The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Training ‘greeble’ experts: a framework for studying expert object recognition processes
Open accessAbstract
Twelve participants were trained to be experts at identifying a set of 'Greebles', novel objects that, like faces, all share a common spatial configuration. Tests comparing expert with novice performance revealed: (1) a surprising mix of generalizability and specificity in expert object recognition processes; and (2) that expertise is a multi-faceted phenomenon, neither adequately described by a single term nor adequately assessed by a single task. Greeble recognition by a simple neural-network model is also evaluated, and the model is found to account surprisingly well for both generalization and individuation using a single set of processes and representations.
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
The fusiform face area: a module in human extrastriate cortex specialized for face perception
Kanwisher, N., McDermott, J., & Chun, M. M. (1997) · The Journal of Neuroscience · doi:10.1523/jneurosci.17-11-04302.1997 · Cited by 7,738
Basic objects in natural categories
Rosch, E., Mervis, C. B., Gray, W. D., Johnson, D. M., & Boyes-Braem, P. (1976) · Cognitive Psychology · doi:10.1016/0010-0285(76)90013-x · Cited by 5,643
Yin, R. K. (1969) · Journal of Experimental Psychology · doi:10.1037/h0027474 · Cited by 2,624
Face-specific processing in the human fusiform gyrus
McCarthy, G., Puce, A., Gore, J. C., & Allison, T. (1997) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.1997.9.5.605 · Cited by 1,127
Cited by
The many faces of configural processing
Maurer, D., Grand, R. L., & Mondloch, C. J. (2002) · Trends in Cognitive Sciences · doi:10.1016/s1364-6613(02)01903-4 · Cited by 2,110
The fusiform face area: a cortical region specialized for the perception of faces
Kanwisher, N., & Yovel, G. (2006) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2006.1934 · Cited by 1,718
Expertise for cars and birds recruits brain areas involved in face recognition
Gauthier, I., Skudlarski, P., Gore, J. C., & Anderson, A. W. (2000) · Nature Neuroscience · doi:10.1038/72140 · Cited by 1,418
Face-specific processing in the human fusiform gyrus
McCarthy, G., Puce, A., Gore, J. C., & Allison, T. (1997) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.1997.9.5.605 · Cited by 1,127
Schultz, R. T. (2005) · International Journal of Developmental Neuroscience · doi:10.1016/j.ijdevneu.2004.12.012 · Cited by 1,071
Metadata
- Authors
- Gauthier, I., Williams, P., Tarr, M. J., & Tanaka, J.
- Venue
- Vision Research
- Publisher
- Elsevier BV
- Published
- 1998-08
- Volume
- 38
- Issue
- 15-16
- Pages
- 2401-2428
- ISSN
- 0042-6989 (ISSN-L)
- OpenAlex
- W2122633888
- Cited by
- 399
- References
- 4
- FWCI
- 3.79
- Type
- journal article
- Language
- en
- Open access
- hybrid
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: Training ‘greeble’ experts: a framework for studying expert object recognition processes. https://app.cochat.ai/papers/10.1016/s0042-6989(97)00442-2
- The paper
- Gauthier, I., Williams, P., Tarr, M. J., & Tanaka, J. (1998). Training ‘greeble’ experts: a framework for studying expert object recognition processes. Vision Research. https://doi.org/10.1016/s0042-6989(97)00442-2
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.