ArticleNeuroImage2020
Curvature processing in human visual cortical areas.
Article in NeuroImage, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.
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Who cites it
31 citing papers in PubMed, 1 synthesis or guideline pooled it, 75 citations in OpenAlex.
- How universal is preference for visual curvature? A systematic review and meta-analysis.Annals of the New York Academy of Sciences · 2022Pooled it
- Self-supervised learning yields representational signatures of category-selective cortex.Communications biology · 2026Article
- Eccentricity-Constrained CNN Training Reveals Adaptive Information Coding Around the Visual Field.ArXiv · 2026Article
- Investigating action topography in visual cortex and deep artificial neural networks.Nature communications · 2025Article
- Visual cortex speckle imaging for shape recognition.Scientific reports · 2025Article
- Unveiling the relationship between aesthetic experiences and attention through a cross-experiment validation of their processing biomarkers.PNAS nexus · 2025Article
- Convolutional architectures are cortex-aligned de novo.bioRxiv : the preprint server for biology · 2025Article
- Mapping curvature domains in human V4 using CBV-sensitive layer-fMRI at 3T.Frontiers in neuroscience · 2025Article
- Neural dissociation between computational and perceived measures of curvature.Scientific reports · 2024Article
- Measures of angularity in digital images.Behavior research methods · 2024Article
- A Whole-Brain Topographic Ontology.Annual review of neuroscience · 2024Review
- A Cortical-Inspired Contour Completion Model Based on Contour Orientation and Thickness.Journal of imaging · 2024Article
- Article
- The neural code for "face cells" is not face-specific.Science advances · 2023Article
- The Emergence of Tuning to Global Shape Properties of Radial Frequency Patterns in the Ventral Visual Pathway.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023Article
- Low-level tuning biases in higher visual cortex reflect the semantic informativeness of visual features.Journal of vision · 2023Article
- Article
- Pulvinar Response Profiles and Connectivity Patterns to Object Domains.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023Article
- Does the brain's ventral visual pathway compute object shape?Trends in cognitive sciences · 2022Review
- Mid-level Feature Differences Support Early Animacy and Object Size Distinctions: Evidence from Electroencephalography Decoding.Journal of cognitive neuroscience · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 1 country.
Funding
Abstract
Curvature is one of many visual features shown to be important for visual perception. We recently showed that curvilinear features provide sufficient information for categorizing animate vs. inanimate objects, while rectilinear features do not (Zachariou et al., 2018). Results from our fMRI study in rhesus monkeys (Yue et al., 2014) have shed light on some of the neural substrates underlying curvature processing by revealing a network of visual cortical patches with a curvature response preference. However, it is unknown whether a similar network exists in human visual cortex. Thus, the current study was designed to investigate cortical areas with a preference for curvature in the human brain using fMRI at 7T. Consistent with our monkey fMRI results, we found a network of curvature preferring cortical patches-some of which overlapped well-known face-selective areas. Moreover, principal component analysis (PCA) using all visually-responsive voxels indicated that curvilinear features of visual stimuli were associated with specific retinotopic regions in visual cortex. Regions associated with positive curvilinear PC values encompassed the central visual field representation of early visual areas and the lateral surface of temporal cortex, while those associated with negative curvilinear PC values encompassed the peripheral visual field representation of early visual areas and the medial surface of temporal cortex. Thus, we found that broad areas of curvature preference, which encompassed face-selective areas, were bound by central visual field representations. Our results support the hypothesis that curvilinearity preference interacts with central-peripheral processing biases as primary features underlying the organization of temporal cortex topography in the adult human brain.
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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.