ReviewPhilosophical transactions of the Royal Society of London. Series B, Biological sciences2017
Contributions of low- and high-level properties to neural processing of visual scenes in the human brain.
Review in Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 83 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
83 citing papers in PubMed.
- Post-saccadic disruption of semantic category information in naturalistic scenes.Cortex; a journal devoted to the study of the nervous system and behavior · 2026Article
- Self-supervised learning yields representational signatures of category-selective cortex.Communications biology · 2026Article
- The cortical scene processing network emerges in infancy, prior to independent navigation experience.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Training in the Categorization of Aerial and Terrestrial Scenes Differentially Impacts Scene-Selective and Nonscene-Selective Regions in Occipitotemporal Cortex.The European journal of neuroscience · 2026Article
- Linking retinal sampling in neural encoding models to temporal profiles of visual processing in humans.PLoS computational biology · 2026Article
- Rethinking category-selectivity in human visual cortex.Cognitive neuroscience · 2026Review
- From adolescence to adulthood: functional fingerprints of high-level visual cortex reveal differential development of visuospatial processing.bioRxiv : the preprint server for biology · 2026Article
- Early spatiotemporal dynamics of navigational affordance coding in the dorsal visual cortex.Nature communications · 2026Article
- Differential effects of free viewing and goal-directed search on visual attention: An eye-tracking study.PloS one · 2026Article
- Hippocampal transformations occur along dimensions of memory interference.bioRxiv : the preprint server for biology · 2025Article
- Post-Saccadic Disruption of Semantic Category Information in Naturalistic Scenes.bioRxiv : the preprint server for biology · 2025Article
- Where do I go? Decoding temporal neural dynamics of scene processing and visuospatial memory interactions using convolutional neural networks.Journal of vision · 2025Article
- Visual short-term memory, culture, and image structure.Attention, perception & psychophysics · 2025Article
- Function over form: The temporal evolution of affordance-based scene categorization.Journal of vision · 2025Article
- Representation of locomotive action affordances in human behavior, brains, and deep neural networks.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Brain-guided convolutional neural networks reveal task-specific representations in scene processing.Scientific reports · 2025Article
- Cortical Encoding of Spatial Structure and Semantic Content in 3D Natural Scenes.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Article
- The Scope and Limits of Fine-Grained Image and Category Information in the Ventral Visual Pathway.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Article
- The Visual Integration of Semantic and Spatial Information of Objects in Naturalistic Scenes (VISIONS) database: attentional, conceptual, and perceptual norms.Behavior research methods · 2025Article
- Fixation-related potentials during a virtual navigation task: The influence of image statistics on early cortical processing.Attention, perception & psychophysics · 2025Article
23 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Visual scene analysis in humans has been characterized by the presence of regions in extrastriate cortex that are selectively responsive to scenes compared with objects or faces. While these regions have often been interpreted as representing high-level properties of scenes (e.g. category), they also exhibit substantial sensitivity to low-level (e.g. spatial frequency) and mid-level (e.g. spatial layout) properties, and it is unclear how these disparate findings can be united in a single framework. In this opinion piece, we suggest that this problem can be resolved by questioning the utility of the classical low- to high-level framework of visual perception for scene processing, and discuss why low- and mid-level properties may be particularly diagnostic for the behavioural goals specific to scene perception as compared to object recognition. In particular, we highlight the contributions of low-level vision to scene representation by reviewing (i) retinotopic biases and receptive field properties of scene-selective regions and (ii) the temporal dynamics of scene perception that demonstrate overlap of low- and mid-level feature representations with those of scene category. We discuss the relevance of these findings for scene perception and suggest a more expansive framework for visual scene analysis.This article is part of the themed issue 'Auditory and visual scene analysis'.
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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.