ReviewJournal of vision2015
Low-level properties of natural images predict topographic patterns of neural response in the ventral visual pathway.
Review in Journal of vision, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
What it found
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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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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
23 citing papers in PubMed, 71 citations in OpenAlex.
- Dissociating the hierarchical processing of perceptual and food category information under different task demands.Psychonomic bulletin & review · 2026Article
- Multidimensional Feature Tuning in Category Selective Areas of Human Visual Cortex.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026Article
- 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
- A Unifying Model for Discordant and Concordant Results in Human Neuroimaging Studies of Facial Viewpoint Selectivity.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024Article
- Using High-Density Electroencephalography to Explore Spatiotemporal Representations of Object Categories in Visual Cortex.Journal of cognitive neuroscience · 2022Article
- fMRI evidence that hyper-caricatured faces activate object-selective cortex.Frontiers in psychology · 2022Article
- Cortical networks of dynamic scene category representation in the human brain.Cortex; a journal devoted to the study of the nervous system and behavior · 2021Article
- Untangling the Animacy Organization of Occipitotemporal Cortex.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2021Article
- Faces under continuous flash suppression capture attention faster than objects, but without a face-evoked steady-state visual potential: Is curvilinearity responsible for the behavioral effect?Journal of vision · 2020Article
- Orthogonal Representations of Object Shape and Category in Deep Convolutional Neural Networks and Human Visual Cortex.Scientific reports · 2020Article
- A data-driven approach to stimulus selection reveals an image-based representation of objects in high-level visual areas.Human brain mapping · 2019Article
- Universal Mechanisms and the Development of the Face Network: What You See Is What You Get.Annual review of vision science · 2019Review
- Using neural distance to predict reaction time for categorizing the animacy, shape, and abstract properties of objects.Scientific reports · 2019Article
- Mid-level visual features underlie the high-level categorical organization of the ventral stream.Proceedings of the National Academy of Sciences of the United States of America · 2018Article
- Deep Residual Network Predicts Cortical Representation and Organization of Visual Features for Rapid Categorization.Scientific reports · 2018Article
- On the partnership between neural representations of object categories and visual features in the ventral visual pathway.Neuropsychologia · 2017Review
- The influence of low-level stimulus features on the representation of contexts, items, and their mnemonic associations.NeuroImage · 2017Article
- Development of the macaque face-patch system.Nature communications · 2017Article
- End-Stopping Predicts Curvature Tuning along the Ventral Stream.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2017Article
- Distinct but Overlapping Patterns of Response to Words and Faces in the Fusiform Gyrus.Cerebral cortex (New York, N.Y. : 1991) · 2016Article
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
Abstract
Neuroimaging research over the past 20 years has begun to reveal a picture of how the human visual system is organized. A key distinction that has arisen from these studies is the difference in the organization of low-level and high-level visual regions. Low-level regions contain topographic maps that are tightly linked to properties of the image. In contrast, high-level visual areas are thought to be arranged in modules that are tightly linked to categorical or semantic information in the image. To date, an unresolved question has been how the strong functional selectivity for object categories in high-level visual regions might arise from the image-based representations found in low-level visual regions. Here, we review recent evidence suggesting that patterns of response in high-level visual areas may be better explained by response to image properties that are characteristic of different object categories.
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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.