The DOI matches its Crossref record; 33 of the 33 references it cites were found in a registry or an index.
Reinterpreting visual patterns in mental imagery
Abstract
In a recent paper, Chambers and Reisberg (1985) showed that people cannot reverse classical ambiguous figures in imagery (such as the Necker cube, duck/rabbit, or Schroeder staircase). In three experiments, we refute one kind of explanation for this difficulty: that visual images do not contain information about the geometry of a shape necessary for reinterpreting it or that people cannot apply shape classification procedures to the information in imagery. We show, that given suitable conditions, people can assign novel interpretations to ambiguous images which have been constructed out of parts or mentally transformed. For example, when asked to imagine the letter “D” on its side, affixed to the top of the letter “J”, subjects spontaneously report “seeing” an umbrella. We also show that these reinterpretations are not the result of guessing strategies, and that they speak directly to the issue of whether or not mental images of ambiguous figures can be reconstrued. Finally, we show that arguments from the philosophy literature on the relation between images and descriptions are not relevant to the issue of whether images can be reinterpreted, and we suggest possible explanations for why classical ambiguous figures do not spontaneously reverse in imagery.
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
Cites
A feature-integration theory of attention.
Treisman, A. M., & Gelade, G. (1980) · Cognitive Psychology · doi:10.1016/0010-0285(80)90005-5 · Cited by 12,366
Proceedings of the International Joint Conference on Artificial Intelligence 2007
Bundy, A. (2007) · International Joint Conference on Artificial Intelligence · Cited by 2,761
Podgorny, P., & Kosslyn, S. M. (1982) · The American Journal of Psychology · doi:10.2307/1422671 · Cited by 1,818
Mental Images and Their Transformations
D., C. P., Shepard, R. N., & Cooper, L. A. (1983) · The American Journal of Psychology · doi:10.2307/1422825 · Cited by 1,685
Connectionist models and their properties
FELDMAN, J., & BALLARD, D. (1982) · Cognitive Science · doi:10.1016/s0364-0213(82)80001-3 · Cited by 1,474
Hoffman, D. D., & Richards, W. A. (1984) · Cognition · doi:10.1016/0010-0277(84)90022-2 · Cited by 1,342
What the Mind’s Eye Tells the Mind’s Brain: A Critique of Mental Imagery
Pylyshyn, Z. W. (1973) · Images, Perception, and Knowledge · doi:10.1007/978-94-010-1193-8_1 · Cited by 1,342
What the mind's eye tells the mind's brain: A critique of mental imagery.
Pylyshyn, Z. W. (1973) · Psychological Bulletin · doi:10.1037/h0034650 · Cited by 1,191
Ullman, S. (1984) · Cognition · doi:10.1016/0010-0277(84)90023-4 · Cited by 1,027
Attention: Contemporary Theory and Analysis
Coren, S., & Mostofsky, D. I. (1972) · The American Journal of Psychology · doi:10.2307/1421723 · Cited by 745
Cited by
Brain areas underlying visual mental imagery and visual perception: an fMRI study
Ganis, G., Thompson, W. L., & Kosslyn, S. M. (2004) · Cognitive Brain Research · doi:10.1016/j.cogbrainres.2004.02.012 · Cited by 765
Mental imagery: In search of a theory
Pylyshyn, Z. W. (2002) · Behavioral and Brain Sciences · doi:10.1017/s0140525x02000043 · Cited by 722
The case of K.C.: contributions of a memory-impaired person to memory theory
Rosenbaum, R. S., Köhler, S., Schacter, D. L., Moscovitch, M., Westmacott, R., Black, S. E., Gao, F., & Tulving, E. (2005) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2004.10.007 · Cited by 433
The functional impact of mental imagery on conscious perception
Pearson, J., Clifford, C. W. G., & Tong, F. (2008) · Current Biology · doi:10.1016/j.cub.2008.05.048 · Cited by 409
Auditory imagery: Empirical findings
Hubbard, T. L. (2010) · Psychological Bulletin · doi:10.1037/a0018436 · Cited by 310
Metadata
- Authors
- Finks, R.
- Venue
- Cognitive Science
- Publisher
- Wiley
- Published
- 1989-03
- Volume
- 13
- Issue
- 1
- Pages
- 51-78
- ISSN
- 0364-0213 (ISSN-L)
- OpenAlex
- W2145916745
- Cited by
- 257
- References
- 33
- FWCI
- 3.69
- 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: Reinterpreting visual patterns in mental imagery. https://app.cochat.ai/papers/10.1016/0364-0213(89)90011-6
- The paper
- Finks, R. (1989). Reinterpreting visual patterns in mental imagery. Cognitive Science. https://doi.org/10.1016/0364-0213(89)90011-6
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.