ArticleHuman brain mapping2020
Cortical sensitivity to natural scene structure.
Article in Human brain mapping, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed.
- GridSamp: An open-source Python toolbox for grid sampling.Behavior research methods · 2026Article
- Distinct mechanisms of contextual modulation for dynamic natural scenes in motion- and scene-selective cortex.Journal of neurophysiology · 2026Article
- Characterizing surround suppression with dynamic natural scenes.Journal of vision · 2026Article
- Where do I go? Decoding temporal neural dynamics of scene processing and visuospatial memory interactions using convolutional neural networks.Journal of vision · 2025Article
- Characterizing internal models of the visual environment.Proceedings. Biological sciences · 2025Review
- Visual Recognition Memory of Scenes Is Driven by Categorical, Not Sensory, Visual Representations.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024Article
- Integrative processing in artificial and biological vision predicts the perceived beauty of natural images.Science advances · 2024Article
- Alpha-frequency feedback to early visual cortex orchestrates coherent naturalistic vision.Science advances · 2023Article
- Article
- EEG Decoding Reveals Neural Predictions for Naturalistic Material Behaviors.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023Article
- Rapid Extraction of the Spatial Distribution of Physical Saliency and Semantic Informativeness from Natural Scenes in the Human Brain.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2022Article
- Grounding Context in Embodied Cognitive Robotics.Frontiers in neurorobotics · 2022Article
- Coherent natural scene structure facilitates the extraction of task-relevant object information in visual cortex.NeuroImage · 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
- Mapping the Scene and Object Processing Networks by Intracranial EEG.Frontiers in human neuroscience · 2020Article
- Article
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Natural scenes are inherently structured, with meaningful objects appearing in predictable locations. Human vision is tuned to this structure: When scene structure is purposefully jumbled, perception is strongly impaired. Here, we tested how such perceptual effects are reflected in neural sensitivity to scene structure. During separate fMRI and EEG experiments, participants passively viewed scenes whose spatial structure (i.e., the position of scene parts) and categorical structure (i.e., the content of scene parts) could be intact or jumbled. Using multivariate decoding, we show that spatial (but not categorical) scene structure profoundly impacts on cortical processing: Scene-selective responses in occipital and parahippocampal cortices (fMRI) and after 255 ms (EEG) accurately differentiated between spatially intact and jumbled scenes. Importantly, this differentiation was more pronounced for upright than for inverted scenes, indicating genuine sensitivity to spatial structure rather than sensitivity to low-level attributes. Our findings suggest that visual scene analysis is tightly linked to the spatial structure of our natural environments. This link between cortical processing and scene structure may be crucial for rapidly parsing naturalistic visual inputs.
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