ArticleeLife2020
Curvature-processing domains in primate V4.
Article in eLife, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
22 citing papers in PubMed.
- Optotagging in primate cortex uncovers excitatory and inhibitory neuron specializations in form vision.Nature communications · 2026Article
- Optotagging in primate cortex uncovers excitatory and inhibitory neuron specializations in form vision.Nature communications · 2026Article
- Visual cortex speckle imaging for shape recognition.Scientific reports · 2025Article
- Deep learning-driven characterization of single cell tuning in primate visual area V4 supports topological organization.bioRxiv : the preprint server for biology · 2025Article
- Reproducing the Few-Shot Learning Capabilities of the Visual Ventral Pathway Using Vision Transformers and Neural Fields.Brain sciences · 2025Article
- High-Density Recording Reveals Sparse Clusters (But Not Columns) for Shape and Texture Encoding in Macaque V4.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Article
- High-Density Recording Reveals Sparse Clusters (But Not Columns) for Shape and Texture Encoding in Macaque V4.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Article
- Mapping curvature domains in human V4 using CBV-sensitive layer-fMRI at 3T.Frontiers in neuroscience · 2025Article
- Large-scale calcium imaging reveals a systematic V4 map for encoding natural scenes.Nature communications · 2024Article
- Large-scale calcium imaging reveals a systematic V4 map for encoding natural scenes.Nature communications · 2024Article
- High-density recording reveals sparse clusters (but not columns) for shape and texture encoding in macaque V4.bioRxiv : the preprint server for biology · 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
- Article
- Visualizing advances in the future of primate neuroscience research.Current research in neurobiology · 2023Review
- Article
- Function-specific projections from V2 to V4 in macaques.Brain structure & function · 2022Article
- Processing of visual statistics of naturalistic videos in macaque visual areas V1 and V4.Brain structure & function · 2022Article
- Figure-ground responsive fields of monkey V4 neurons estimated from natural image patches.PloS one · 2022Article
- Article
- Microendoscopic calcium imaging of the primary visual cortex of behaving macaques.Scientific reports · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
Neurons in primate V4 exhibit various types of selectivity for contour shapes, including curves, angles, and simple shapes. How are these neurons organized in V4 remains unclear. Using intrinsic signal optical imaging and two-photon calcium imaging, we observed submillimeter functional domains in V4 that contained neurons preferring curved contours over rectilinear ones. These curvature domains had similar sizes and response amplitudes as orientation domains but tended to separate from these regions. Within the curvature domains, neurons that preferred circles or curve orientations clustered further into finer scale subdomains. Nevertheless, individual neurons also had a wide range of contour selectivity, and neighboring neurons exhibited a substantial diversity in shape tuning besides their common shape preferences. In strong contrast to V4, V1 and V2 did not have such contour-shape-related domains. These findings highlight the importance and complexity of curvature processing in visual object recognition and the key functional role of V4 in this process.
Indexed as
Identifiers
What OpenQuestion holds
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.