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Cited by 399

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 access
Gauthier, Isabel, Williams, Pepper, Tarr, Michael J., Tanaka, James·1998·Vision Research

Abstract

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.

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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

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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
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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

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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