ArticleNature human behaviour2023
A quantitative model of ensemble perception as summed activation in feature space.
Article in Nature human behaviour, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 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
17 citing papers in PubMed.
- Spatial anisotropy in crowding and ensemble perception.Journal of vision · 2026Article
- Redesigning algorithms to intervene on social norm misperceptions during a national election.Nature · 2026Article
- The Target Confusability Competition ensemble model predicts full feature distribution reports.Psychonomic bulletin & review · 2026Article
- Hierarchical Summary Statistics Encoding Across Primary Visual and Posterior Parietal Cortices.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Individual and ensemble perception in naturalistic scenes: Effects of context and presentation time.PloS one · 2026Article
- Chunking, Attraction, Repulsion, and Ensemble Effects Are Ubiquitous in Visual Working Memory.Open mind : discoveries in cognitive science · 2026Article
- The perceptual average in ensemble representation: Neither perceptual nor an average.Attention, perception & psychophysics · 2025Article
- Perceptual Support for Temporal Normalization Across Hundreds of Milliseconds.bioRxiv : the preprint server for biology · 2025Article
- Similarity in feature space dictates the efficiency of attentional selection during ensemble processing.Psychonomic bulletin & review · 2025Article
- Zooming in on what counts as core and auxiliary: A case study on recognition models of visual working memory.Psychonomic bulletin & review · 2025Review
- Categorical frequency judgments as effective ensemble judgments for object features.Scientific reports · 2025Article
- Time Course of Orientation Ensemble Representation in the Human Brain.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Article
- The representational instability in the generalization of fear learning.NPJ science of learning · 2024Article
- Color crowding considered as adaptive spatial integration.Journal of vision · 2024Article
- The functional role of spatial anisotropies in ensemble perception.BMC biology · 2024Article
- A signal-detection account of item-based and ensemble-based visual change detection: A reply to Harrison, McMaster, and Bays.Journal of vision · 2024Article
- Amplification in the evaluation of multiple emotional expressions over time.Nature human behaviour · 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.
Funding
Abstract
Ensemble perception is a process by which we summarize complex scenes. Despite the importance of ensemble perception to everyday cognition, there are few computational models that provide a formal account of this process. Here we develop and test a model in which ensemble representations reflect the global sum of activation signals across all individual items. We leverage this set of minimal assumptions to formally connect a model of memory for individual items to ensembles. We compare our ensemble model against a set of alternative models in five experiments. Our approach uses performance on a visual memory task for individual items to generate zero-free-parameter predictions of interindividual and intraindividual differences in performance on an ensemble continuous-report task. Our top-down modelling approach formally unifies models of memory for individual items and ensembles and opens a venue for building and comparing models of distinct memory processes and representations.
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.