ReviewNeuroImage2020
Studying the visual brain in its natural rhythm.
Review in NeuroImage, 2020. 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, 48 citations in OpenAlex.
- Preferred visual experiences provide intuitive descriptions of the functional properties of the cortical navigation network.bioRxiv : the preprint server for biology · 2026Article
- Joint infrared pupil images and near-corneal-plane spectral light exposure data under natural conditions.Scientific data · 2026Article
- Behaviorally-relevant features of observed actions dominate cortical representational geometry in natural vision.Research square · 2024Article
- Behaviorally-relevant features of observed actions dominate cortical representational geometry in natural vision.bioRxiv : the preprint server for biology · 2024Article
- The big mixup: Neural representation during natural modes of primate visual behavior.Current opinion in neurobiology · 2024Review
- Neuronal Mechanisms Underlying Face Recognition in Non-human Primates.The Japanese psychological research · 2024Article
- Feature-selective responses in macaque visual cortex follow eye movements during natural vision.Nature neuroscience · 2024Article
- Modeling naturalistic face processing in humans with deep convolutional neural networks.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Article
- Detailed characterization of neural selectivity in free viewing primates.Nature communications · 2023Article
- Article
- Encoding of 3D physical dimensions by face-selective cortical neurons.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Active visual search in naturalistic environments reflects individual differences in classic visual search performance.Scientific reports · 2023Article
- Article
- Article
- Active vision during prey capture in wild marmoset monkeys.Current biology : CB · 2022Article
- Using child-friendly movie stimuli to study the development of face, place, and object regions from age 3 to 12 years.Human brain mapping · 2022Article
- Natural behavior is the language of the brain.Current biology : CB · 2022Review
- One object, two networks? Assessing the relationship between the face and body-selective regions in the primate visual system.Brain structure & function · 2022Review
- Parallel functional subnetworks embedded in the macaque face patch system.Science advances · 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
2 authors at 2 institutions in 1 country.
Funding
Abstract
How the brain fluidly orchestrates visual behavior is a central question in cognitive neuroscience. Researchers studying neural responses in humans and nonhuman primates have mapped out visual response profiles and cognitive modulation in a large number of brain areas, most often using pared down stimuli and highly controlled behavioral paradigms. The historical emphasis on reductionism has placed most studies at one pole of an inherent trade-off between strictly controlled experimental variables and open designs that monitor the brain during its natural modes of operation. This bias toward simplified experiments has strongly shaped the field of visual neuroscience, with little guarantee that the principles and concepts established within that framework will apply more generally. In recent years, a growing number of studies have begun to relax strict experimental control with the aim of understanding how the brain responds under more naturalistic conditions. In this article, we survey research that has explicitly embraced the complexity and rhythm of natural vision. We focus on those studies most pertinent to understanding high-level visual specializations in brains of humans and nonhuman primates. We conclude that representationalist concepts borne from conventional visual experiments fall short in their ability to capture the real-life visual operations undertaken by the brain. More naturalistic approaches, though fraught with experimental and analytic challenges, provide fertile ground for neuroscientists seeking new inroads to investigate how the brain supports core aspects of our daily visual experience.
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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.