ArticleeLife2019
A neural mechanism for contextualizing fragmented inputs during naturalistic vision.
Article in eLife, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed.
- GridSamp: An open-source Python toolbox for grid sampling.Behavior research methods · 2026Article
- Hybrid spatial organization and evidence for magnitude-independent neural coding of linguistic information during sentence production.Science advances · 2026Article
- Three-dimensional scene boundary representations for wall orientation and distance are represented distinctly in the human visual cortex.PLoS biology · 2026Article
- Hybrid spatial organization and magnitude-independent coding of linguistic information during sentence production.bioRxiv : the preprint server for biology · 2025Article
- Characterizing internal models of the visual environment.Proceedings. Biological sciences · 2025Review
- A large-scale MEG and EEG dataset for object recognition in naturalistic scenes.Scientific data · 2025Article
- Representational shifts from feedforward to feedback rhythms index phenomenological integration in naturalistic vision.Communications biology · 2025Article
- Vocal Emotion Perception and Musicality-Insights from EEG Decoding.Sensors (Basel, Switzerland) · 2025Article
- Enhanced and idiosyncratic neural representations of personally typical scenes.Proceedings. Biological sciences · 2025Article
- Coherent categorical information triggers integration-related alpha dynamics.Journal of neurophysiology · 2024Article
- Integrative processing in artificial and biological vision predicts the perceived beauty of natural images.Science advances · 2024Article
- EEG Decoding Reveals Neural Predictions for Naturalistic Material Behaviors.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023Article
- The Action Cycle Theory of Perception and Mental Imagery.Vision (Basel, Switzerland) · 2023Review
- Hierarchical organization of objects in scenes is reflected in mental representations of objects.Scientific reports · 2022Article
- The transverse occipital sulcus and intraparietal sulcus show neural selectivity to object-scene size relationships.Communications biology · 2021Article
- The N300: An Index for Predictive Coding of Complex Visual Objects and Scenes.Cerebral cortex communications · 2021Article
- Real-world structure facilitates the rapid emergence of scene category information in visual brain signals.Journal of neurophysiology · 2020Article
- Cortical sensitivity to natural scene structure.Human brain mapping · 2020Article
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Authors and funding
3 authors.
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Abstract
With every glimpse of our eyes, we sample only a small and incomplete fragment of the visual world, which needs to be contextualized and integrated into a coherent scene representation. Here we show that the visual system achieves this contextualization by exploiting spatial schemata, that is our knowledge about the composition of natural scenes. We measured fMRI and EEG responses to incomplete scene fragments and used representational similarity analysis to reconstruct their cortical representations in space and time. We observed a sorting of representations according to the fragments' place within the scene schema, which occurred during perceptual analysis in the occipital place area and within the first 200 ms of vision. This schema-based coding operates flexibly across visual features (as measured by a deep neural network model) and different types of environments (indoor and outdoor scenes). This flexibility highlights the mechanism's ability to efficiently organize incoming information under dynamic real-world conditions.
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