The DOI matches its Crossref record.
Superstitious Perceptions Reveal Properties of Internal Representations
Abstract
Everyone has seen a human face in a cloud, a pebble, or blots on a wall. Evidence of superstitious perceptions has been documented since classical antiquity, but has received little scientific attention. In the study reported here, we used superstitious perceptions in a new principled method to reveal the properties of unobservable object representations in memory. We stimulated the visual system with unstructured white noise. Observers firmly believed that they perceived the letter S in Experiment 1 and a smile on a face in Experiment 2. Using reverse correlation and computational analyses, we rendered the memory representations underlying these superstitious perceptions.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Compensatory control and the appeal of a structured world.
Landau, M. J., Kay, A. C., & Whitson, J. A. (2015) · Psychological Bulletin · doi:10.1037/a0038703 · Cited by 479
Psychophysical magic: rendering the visible ‘invisible’
Kim, C.-Y., & Blake, R. (2005) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2005.06.012 · Cited by 451
Reverse Correlating Social Face Perception
Dotsch, R., & Todorov, A. (2012) · Social Psychological and Personality Science · doi:10.1177/1948550611430272 · Cited by 264
Varieties of cognitive penetration in visual perception
Vetter, P., & Newen, A. (2014) · Consciousness and Cognition · doi:10.1016/j.concog.2014.04.007 · Cited by 263
Making the ineffable explicit: estimating the information employed for face classifications
Mangini, M. C., & Biederman, I. (2004) · Cognitive Science · doi:10.1207/s15516709cog2802_4 · Cited by 208
Metadata
- Authors
- Gosselin, F., & Schyns, P. G.
- Venue
- Psychological Science
- Publisher
- SAGE Publications
- Published
- 2003-09
- Volume
- 14
- Issue
- 5
- Pages
- 505-509
- ISSN
- 0956-7976 (ISSN-L)
- 1467-9280
- OpenAlex
- W2104390800
- Cited by
- 178
- References
- 0
- FWCI
- 2.26
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Superstitious Perceptions Reveal Properties of Internal Representations. https://app.cochat.ai/papers/10.1111/1467-9280.03452
- The paper
- Gosselin, F., & Schyns, P. G. (2003). Superstitious Perceptions Reveal Properties of Internal Representations. Psychological Science. https://doi.org/10.1111/1467-9280.03452
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.