracking whilst presenting an apparent motion illusion. Apparent motion induces an internal model of motion, during which sensory predictions of the illusory motion feed back to V1. We observed attenuated BOLD responses to predicted stimuli at the new post-saccadic location in V1. Therefore, pre-saccadic predictions update their retinotopic location in time for post-saccadic input, validating dynamic predictive coding theories in V1.
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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.