The DOI matches its Crossref record; 15 of the 15 references it cites were found in a registry or an index.
PERCEPTUAL LEARNING
Abstract
▪ Abstract Perceptual learning involves relatively long-lasting changes to an organism's perceptual system that improve its ability to respond to its environment. Four mechanisms of perceptual learning are discussed: attention weighting, imprinting, differentiation, and unitization. By attention weighting, perception becomes adapted to tasks and environments by increasing the attention paid to important dimensions and features. By imprinting, receptors are developed that are specialized for stimuli or parts of stimuli. By differentiation, stimuli that were once indistinguishable become psychologically separated. By unitization, tasks that originally required detection of several parts are accomplished by detecting a single constructed unit representing a complex configuration. Research from cognitive psychology, psychophysics, neuroscience, expert/novice differences, development, computer science, and cross-cultural differences is described that relates to these mechanisms. The locus, limits, and applications of perceptual learning are also discussed.
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Cites
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Rethinking Innateness: A Connectionist Perspective on Development
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Cited by
Neuronal Synchrony: A Versatile Code for the Definition of Relations?
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Can language restructure cognition? The case for space
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Metadata
- Authors
- Goldstone, R. L.
- Venue
- Annual Review of Psychology
- Publisher
- Annual Reviews
- Published
- 1998-02
- Volume
- 49
- Issue
- 1
- Pages
- 585-612
- ISSN
- 0066-4308 (ISSN-L)
- 1545-2085
- OpenAlex
- W4238878716
- Cited by
- 903
- References
- 15
- FWCI
- 1.38
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
