Attention, similarity, and the identification-categorization relationship.
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Summary
A unified quantitative approach to modeling subjects' identification and categorization of multidimensional perceptual stimuli is proposed and tested and some support was gained for the hypothesis that subjects distribute attention among component dimensions so as to optimize categorization performance.
- Type
- article
- Published
- 1986-03-01
- Cited by
- 2,985
- References
- 58
- Access
- Open access
- OpenAlex
- https://openalex.org/W2132089731
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:8869524
Keywords
Categorization, Multidimensional scaling, Similarity (geometry), Psychology, Identification (biology)
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- Response selection processes for conjunctive targets.
- Two methods for encoding clusters
- Perceptual interactions of facial dimensions in speeded classification and identification
- Prototype and exemplar accounts of category learning and attentional allocation: a reassessment.
- Discrimination strategies of humans and rhesus monkeys for complex visual displays.
- Visual noise reveals category representations
- Two Languages, Two Minds
- A general valence asymmetry in similarity: Good is more alike than bad.
- Occipitotemporal Representations Reflect Individual Differences in Conceptual Knowledge
- Saliency effects in distributional learning
- Object discovery and identification
- Natural classes are not enough: Biased generalization in novel onset clusters
- A computational model of eye-movements in category learning
- Plasticity in second language (L2) learning : perception of L2 phonemes by native Greek speakers of English
- Doing without Concepts
- The Role of Socioindexical Expectation in Speech Perception.
- MEMORY AND DECISION MAKING
- Hierarchical Bayesian inference in the brain: psychological models and neural implementation
- The alicPrep statistic as a measure of confidence in model fitting
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