ArticlePsychonomic bulletin & review2026
The Target Confusability Competition ensemble model predicts full feature distribution reports.
Article in Psychonomic bulletin & review, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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Authors and funding
3 authors.
Funding
Abstract
Khvostov et al. (Psychonomic Bulletin & Review 32: 2903-2912, 2025) present compelling evidence that observers have explicit access to detailed ensemble feature distributions, challenging the traditional view that only summary statistics are available. Here, we demonstrate that the Target Confusability Competition (TCC) ensemble model (Robinson & Brady, Nature Human Behaviour, 7: 1638-1651, 2023) provides a straightforward process-level account of these results. Without any parameter tuning, the model accurately predicts the observed response patterns across Gaussian, uniform, and bimodal color distributions. This alignment underscores the utility of TCC-ensemble in explaining ensemble perception and highlights the value of similarity-based encoding and integration mechanisms in supporting access to distributional structure.
Indexed as
Identifiers
42225973What 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.