ArticleeLife2020
Curvature domains in V4 of macaque monkey.
Article in eLife, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 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
16 citing papers in PubMed.
- Computational constraints underlying shape and texture functional domain organization in macaque V4.Cerebral cortex (New York, N.Y. : 1991) · 2026Article
- Neural processing of naturalistic audiovisual events in space and time.Communications biology · 2025Article
- Multiple loci for foveolar vision in macaque monkey visual cortex.Nature neuroscience · 2025Article
- Mapping curvature domains in human V4 using CBV-sensitive layer-fMRI at 3T.Frontiers in neuroscience · 2025Article
- Heterogeneous orientation tuning in the primary visual cortex of mice diverges from Gabor-like receptive fields in primates.Cell reports · 2024Article
- A novel interface for cortical columnar neuromodulation with multipoint infrared neural stimulation.Nature communications · 2024Article
- Hue and orientation pinwheels in macaque area V4.Journal of neurophysiology · 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
- Feature representation under crowding in macaque V1 and V4 neuronal populations.Current biology : CB · 2022Article
- Processing of visual statistics of naturalistic videos in macaque visual areas V1 and V4.Brain structure & function · 2022Article
- Function-specific projections from V2 to V4 in macaques.Brain structure & function · 2022Article
- Article
- Article
- Curvature-processing domains in primate V4.eLife · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
An important aspect of visual object recognition is the ability to perceive object shape. Two basic components of complex shapes are straight and curved contours. A large body of evidence suggests a modular hierarchy for shape representation progressing from simple and complex orientation in early areas V1 and V2, to increasingly complex stages of curvature representation in V4, TEO, and TE. Here, we reinforce and extend the concept of modular representation. Using intrinsic signal optical imaging in Macaque area V4, we find sub-millimeter sized modules for curvature representation that are organized from low to high curvatures as well as domains with complex curvature preference. We propose a possible 'curvature hypercolumn' within V4. In combination with previous studies, we suggest that the key emergent functions at each stage of cortical processing are represented in systematic, modular maps.
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.