ArticleProceedings of the National Academy of Sciences of the United States of America2021
Divisive normalization unifies disparate response signatures throughout the human visual hierarchy.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 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
27 citing papers in PubMed, 44 citations in OpenAlex.
- Model-based estimation of the population contrast response function in human visual cortex.Journal of vision · 2026Article
- Non-invasive mapping of the temporal processing hierarchy in the human visual cortex.PLoS computational biology · 2026Article
- Inhibition benefits neural system identification.bioRxiv : the preprint server for biology · 2026Article
- Global remapping of the sensory homunculus emerges early in childhood development.Nature communications · 2026Article
- Perceptual resolution of ambiguity: A divisive normalization account for both interocular color grouping and difference enhancement.Journal of vision · 2026Article
- Psilocybin alters visual contextual computations.Nature communications · 2025Article
- Distributed and drifting signals for working memory load in human cortex.bioRxiv : the preprint server for biology · 2025Article
- The precision of attention controls attraction of population receptive fields.Journal of vision · 2025Article
- Article
- Improving the reliability and accuracy of population receptive field measures using a logarithmically warped stimulus.Journal of vision · 2025Article
- Modeling neural contrast sensitivity functions in human visual cortex.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- The Role of Population Receptive Field Sizes in Higher-Order Visual Dysfunction.Current neurology and neuroscience reports · 2024Review
- Improving the Reliability and Accuracy of Population Receptive Field Measures Using a Logarithmically Warped Stimulus.bioRxiv : the preprint server for biology · 2024Article
- Rethinking simultaneous suppression in visual cortex via compressive spatiotemporal population receptive fields.bioRxiv : the preprint server for biology · 2024Article
- Characterizing Spatiotemporal Population Receptive Fields in Human Visual Cortex with fMRI.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024Article
- Computational model links normalization to chemoarchitecture in the human visual system.Science advances · 2024Article
- Population receptive field models capture the event-related magnetoencephalography response with millisecond resolution.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- A selection and targeting framework of cortical locations for line-scanning fMRI.Human brain mapping · 2023Article
- A theory of autism bridging across levels of description.Trends in cognitive sciences · 2023Review
- The more numerous the longer: how the integration between numerosity and time leads to a common neural response.Proceedings. Biological sciences · 2023Article
Corrections and comments
- Commented on by
Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Neural processing is hypothesized to apply the same mathematical operations in a variety of contexts, implementing so-called canonical neural computations. Divisive normalization (DN) is considered a prime candidate for a canonical computation. Here, we propose a population receptive field (pRF) model based on DN and evaluate it using ultra-high-field functional MRI (fMRI). The DN model parsimoniously captures seemingly disparate response signatures with a single computation, superseding existing pRF models in both performance and biological plausibility. We observe systematic variations in specific DN model parameters across the visual hierarchy and show how they relate to differences in response modulation and visuospatial information integration. The DN model delivers a unifying framework for visuospatial responses throughout the human visual hierarchy and provides insights into its underlying information-encoding computations. These findings extend the role of DN as a canonical computation to neuronal populations throughout the human visual hierarchy.
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.