ArticleProceedings of the National Academy of Sciences of the United States of America2019
Estimating average single-neuron visual receptive field sizes by fMRI.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2019. 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.
- Spatial Frequency Tuning Follows Scale Invariance in the Human Visual Cortex.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026Article
- Critical spatial separation at the scale of V1 receptive fields determines motion segmentation.bioRxiv : the preprint server for biology · 2025Article
- Unpacking the V1 map: Differential covariation of preferred spatial frequency and cortical magnification across spatial dimensions.PLoS computational biology · 2025Article
- Article
- Grouping signals in primate visual cortex.Neuron · 2025Article
- Biases in Volumetric Versus Surface Analyses in Population Receptive Field Mapping.Human brain mapping · 2025Article
- A virtual patient simulation modeling the neural and perceptual effects of human visual cortical stimulation, from pulse trains to percepts.Scientific reports · 2024Article
- Signal switching may enhance processing power of the brain.Trends in cognitive sciences · 2024Review
- Article
- Grouping cells in primate visual cortex.bioRxiv : the preprint server for biology · 2024Article
- Article
- Article
- Article
- A modeling framework for determining modulation of neural-level tuning from non-invasive human fMRI data.Communications biology · 2022Article
- Towards a more general understanding of the algorithmic utility of recurrent connections.PLoS computational biology · 2022Article
- Mapping spatial frequency preferences across human primary visual cortex.Journal of vision · 2022Article
- Analytic Model for Feature Maps in the Primary Visual Cortex.Frontiers in computational neuroscience · 2022Article
- Combining magnetic resonance imaging with readout and/or perturbation of neural activity in animal models: Advantages and pitfalls.Frontiers in neuroscience · 2022Review
- Learning to see again: Perceptual learning of simulated abnormal on- off-cell population responses in sighted individuals.Journal of vision · 2021Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
The noninvasive estimation of neuronal receptive field (RF) properties in vivo allows a detailed understanding of brain organization as well as its plasticity by longitudinal following of potential changes. Visual RFs measured invasively by electrophysiology in animal models have traditionally provided a great extent of our current knowledge about the visual brain and its disorders. Voxel-based estimates of population RF (pRF) by functional magnetic resonance imaging (fMRI) in humans revolutionized the field and have been used extensively in numerous studies. However, current methods cannot estimate single-neuron RF sizes as they reflect large populations of neurons with individual RF scatter. Here, we introduce an approach to estimate RF size using spatial frequency selectivity to checkerboard patterns. This method allowed us to obtain noninvasive, average single-neuron RF estimates over a large portion of human early visual cortex. These estimates were significantly smaller compared with prior pRF methods. Furthermore, fMRI and electrophysiology experiments in nonhuman primates demonstrated an exceptionally good match, validating the approach.
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.