Trial reportProceedings of the National Academy of Sciences of the United States of America2018
Recurrent computations for visual pattern completion.
Trial report in Proceedings of the National Academy of Sciences of the United States of America, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 86 papers.
What it found
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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
86 citing papers in PubMed, 239 citations in OpenAlex.
- Systematic image perturbations reveal persistent gaps between human and machine vision.iScience · 2026Article
- Temporal coding enables hyperacuity in event-based vision.Nature communications · 2026Article
- The neural processes of illusory occlusion in object recognition.Journal of vision · 2026Article
- Noisy models of the ventral stream reveal the impact of recurrence and learned representations on information processing timescales.PLoS computational biology · 2026Article
- Ecological Visual Processing in the Mouse.Annual review of neuroscience · 2026Review
- Exposure to naturalistic occlusion promotes generalized, human-like robustness in deep neural networks.bioRxiv : the preprint server for biology · 2026Article
- Achieving more human brain-like vision via human EEG representational alignment.Communications biology · 2026Article
- Recurrent connections facilitate occluded object recognition by explaining-away.Nature communications · 2026Article
- Article
- Computationally Probing the Role of Time-Limited Neuronal Plasticity in Early Visual Development.Developmental science · 2026Article
- Structured interconnectivity optimizes neural geometry for balancing specificity and generalization in object recognition.Communications biology · 2025Article
- Adaptive communication between cell assemblies and "reader" neurons shapes flexible brain dynamics.PLoS biology · 2025Article
- Effects of Partial Occlusion on Response Dynamics and Interregional Processing within Primate Superior Temporal Sulcus.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Article
- Recurrent pattern completion drives the neocortical representation of sensory inference.Nature neuroscience · 2025Article
- Recurrent issues with deep neural network models of visual recognition.Scientific reports · 2025Article
- Recurrence affects the geometry of visual representations across the ventral visual stream in the human brain.PLoS biology · 2025Article
- Fast and robust visual object recognition in young children.Science advances · 2025Article
- Potential role of developmental experience in the emergence of the parvo-magno distinction.Communications biology · 2025Article
- Neural Dynamics in Extrastriate Cortex Underlying False Alarms.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Article
- Testing the top-down feedback in the central visual field using the reversed depth illusion.iScience · 2025Article
26 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 2 institutions in 2 countries.
Funding
Abstract
Making inferences from partial information constitutes a critical aspect of cognition. During visual perception, pattern completion enables recognition of poorly visible or occluded objects. We combined psychophysics, physiology, and computational models to test the hypothesis that pattern completion is implemented by recurrent computations and present three pieces of evidence that are consistent with this hypothesis. First, subjects robustly recognized objects even when they were rendered <15% visible, but recognition was largely impaired when processing was interrupted by backward masking. Second, invasive physiological responses along the human ventral cortex exhibited visually selective responses to partially visible objects that were delayed compared with whole objects, suggesting the need for additional computations. These physiological delays were correlated with the effects of backward masking. Third, state-of-the-art feed-forward computational architectures were not robust to partial visibility. However, recognition performance was recovered when the model was augmented with attractor-based recurrent connectivity. The recurrent model was able to predict which images of heavily occluded objects were easier or harder for humans to recognize, could capture the effect of introducing a backward mask on recognition behavior, and was consistent with the physiological delays along the human ventral visual stream. These results provide a strong argument of plausibility for the role of recurrent computations in making visual inferences from partial information.
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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.